Call Details
Bolna ID:
bbc15901-0872-4fdf-8cf6-81ee3d63cc4e
Phone: +919742964549
From: +918031274410
Status: no-answer
Processing: COMPLETED
Duration: N/A
Cost: N/A
Hangup Details
Hangup By: Carrier
Reason: Call recipient rejected
Timestamps
Started:
2025-11-11 10:39:26
Ended:
Not set
Last Processed:
2025-11-11 10:48:24
Last Retry At:
2025-11-11 10:48:24
Next Retry Scheduled:
2025-11-11 10:45:28
Next Call Scheduled:
2025-11-11 10:45:28
Call Timeline 14
Call History (Raw Callbacks) 8
{created_at_str=2025-11-11 05:16:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=3.5, batch_id=null, cost_breakdown={synthesizer=1.71, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=1.71}, llm=0.07100000000000001, transfer_cost=0.0, platform=0.5, transcriber_breakdown={analytics=0, conversation=0.0}, network=0.5, llm_breakdown={analytics=0, summarization=0.004, extraction=0, conversation=0.049, hangup=0.018}}, created_at=2025-11-11T05:16:25.321959, scheduled_at=2025-11-11T05:16:25.321934, custom_extractions=null, telephony_data={duration=17.0, to_number=+919742964549, provider_call_id=d99386da-0bc7-4708-bd10-b611a1d419f2, hosted_telephony=true, recording_url=https://bolna-recordings-india.s3.ap-south-1.amazonaws.com/plivo/d99386da-0bc7-4708-bd10-b611a1d419f2.mp3, provider=plivo, hangup_provider_code=4000, from_number=+918031274410, call_type=outbound, hangup_by=Callee, hangup_reason=Call recipient hungup}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user: hi
assistant: Hi, this is Anita from Outspark Resume Services, a part of Times-of-India Group. Is this a good time to connect about transforming your resume to get more interview
, updated_at=2025-11-11T05:17:14.331668, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:17:14, id=f4885af6-311d-4be5-ae4c-491621d4004d, campaign_id=null, summary=The conversation begins with the agent, Anita from Outspark Resume Services, greeting the user and asking if it's a good time to discuss transforming their resume to increase interview opportunities. The user responds with a simple "hi.", error_message=null, rescheduled_at_str=null, agent_extraction={"asst_T3MUlbYNAcyJN8Sd6SgOdOpc": {"dispositions": {"disposition_1": "Contact Made", "disposition_2": "Positive Engagement", "disposition_3": "Interested"}}}, transfer_call_data=null, parsedAgentExtraction={asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Contact Made, disposition_2=Positive Engagement, disposition_3=Interested}}}, smart_status=dropped, conversation_duration=16.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=171, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=171, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=44, input=50}, azure_gpt-4_1-mini={output=37, input=1072}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=44, input=50, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=37, input=1072, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=7, input=1220, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:16:25, status=completed}
{created_at_str=2025-11-11 05:16:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=1.78, batch_id=null, cost_breakdown={synthesizer=1.71, transcriber=0.0, synthesizer_breakdown={welcome_message=0, conversation=1.71}, llm=0.07100000000000001, platform=0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0, llm_breakdown={analytics=0, summarization=0.004, extraction=0, conversation=0.049, hangup=0.018}}, created_at=2025-11-11T05:16:25.321959, scheduled_at=2025-11-11T05:16:25.321934, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=d99386da-0bc7-4708-bd10-b611a1d419f2, hosted_telephony=true, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user: hi
assistant: Hi, this is Anita from Outspark Resume Services, a part of Times-of-India Group. Is this a good time to connect about transforming your resume to get more interview
, updated_at=2025-11-11T05:16:56.684682, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:16:56, id=f4885af6-311d-4be5-ae4c-491621d4004d, campaign_id=null, summary=The conversation begins with the agent, Anita from Outspark Resume Services, greeting the user and asking if it's a good time to discuss transforming their resume to increase interview opportunities. The user responds with a simple "hi.", error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=16.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=171, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=171, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=44, input=50}, azure_gpt-4_1-mini={output=37, input=1072}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=44, input=50, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=37, input=1072, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=7, input=1220, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:16:25, status=call-disconnected}
{created_at_str=2025-11-11 05:16:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:16:25.321959, scheduled_at=2025-11-11T05:16:25.321934, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=d99386da-0bc7-4708-bd10-b611a1d419f2, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:16:37.020048, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:16:37, id=f4885af6-311d-4be5-ae4c-491621d4004d, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:16:25, status=in-progress}
{created_at_str=2025-11-11 05:16:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:16:25.321959, scheduled_at=2025-11-11T05:16:25.321934, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=d99386da-0bc7-4708-bd10-b611a1d419f2, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:16:28.639175, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:16:28, id=f4885af6-311d-4be5-ae4c-491621d4004d, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:16:25, status=ringing}
