Call Details

Bolna ID: 6704bc5c-9129-478a-986f-06986ce22db5

Phone: +918407950710

From: +918035316264

Status: completed

Processing: COMPLETED

Duration: 17.00s

Cost: ₹3.00

Hangup Details

Hangup By: Callee

Reason: Call recipient hungup

Timestamps

Started:
2025-10-05 11:28:28

Ended:
Not set

Last Processed:
2025-10-05 11:30:27

Last Retry At:
2025-10-05 11:30:27

Next Retry Scheduled:
Not scheduled

Next Call Scheduled:
Not scheduled

Call Timeline 7
2025-10-05 11:28:29
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-10-05 11:28:32
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-05 11:28:33
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-05 11:28:38
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-05 11:28:58
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹1.50
Duration: 17.00s
2025-10-05 11:29:02
COMPLETED MAIN
CALLBACK_UPDATE
₹3.00
Duration: 17.00s
Metadata: {asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Call Connected, disposition_2=Successful Connection, disposition_3=}}}
2025-10-05 11:30:27
ADDITIONAL_DETAILS_FETCH_SUCCESS MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {timestamp=2025-10-05 11:30:27, message=Successfully fetched and saved additional details}
Call History (Raw Callbacks) 5

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user:  hello
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The focus should remain on achievements and role effectiveness.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-05T05:58:33.026868, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-05 05:58:33, id=6704bc5c-9129-478a-986f-06986ce22db5, 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=16, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=16}, 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=2025-10-05 05:58:29, status=ringing}

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However, the sections need better organization to improve readability and searchability., score=60, readability=Readability is impacted by inconsistent formatting in date entries, making it difficult for ATS systems to accurately parse the data. Additionally, the lack of subheadings for different sections decreases the ease of navigation for potential employers., essentialSectionsPresence=The essential sections like Experience and Education are present, but they lack reverse chronological order. This restructuring is crucial to effectively highlight the most recent experiences first., scale=100}, atsReadabilityScore={feedback=The structural organization needs improvement for better ATS parsing due to unstructured elements. Ensuring key information is clearly labeled can improve automatic parsing by systems., score=60, scale=100, keyElementsReadableByATS=Essential key elements are present but are hindered by inconsistent formatting which could confuse ATS systems. Simplified, uniform formatting and clear headings will enhance ATS compatibility.}, impact={feedback=The impact section shows some effort in describing experiences but lacks quantifiable achievements. Stronger action verbs and metrics could significantly enhance this section., score=58, spellCheck=There are spelling inconsistencies such as 'SUpervisor', indicating a need for thorough proofreading. Correcting these errors is essential in projecting attention to detail and professionalism., bulletPointsUsage=Bullet points are used but not consistently, leading to a mixed understanding of roles and achievements. Consistent bullet points would help in clearly delineing job functions and achievements., weakActionVerbs=Several weak verbs are present that do not fully convey the depth of the roles undertaken. Replacing these with dynamic, strong verbs would better capture the reader’s attention and improve the impression of capability., scale=100, quantifyingImpact=There is minimal use of quantitative data to showcase achievements, which weakens the overall perceived impact. Including specific numbers or percentages would raise the profile of accomplishments., repetitionAvoidance=There is noticeable repetition of certain verbs like 'manage' and 'ensure', which makes the descriptions monotonous. Introducing varied action verbs could make the resume more engaging., accomplishmentLanguage=The language tends to focus more on responsibilities rather than achievements. Implementing a results-oriented description would demonstrate effectiveness and add professionalism to the resume.}, crispness={feedback=The resume's length is longer than necessary, considering the experience outlined, impacting clarity and effectiveness. Reducing wordiness in bullet points is necessary for increased crispness., resumeLength=The overall length of the resume appears excessive for the level of experience, contributing to a diluted impact. It could benefit from condensing information to one page for focused impact., score=55, bulletPointsCount=The bullet points are too few in some sections while lacking critical details, suggesting a need for a balanced and informative format. Sparse use of bullet points renders achievements less visible to hiring managers., fillerWords=Filler words are prevalent, diluting the strong assertions needed in professional resumes. Removing these will streamline the content for more impactful and concise messaging., bulletPointLength=A few bullet points are longer than needed, containing verbose language that could be simplified. Keeping bullet points concise ensures clarity and quick readability., scale=100}, qualityAddOn={feedback=The usage of buzzwords reduces the specificity and clarity of roles undertaken. Better consistency in date formatting and the utilization of active voice would strengthen the resume., score=56, buzzwordsCliches=Terms like 'passionate' and 'dedicated' are overused, diluting the uniqueness of the candidate's profile. Striving for specific examples of past successes can highlight experience better., datesFormatting=Date formats are inconsistent, as seen with entries like 'A p r i l 2 0 2 5 - T i l l D a t e'. Consistently using a clear format such as 'Month Year-Month Year' enhances the professional presentation., activeVoice=The resume occasionally uses passive voice, which can diminish perceived ownership of actions. Adopting the active voice throughout would lead to stronger assertions of skills and accomplishments., scale=100, personalPronounsUsage=There is sparse use of personal pronouns, which is ideal for resumes, maintaining an objective tone. The focus should remain on achievements and role effectiveness.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-05T05:58:31.857527, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-05 05:58:31, id=6704bc5c-9129-478a-986f-06986ce22db5, 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=16, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=16}, 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=2025-10-05 05:58:29, status=initiated}
Context Details
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