Dashboard

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However, the structuring could benefit from improved heading differentiation to enhance visual reading flow., score=65, readability=Overall readability is decent, but some sections merge information too closely, which might confuse ATS systems. Separation of achievements from duties could aid in focus., essentialSectionsPresence=The resume effectively includes key sections such as Professional Summary, Core Competencies, and Professional Experience. Yet, the Education section would benefit from chronological detail, listing the most recent education first., scale=100}, atsReadabilityScore={feedback=The resume aligns well with ATS in terms of structure and use of industry-relevant keywords. Ensuring straightforward formatting without complex structures aids ATS parsing., score=68, scale=100, keyElementsReadableByATS=Key elements like contact information and past employers are notably clear. Inclusion of specific keyword optimization is effective but can be expanded for thoroughness.}, impact={feedback=The resume showcases impact through quantifiable achievements in past roles. More varied action verbs and explicit results in bullet points would enrich the narrative., score=61, spellCheck=The resume seems to be free from spelling mistakes, ensuring professional presentation., bulletPointsUsage=The resume utilizes bullet points effectively to break down responsibilities, although some bullet points are lengthy and merge different ideas., weakActionVerbs=Some passive or generic verbs appear, which underplay the resume's strength. Employing stronger verbs like 'accelerated' or 'increased' could boost impact., scale=100, quantifyingImpact=Quantifiable outcomes are present, but further inclusion of specific metrics and percentages would enhance the resume's persuasive quality., repetitionAvoidance=There is minimal repetition, though some overlapping in terminology could be avoided to diversify expression., accomplishmentLanguage=Accomplishment-driven language is mostly used, however, clearer linkage between actions and outcomes would strengthen the delivery.}, crispness={feedback=While the content is comprehensive, it occasionally lacks crisp articulation, leading to potential engagement issues. Refinement in expressing achievements can retain reader interest., resumeLength=The resume has an adequate length for the experience it covers, summarizing over seven years effectively., score=58, bulletPointsCount=Bullet points are well-distributed, but the length and detail can be overwhelming. Optimization for conciseness is recommended., fillerWords=A minimal presence of filler words can be noted, which somewhat dilutes the textual emphasis., bulletPointLength=Some bullet points contain excessive detail that could be trimmed for quicker comprehension., scale=100}, qualityAddOn={feedback=The resume generally adheres to standard formatting but could avoid some generic buzzwords. Ensuring all stylistic elements align with the professional tone is crucial., score=62, buzzwordsCliches=Certain sections employ typical phrases such as 'team player'. These can be replaced with specific achievements or metrics for better effect., datesFormatting=The date formatting is consistent overall, maintaining clarity across sections., activeVoice=The resume primarily uses active voice, contributing positively to its readability. Continued emphasis on this style is recommended., scale=100, personalPronounsUsage=No use of personal pronouns observed, which is appropriate for professional resumes.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-27T10:47:54.225229, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-27 10:47:54, id=00c8879e-d741-4364-b990-95adc37fecd8, 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=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, 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=2025-10-27 10:47:51, status=initiated}