{created_at_str=2025-11-11 05:16:25, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:16:25.321959, scheduled_at=2025-11-11T05:16:25.321934, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=d99386da-0bc7-4708-bd10-b611a1d419f2, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:16:27.670652, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:16:27, id=f4885af6-311d-4be5-ae4c-491621d4004d, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:16:25, status=initiated}
{created_at_str=2025-11-11 05:09:27, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:09:27.320198, scheduled_at=2025-11-11T05:09:27.320173, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=e107e5dd-81aa-4ac0-92ba-3bfc5986ab4a, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=3020, from_number=+918031274410, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient rejected}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=2025-11-11 10:28:35, callback_request_id=null, is_callback=null, fullName=Tandava, resume_review_id=6912c24c9f941c720e7574ca, reviewDetails={overallScore={score=62, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume is generally clear, with key sections like Professional Summary and Technical Skills prominently placed. However, the inclusion of dates and listing format seems inconsistent, affecting overall readability., score=66, readability=The resume maintains a structured format that enhances readability. Slight adjustments in formatting and hierarchical presentation could further improve the ease of reading., essentialSectionsPresence=All essential sections such as Experience, Technical Skills, and Projects are included, providing a comprehensive overview of professional capabilities. However, the chronological order in the Experience section needs attention for clarity and emphasis on recent accomplishments., scale=100}, atsReadabilityScore={feedback=Keywords relevant to Azure and DevOps are adequately included, supporting ATS readability. Structuring some sections more conventionally would benefit ATS compatibility further., score=64, scale=100, keyElementsReadableByATS=Major elements like contact information and skills are organized for ATS readability. Reinforcing this with keyword variations and standardized job titles could provide additional assurance of ATS compatibility.}, impact={feedback=The resume includes various impactful responsibilities and achievements. Yet, it can benefit from adding more quantifiable achievements for further impact., score=62, spellCheck=The resume appears to be free of spelling errors, demonstrating attention to detail. Ensuring there are no grammatical errors would further refine this aspect., bulletPointsUsage=Bullet Point usage is consistent throughout, making each section digestible and easy to skim. This could be further enhanced by grouping similar bullet points to streamline information., weakActionVerbs=The choice of action verbs in many sections is strong, but some could be replaced with more decisive alternatives to better convey impact. Words like 'managed' could be substituted with 'spearheaded' or 'led'., scale=100, quantifyingImpact=While the resume does highlight key accomplishments, there is minimal use of quantifiable data to demonstrate the impact. Incorporating percentages or figures would provide a clearer picture of professional contributions., repetitionAvoidance=The document avoids significant repetition in most sections. There are a few areas where action verbs are repeated and can be varied to maintain engagement., accomplishmentLanguage=Language consistently focuses on accomplishments and responsibilities, which provides a positive portrayal of capabilities. Enhancing this with more results-oriented language could offer better insights into impact.}, crispness={feedback=The resume spans a reasonable length, yet some bullet points contain excessive details that could be condensed for clarity. Avoiding fillers would enhance focus and precision., resumeLength=With multiple employment roles detailed, the resume length is apt for showcasing breadth of experience. However, brevity in each section can emphasize key skills and reduce reader fatigue., score=58, bulletPointsCount=A high number of bullet points are used, providing detailed insight but potentially overwhelming the reader. Prioritizing key points can streamline the sections for better focus., fillerWords=The presence of filler words slightly dilutes the crispness of key points. Eliminating unnecessary words can strengthen the message and provide clarity., bulletPointLength=Several bullet points are lengthy, diluting their impact. Aim to edit these down to one concise line where possible to maintain reader engagement., scale=100}, qualityAddOn={feedback=The resume is largely free of buzzwords, yet some areas could benefit from more concrete language. Consistent date formatting throughout needs attention to maintain professionalism., score=60, buzzwordsCliches=While minimal reliance on clichés is appreciated, specific instances could be refined with precise language. Avoiding terms like 'results-driven' would provide a more personalized message., datesFormatting=Date formatting lacks consistency, which may confuse ATS systems. Ensure uniformity, such as using 'Month Year - Month Year' for ease of understanding., activeVoice=The active voice is predominantly used, enhancing the dynamism of the professional summary. Further reinforcing this in less emphatic sections would create a balanced and assertive tone., scale=100, personalPronounsUsage=There is a good adherence to omitting personal pronouns, maintaining a professional tone. This strengthens the resume's objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:10:27.88738, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:10:27, id=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=19, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=19}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:09:27, status=no-answer}
