Dashboard

{created_at_str=2025-10-13 05:45:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=0.78, batch_id=null, cost_breakdown={synthesizer=0.59, transcriber=0.08, synthesizer_breakdown={welcome_message=0, conversation=0.59}, llm=0.107, platform=0, transcriber_breakdown={analytics=0, conversation=0.08}, network=0, llm_breakdown={analytics=0, summarization=0.002, extraction=0, conversation=0.076, hangup=0.029}}, created_at=2025-10-13T05:45:09.951308, scheduled_at=2025-10-13T05:45:09.951271, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=87112344-c68e-48d6-8ec6-19dc45a827f9, hosted_telephony=false, recording_url=, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, 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=840750e1-0906-46bc-a6a0-22e907553b21, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that ?
user:  hello
assistant:  Hi! This
, updated_at=2025-10-13T05:45:57.405819, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:45:57, id=124eea3a-6cc6-48c0-9f2b-1c9096675ca4, campaign_id=null, summary=The conversation begins with the agent greeting the user and confirming their identity. The user responds with a simple "hello." The interaction is brief and does not provide further details or context., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=5.3, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=5.1999373, provider_connected=false}, transcriber_duration=5.1999373, transcriber_model=nova-3, synthesizer_characters=59, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=59, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=36, input=18}, azure_gpt-4_1-mini={output=17, input=1825}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=36, input=18, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=17, input=1825, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup={output=7, input=1941, provider_connected=false, provider=openai, model=gpt-4o-mini}}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-13 05:45:09, status=call-disconnected}

{created_at_str=2025-10-13 05:45:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:45:09.951308, scheduled_at=2025-10-13T05:45:09.951271, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=87112344-c68e-48d6-8ec6-19dc45a827f9, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, 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=840750e1-0906-46bc-a6a0-22e907553b21, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:45:42.6004, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:45:42, id=124eea3a-6cc6-48c0-9f2b-1c9096675ca4, 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=2025-10-13 05:45:09, status=in-progress}

{created_at_str=2025-10-13 05:45:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:45:09.951308, scheduled_at=2025-10-13T05:45:09.951271, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=87112344-c68e-48d6-8ec6-19dc45a827f9, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, 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=840750e1-0906-46bc-a6a0-22e907553b21, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:45:13.648086, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:45:13, id=124eea3a-6cc6-48c0-9f2b-1c9096675ca4, 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=2025-10-13 05:45:09, status=ringing}

{created_at_str=2025-10-13 05:45:09, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:45:09.951308, scheduled_at=2025-10-13T05:45:09.951271, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=87112344-c68e-48d6-8ec6-19dc45a827f9, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, 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=840750e1-0906-46bc-a6a0-22e907553b21, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:45:12.071099, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:45:12, id=124eea3a-6cc6-48c0-9f2b-1c9096675ca4, 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=2025-10-13 05:45:09, status=initiated}