{created_at_str=2025-11-11 05:09:27, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:09:27.320198, scheduled_at=2025-11-11T05:09:27.320173, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=e107e5dd-81aa-4ac0-92ba-3bfc5986ab4a, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=2025-11-11 10:28:35, callback_request_id=null, is_callback=null, fullName=Tandava, resume_review_id=6912c24c9f941c720e7574ca, reviewDetails={overallScore={score=62, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume is generally clear, with key sections like Professional Summary and Technical Skills prominently placed. However, the inclusion of dates and listing format seems inconsistent, affecting overall readability., score=66, readability=The resume maintains a structured format that enhances readability. Slight adjustments in formatting and hierarchical presentation could further improve the ease of reading., essentialSectionsPresence=All essential sections such as Experience, Technical Skills, and Projects are included, providing a comprehensive overview of professional capabilities. However, the chronological order in the Experience section needs attention for clarity and emphasis on recent accomplishments., scale=100}, atsReadabilityScore={feedback=Keywords relevant to Azure and DevOps are adequately included, supporting ATS readability. Structuring some sections more conventionally would benefit ATS compatibility further., score=64, scale=100, keyElementsReadableByATS=Major elements like contact information and skills are organized for ATS readability. Reinforcing this with keyword variations and standardized job titles could provide additional assurance of ATS compatibility.}, impact={feedback=The resume includes various impactful responsibilities and achievements. Yet, it can benefit from adding more quantifiable achievements for further impact., score=62, spellCheck=The resume appears to be free of spelling errors, demonstrating attention to detail. Ensuring there are no grammatical errors would further refine this aspect., bulletPointsUsage=Bullet Point usage is consistent throughout, making each section digestible and easy to skim. This could be further enhanced by grouping similar bullet points to streamline information., weakActionVerbs=The choice of action verbs in many sections is strong, but some could be replaced with more decisive alternatives to better convey impact. Words like 'managed' could be substituted with 'spearheaded' or 'led'., scale=100, quantifyingImpact=While the resume does highlight key accomplishments, there is minimal use of quantifiable data to demonstrate the impact. Incorporating percentages or figures would provide a clearer picture of professional contributions., repetitionAvoidance=The document avoids significant repetition in most sections. There are a few areas where action verbs are repeated and can be varied to maintain engagement., accomplishmentLanguage=Language consistently focuses on accomplishments and responsibilities, which provides a positive portrayal of capabilities. Enhancing this with more results-oriented language could offer better insights into impact.}, crispness={feedback=The resume spans a reasonable length, yet some bullet points contain excessive details that could be condensed for clarity. Avoiding fillers would enhance focus and precision., resumeLength=With multiple employment roles detailed, the resume length is apt for showcasing breadth of experience. However, brevity in each section can emphasize key skills and reduce reader fatigue., score=58, bulletPointsCount=A high number of bullet points are used, providing detailed insight but potentially overwhelming the reader. Prioritizing key points can streamline the sections for better focus., fillerWords=The presence of filler words slightly dilutes the crispness of key points. Eliminating unnecessary words can strengthen the message and provide clarity., bulletPointLength=Several bullet points are lengthy, diluting their impact. Aim to edit these down to one concise line where possible to maintain reader engagement., scale=100}, qualityAddOn={feedback=The resume is largely free of buzzwords, yet some areas could benefit from more concrete language. Consistent date formatting throughout needs attention to maintain professionalism., score=60, buzzwordsCliches=While minimal reliance on clichés is appreciated, specific instances could be refined with precise language. Avoiding terms like 'results-driven' would provide a more personalized message., datesFormatting=Date formatting lacks consistency, which may confuse ATS systems. Ensure uniformity, such as using 'Month Year - Month Year' for ease of understanding., activeVoice=The active voice is predominantly used, enhancing the dynamism of the professional summary. Further reinforcing this in less emphatic sections would create a balanced and assertive tone., scale=100, personalPronounsUsage=There is a good adherence to omitting personal pronouns, maintaining a professional tone. This strengthens the resume's objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:09:30.95293, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:09:30, id=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=19, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=19}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:09:27, status=ringing}
{created_at_str=2025-11-11 05:09:27, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-11-11T05:09:27.320198, scheduled_at=2025-11-11T05:09:27.320173, custom_extractions=null, telephony_data={duration=0.0, to_number=+919742964549, provider_call_id=e107e5dd-81aa-4ac0-92ba-3bfc5986ab4a, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918031274410, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=2025-11-11 10:28:35, callback_request_id=null, is_callback=null, fullName=Tandava, resume_review_id=6912c24c9f941c720e7574ca, reviewDetails={overallScore={score=62, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume is generally clear, with key sections like Professional Summary and Technical Skills prominently placed. However, the inclusion of dates and listing format seems inconsistent, affecting overall readability., score=66, readability=The resume maintains a structured format that enhances readability. Slight adjustments in formatting and hierarchical presentation could further improve the ease of reading., essentialSectionsPresence=All essential sections such as Experience, Technical Skills, and Projects are included, providing a comprehensive overview of professional capabilities. However, the chronological order in the Experience section needs attention for clarity and emphasis on recent accomplishments., scale=100}, atsReadabilityScore={feedback=Keywords relevant to Azure and DevOps are adequately included, supporting ATS readability. Structuring some sections more conventionally would benefit ATS compatibility further., score=64, scale=100, keyElementsReadableByATS=Major elements like contact information and skills are organized for ATS readability. Reinforcing this with keyword variations and standardized job titles could provide additional assurance of ATS compatibility.}, impact={feedback=The resume includes various impactful responsibilities and achievements. Yet, it can benefit from adding more quantifiable achievements for further impact., score=62, spellCheck=The resume appears to be free of spelling errors, demonstrating attention to detail. Ensuring there are no grammatical errors would further refine this aspect., bulletPointsUsage=Bullet Point usage is consistent throughout, making each section digestible and easy to skim. This could be further enhanced by grouping similar bullet points to streamline information., weakActionVerbs=The choice of action verbs in many sections is strong, but some could be replaced with more decisive alternatives to better convey impact. Words like 'managed' could be substituted with 'spearheaded' or 'led'., scale=100, quantifyingImpact=While the resume does highlight key accomplishments, there is minimal use of quantifiable data to demonstrate the impact. Incorporating percentages or figures would provide a clearer picture of professional contributions., repetitionAvoidance=The document avoids significant repetition in most sections. There are a few areas where action verbs are repeated and can be varied to maintain engagement., accomplishmentLanguage=Language consistently focuses on accomplishments and responsibilities, which provides a positive portrayal of capabilities. Enhancing this with more results-oriented language could offer better insights into impact.}, crispness={feedback=The resume spans a reasonable length, yet some bullet points contain excessive details that could be condensed for clarity. Avoiding fillers would enhance focus and precision., resumeLength=With multiple employment roles detailed, the resume length is apt for showcasing breadth of experience. However, brevity in each section can emphasize key skills and reduce reader fatigue., score=58, bulletPointsCount=A high number of bullet points are used, providing detailed insight but potentially overwhelming the reader. Prioritizing key points can streamline the sections for better focus., fillerWords=The presence of filler words slightly dilutes the crispness of key points. Eliminating unnecessary words can strengthen the message and provide clarity., bulletPointLength=Several bullet points are lengthy, diluting their impact. Aim to edit these down to one concise line where possible to maintain reader engagement., scale=100}, qualityAddOn={feedback=The resume is largely free of buzzwords, yet some areas could benefit from more concrete language. Consistent date formatting throughout needs attention to maintain professionalism., score=60, buzzwordsCliches=While minimal reliance on clichés is appreciated, specific instances could be refined with precise language. Avoiding terms like 'results-driven' would provide a more personalized message., datesFormatting=Date formatting lacks consistency, which may confuse ATS systems. Ensure uniformity, such as using 'Month Year - Month Year' for ease of understanding., activeVoice=The active voice is predominantly used, enhancing the dynamism of the professional summary. Further reinforcing this in less emphatic sections would create a balanced and assertive tone., scale=100, personalPronounsUsage=There is a good adherence to omitting personal pronouns, maintaining a professional tone. This strengthens the resume's objectivity.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-11-11T05:09:29.568585, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-11-11 05:09:29, id=bbc15901-0872-4fdf-8cf6-81ee3d63cc4e, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=19, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=19}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-11-11 05:09:27, status=initiated}
Context Details
{recipient_phone_number=+919742964549, recipient_data={recipient_phone_number=null, review_completed=2025-11-11 10:28:35, callback_request_id=null, is_callback=null, fullName=Tandava, resume_review_id=6912c24c9f941c720e7574ca, parentBolnaId=null, attemptType=null}, resume_review_id=null}