{created_at_str=2025-10-13 05:39:10, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:39:10.996214, scheduled_at=2025-10-13T05:39:10.996191, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=fb0f01f1-181c-45ae-84e4-2f08a3b5b5f3, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=3020, from_number=+918035316264, call_type=outbound, hangup_by=Carrier, hangup_reason=Call recipient rejected}, context_details={recipient_phone_number=+917506024883, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:58:23, callback_request_id=null, is_callback=null, fullName=SANMITRA, resume_review_id=68ec8dca9f941c720e709402, reviewDetails={overallScore={score=61.2, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume's layout covers necessary sections like Summary, Experience, Skills, and Education, making it generally well-constructed for easy navigation. However, the sections are not optimally ordered to highlight recent work first, which can affect immediate readability., score=66, readability=The readability is generally acceptable, with clear section headings and bullet points aiding structure. However, enhancing readability with more concise language and more impactful order of content can improve clarity., essentialSectionsPresence=The essential sections are present, but the order could be improved, starting with the most recent experiences. Rearranging sections could better emphasize the candidate's most current and relevant roles., scale=100}, atsReadabilityScore={feedback=The resume contains well-placed keywords relevant to the industry, aiding in ATS detection. However, increasing keyword density in alignment with targeted roles would enhance scores further., score=67, scale=100, keyElementsReadableByATS=Key elements such as contact info and work history are structured appropriately for ATS systems. Yet, enhancing keyword optimization aligned with desired job roles will improve ATS visibility.}, impact={feedback=The resume lacks a consistent use of quantified achievements, which makes it difficult to assess the impact of past roles. Stronger emphasis on results-driven language across roles would enhance its effectiveness., score=58, spellCheck=The resume seems free from spelling errors, which is essential for professionalism. Continuing to proofread thoroughly will maintain this high standard., bulletPointsUsage=Bullet points are used throughout the experience section but lack depth in illustrating specific achievements or impacts. Increasing the detail in each point to show specific accomplishments could be beneficial., weakActionVerbs=The resume uses some weak action verbs; replacing them with stronger, more specific verbs can lead to a more persuasive narrative. Utilizing terms like 'achieved', 'implemented', and 'led' might provide a boost., scale=100, quantifyingImpact=There's minimal use of quantifiable accomplishments, which weakens the impact. Including specific metrics or outcomes in bullet points will strengthen the presentation of results., repetitionAvoidance=There's a noticeable repetition of language, which could benefit from more varied vocabulary. By diversifying action verbs, the resume can present a more dynamic range of skills., accomplishmentLanguage=Use of accomplishment-oriented language is limited; inclusion of such language will transform job descriptions into more compelling achievements. Including outcome-focused statements will increase persuasive power.}, crispness={feedback=The resume could be crisper with shorter, more focused bullet points without sacrificing detail. Polishing the language to eliminate filler words and streamline content will enhance clarity and impact., resumeLength=The resume length is appropriate for summarizing key experience and skills, but excess wording dilutes impact. Condensing the content will allow for stronger emphasis on significant accomplishments., score=53, bulletPointsCount=The quantity of bullet points is adequate, but each must be substantive and impactful. Ensuring every bullet point contributes unique and essential details will improve overall crispness., fillerWords=There's use of filler words throughout which can be trimmed to enhance directness. Refining language for precision and removing unnecessary words will improve overall sharpness., bulletPointLength=Bullet point length varies too much, with some overly lengthy and lacking conciseness. Keeping points succinct and focused without losing necessary detail will strengthen their impact., scale=100}, qualityAddOn={feedback=The resume avoids most clichés but could benefit from more distinctive language that conveys personality and impact. Consistent date formatting with attention to alignment will enhance professionalism., score=62, buzzwordsCliches=While avoiding excessive clichés, the language can sometimes border on generic. Injecting more specific, personal insights into experiences will increase reader engagement., datesFormatting=Dates are not consistently formatted, which can cause readability issues. Adopting a uniform style like 'MM/YYYY' for all dates will resolve this and strengthen professionalism., activeVoice=The resume employs an active voice for the most part, which maintains engagement. Ensuring consistent use of active constructions across all sections will further improve readability., scale=100, personalPronounsUsage=The resume correctly avoids personal pronouns, which keeps the tone professional. Continuing this practice will benefit clarity and formality.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:40:07.876054, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:40:07, id=840750e1-0906-46bc-a6a0-22e907553b21, 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=20, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=20}, 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=2025-10-13 05:39:10, status=no-answer}

{created_at_str=2025-10-13 05:39:10, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:39:10.996214, scheduled_at=2025-10-13T05:39:10.996191, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=fb0f01f1-181c-45ae-84e4-2f08a3b5b5f3, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:58:23, callback_request_id=null, is_callback=null, fullName=SANMITRA, resume_review_id=68ec8dca9f941c720e709402, reviewDetails={overallScore={score=61.2, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume's layout covers necessary sections like Summary, Experience, Skills, and Education, making it generally well-constructed for easy navigation. However, the sections are not optimally ordered to highlight recent work first, which can affect immediate readability., score=66, readability=The readability is generally acceptable, with clear section headings and bullet points aiding structure. However, enhancing readability with more concise language and more impactful order of content can improve clarity., essentialSectionsPresence=The essential sections are present, but the order could be improved, starting with the most recent experiences. Rearranging sections could better emphasize the candidate's most current and relevant roles., scale=100}, atsReadabilityScore={feedback=The resume contains well-placed keywords relevant to the industry, aiding in ATS detection. However, increasing keyword density in alignment with targeted roles would enhance scores further., score=67, scale=100, keyElementsReadableByATS=Key elements such as contact info and work history are structured appropriately for ATS systems. Yet, enhancing keyword optimization aligned with desired job roles will improve ATS visibility.}, impact={feedback=The resume lacks a consistent use of quantified achievements, which makes it difficult to assess the impact of past roles. Stronger emphasis on results-driven language across roles would enhance its effectiveness., score=58, spellCheck=The resume seems free from spelling errors, which is essential for professionalism. Continuing to proofread thoroughly will maintain this high standard., bulletPointsUsage=Bullet points are used throughout the experience section but lack depth in illustrating specific achievements or impacts. Increasing the detail in each point to show specific accomplishments could be beneficial., weakActionVerbs=The resume uses some weak action verbs; replacing them with stronger, more specific verbs can lead to a more persuasive narrative. Utilizing terms like 'achieved', 'implemented', and 'led' might provide a boost., scale=100, quantifyingImpact=There's minimal use of quantifiable accomplishments, which weakens the impact. Including specific metrics or outcomes in bullet points will strengthen the presentation of results., repetitionAvoidance=There's a noticeable repetition of language, which could benefit from more varied vocabulary. By diversifying action verbs, the resume can present a more dynamic range of skills., accomplishmentLanguage=Use of accomplishment-oriented language is limited; inclusion of such language will transform job descriptions into more compelling achievements. Including outcome-focused statements will increase persuasive power.}, crispness={feedback=The resume could be crisper with shorter, more focused bullet points without sacrificing detail. Polishing the language to eliminate filler words and streamline content will enhance clarity and impact., resumeLength=The resume length is appropriate for summarizing key experience and skills, but excess wording dilutes impact. Condensing the content will allow for stronger emphasis on significant accomplishments., score=53, bulletPointsCount=The quantity of bullet points is adequate, but each must be substantive and impactful. Ensuring every bullet point contributes unique and essential details will improve overall crispness., fillerWords=There's use of filler words throughout which can be trimmed to enhance directness. Refining language for precision and removing unnecessary words will improve overall sharpness., bulletPointLength=Bullet point length varies too much, with some overly lengthy and lacking conciseness. Keeping points succinct and focused without losing necessary detail will strengthen their impact., scale=100}, qualityAddOn={feedback=The resume avoids most clichés but could benefit from more distinctive language that conveys personality and impact. Consistent date formatting with attention to alignment will enhance professionalism., score=62, buzzwordsCliches=While avoiding excessive clichés, the language can sometimes border on generic. Injecting more specific, personal insights into experiences will increase reader engagement., datesFormatting=Dates are not consistently formatted, which can cause readability issues. Adopting a uniform style like 'MM/YYYY' for all dates will resolve this and strengthen professionalism., activeVoice=The resume employs an active voice for the most part, which maintains engagement. Ensuring consistent use of active constructions across all sections will further improve readability., scale=100, personalPronounsUsage=The resume correctly avoids personal pronouns, which keeps the tone professional. Continuing this practice will benefit clarity and formality.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:39:15.468898, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:39:15, id=840750e1-0906-46bc-a6a0-22e907553b21, 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=20, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=20}, 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=2025-10-13 05:39:10, status=ringing}

{created_at_str=2025-10-13 05:39:10, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, 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=2025-10-13T05:39:10.996214, scheduled_at=2025-10-13T05:39:10.996191, custom_extractions=null, telephony_data={duration=0.0, to_number=+917506024883, provider_call_id=fb0f01f1-181c-45ae-84e4-2f08a3b5b5f3, hosted_telephony=false, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+917506024883, recipient_data={recipient_phone_number=null, review_completed=2025-10-13 10:58:23, callback_request_id=null, is_callback=null, fullName=SANMITRA, resume_review_id=68ec8dca9f941c720e709402, reviewDetails={overallScore={score=61.2, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume's layout covers necessary sections like Summary, Experience, Skills, and Education, making it generally well-constructed for easy navigation. However, the sections are not optimally ordered to highlight recent work first, which can affect immediate readability., score=66, readability=The readability is generally acceptable, with clear section headings and bullet points aiding structure. However, enhancing readability with more concise language and more impactful order of content can improve clarity., essentialSectionsPresence=The essential sections are present, but the order could be improved, starting with the most recent experiences. Rearranging sections could better emphasize the candidate's most current and relevant roles., scale=100}, atsReadabilityScore={feedback=The resume contains well-placed keywords relevant to the industry, aiding in ATS detection. However, increasing keyword density in alignment with targeted roles would enhance scores further., score=67, scale=100, keyElementsReadableByATS=Key elements such as contact info and work history are structured appropriately for ATS systems. Yet, enhancing keyword optimization aligned with desired job roles will improve ATS visibility.}, impact={feedback=The resume lacks a consistent use of quantified achievements, which makes it difficult to assess the impact of past roles. Stronger emphasis on results-driven language across roles would enhance its effectiveness., score=58, spellCheck=The resume seems free from spelling errors, which is essential for professionalism. Continuing to proofread thoroughly will maintain this high standard., bulletPointsUsage=Bullet points are used throughout the experience section but lack depth in illustrating specific achievements or impacts. Increasing the detail in each point to show specific accomplishments could be beneficial., weakActionVerbs=The resume uses some weak action verbs; replacing them with stronger, more specific verbs can lead to a more persuasive narrative. Utilizing terms like 'achieved', 'implemented', and 'led' might provide a boost., scale=100, quantifyingImpact=There's minimal use of quantifiable accomplishments, which weakens the impact. Including specific metrics or outcomes in bullet points will strengthen the presentation of results., repetitionAvoidance=There's a noticeable repetition of language, which could benefit from more varied vocabulary. By diversifying action verbs, the resume can present a more dynamic range of skills., accomplishmentLanguage=Use of accomplishment-oriented language is limited; inclusion of such language will transform job descriptions into more compelling achievements. Including outcome-focused statements will increase persuasive power.}, crispness={feedback=The resume could be crisper with shorter, more focused bullet points without sacrificing detail. Polishing the language to eliminate filler words and streamline content will enhance clarity and impact., resumeLength=The resume length is appropriate for summarizing key experience and skills, but excess wording dilutes impact. Condensing the content will allow for stronger emphasis on significant accomplishments., score=53, bulletPointsCount=The quantity of bullet points is adequate, but each must be substantive and impactful. Ensuring every bullet point contributes unique and essential details will improve overall crispness., fillerWords=There's use of filler words throughout which can be trimmed to enhance directness. Refining language for precision and removing unnecessary words will improve overall sharpness., bulletPointLength=Bullet point length varies too much, with some overly lengthy and lacking conciseness. Keeping points succinct and focused without losing necessary detail will strengthen their impact., scale=100}, qualityAddOn={feedback=The resume avoids most clichés but could benefit from more distinctive language that conveys personality and impact. Consistent date formatting with attention to alignment will enhance professionalism., score=62, buzzwordsCliches=While avoiding excessive clichés, the language can sometimes border on generic. Injecting more specific, personal insights into experiences will increase reader engagement., datesFormatting=Dates are not consistently formatted, which can cause readability issues. Adopting a uniform style like 'MM/YYYY' for all dates will resolve this and strengthen professionalism., activeVoice=The resume employs an active voice for the most part, which maintains engagement. Ensuring consistent use of active constructions across all sections will further improve readability., scale=100, personalPronounsUsage=The resume correctly avoids personal pronouns, which keeps the tone professional. Continuing this practice will benefit clarity and formality.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T05:39:14.163746, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 05:39:14, id=840750e1-0906-46bc-a6a0-22e907553b21, 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=20, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=20}, 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=2025-10-13 05:39:10, status=initiated}