Dashboard / Candidate
Deepak Yadav
Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 20_deepak_yadav.pdf
Private: squad_4@pg27.mesaschool.co · no phone found
Applied-role score
49/100#12 of 34 PM applicants
PM score
49/100SPM score
32/100Current status
AnalysedBelow shortlist (AI suggestion)
Your decision
1
Why they fit
- Problem -> Change -> Result 25%
The CV provides multiple strong examples where the candidate identified specific operational frictions (e.g., license shortages, manual password resets, manual triage of sensitive cases) and implemented automated solutions linked directly to measurable outcomes, such as reduced downtime, cost savings, and a 40% reduction in triage effort.
- Carries Ambiguous Problems Through to Closure 20%
The candidate coordinated a complex, cross-functional CRM migration during the Air India-Vistara merger, managing cutover across 2.5 Lakh tickets and driving post-merger testing and continuous monitoring frameworks through to resolution.
2
Where they fall short
- Evidence-Led Decisions −20 pts
There is no evidence in the CV showing decisions being changed, stopped, or prioritized based on data, user feedback, or post-mortems. The CV lists business metrics and analytics tools, but solely in the context of delivered features and post-implementation results.
- Gets to the Source Before Designing the Fix −15 pts
Evidence is not present. The CV does not show any instances of the candidate directly observing, interviewing, shadowing, or working alongside agents or passengers to uncover problems, nor how discovery changed the design of a fix.
- Builds Repeatable Ways of Working −12 pts
The candidate created a centralized knowledge base and continuous monitoring frameworks for post-merger integrity. However, the evidence remains partial because it describes technical and system rollouts rather than team operating methods, templates, or review processes that other team members subsequently adopted.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Independent Decision Ownership | 30% | 0/5 | 0.0/30 | The CV does not present evidence of independent decision ownership. While the candidate lists delivered features and project execution, there is no mention of trade-offs, consequential decisions made under uncertainty, or calls made without senior oversight. | Evidence not present in the CV. |
| Problem -> Change -> Business/Operational Result | 20% | 5/5 | 20.0/20 | The candidate provides repeated, concrete examples connecting specific product implementations directly to measurable business and operational results, such as reduced downtime financial loss, reduced AHT, and triage effort reduction. |
|
| Evidence-Led Prioritisation and Reversal | 20% | 0/5 | 0.0/20 | Evidence for evidence-led prioritisation and direction reversal is not present in the CV. There are no examples showing how metrics or customer data were used to stop an initiative or materially alter an earlier direction. | Evidence not present in the CV. |
| Creates Systems Others Run | 15% | 2/5 | 6.0/15 | The candidate notes building continuous monitoring frameworks and implementation documentation during a merger. However, there is limited evidence that these became self-sustaining operating systems or processes adopted and run by others after completion. |
|
| Multi-Party Resolution Under Pressure | 15% | 2/5 | 6.0/15 | The CV shows multi-party coordination across teams for a large CRM cutover and migration during a merger. However, it lacks explicit evidence of managing escalation under pressure, post-mortems, or navigating failures to completion. |
|
| Total | 100% | 32 | The candidate shows exceptional strength in identifying operational problems and delivering automated workflow solutions with clear, quantified business outcomes. However, the profile shows minimal evidence of independent decision ownership under uncertainty, evidence-led reversals, and driving resolutions through high-pressure failures or escalations. | ||
Scoring scale
- 0: No evidence in the CV
- 1: Indirect or participation-only evidence
- 2: Partial: some elements of the description, weak link to outcome
- 3: One clear example matching the description
- 4: Clear example with a visible result, candidate's own action linked to it
- 5: Repeated, strong examples fully matching the description, with results
Weighted contribution = score ÷ 5 × weight. Every quote is checked against the CV text; if none can be verified, the score is capped at 1.
4
Evidence
Verified CV quotes used (PM rubric)
- “Led the automation of the Salesforce user offboarding process via ServiceNow to address Salesforce user license shortage issues” · Problem -> Change -> Result
- “Achieved significant cost savings of ~1 Lakh per month by optimizing license utilization in contact centre environments” · Problem -> Change -> Result
- “Built an automated tagging system in Salesforce W2C to flag sensitive case using keywords like "suicide”, "bomb" in case descriptions” · Problem -> Change -> Result
- “Reduced manual triage effort by 40%, improving response time, brand trust & risk mitigation by timely case escalation & resolution” · Problem -> Change -> Result
- “Implemented a centralized Knowledge Base system over Salesforce for voice and non-voice (Web to Case, Social, Chat) agents” · Builds Repeatable Ways of Working
- “Documented implementation strategy for AI CRM object structures, unified data elements & scalable Databricks integration pipelines” · Builds Repeatable Ways of Working
- “Led post-merger data testing & continuous monitoring frameworks to maintain data integrity across Salesforce CRM & Data Cloud” · Builds Repeatable Ways of Working
- “Coordinated CRM migration with cross-functional teams to merge 2.5 Lakh Vistara tickets with Air India for seamless AI-UK merger” · Carries Ambiguous Problems Through to Closure
- “Managed contact centre cutover strategy, supporting both loyalty & non-loyalty customer data consolidation into a unified CRM” · Carries Ambiguous Problems Through to Closure
- “Led post-merger data testing & continuous monitoring frameworks to maintain data integrity across Salesforce CRM & Data Cloud” · Carries Ambiguous Problems Through to Closure
- “Developed a centralized system for in-flight food and beverage complaints, streamlining resolution with crew, HO, F&B, and caterers” · Carries Ambiguous Problems Through to Closure
Outcomes stated in the CV
- Improved NPS by 20 points and CSAT by 15% within 1.5 years via CRM and telephony implementation at Air India.
- Reduced contact centre call volume by 5% through chatbot upgrades and website self-service options.
- Eliminated 10 Lakh/month financial loss due to downtime by automating Azure AD password resets.
- Saved ~1 Lakh per month by automating Salesforce user offboarding and optimizing license utilization.
- Decreased Average Handling Time (AHT) by 45 seconds through a centralized Knowledge Base system.
- Merged 2.5 Lakh Vistara tickets into Air India CRM during airline merger.
- Reduced manual triage effort by 40% using an automated sensitive case tagging system.
- Reduced in-flight food and beverage complaints by 20% using a centralized management system.
Anonymised CV (exactly what the AI saw)
Email: IIT Kharagpur Mob No: Education Indian Institute of Technology, Kharagpur Dual Degree, Chemistry 2018 – 2023 CGPA - 7.49/10 Skills and Expertise ◦ Tech Skills: Salesforce, SQL, Java, API, DSA, Python, Machine Learning, Tableau, Excel, Jira, Databricks, Qualtrics, Genesys, Smartflo ◦ Analytical Skills: Business Intelligence, Product Vision, Agile Scrum, Data Analysis, Problem Solving, A/B testing, Competitive Analysis ◦ Interpersonal Skills: Communication, Team Collaboration, Adaptability, Strategic Planning, Growth Hacking, Process Optimization Work Experience Product Manager at Air India June 2023 - Present Contact Centre Solution – Transformational Journey (AI Takeover by Tata Group) ◦ Implemented a next-gen CRM Salesforce & Genesys Cloud telephony integrated contact centre solution to support 1,500+ agents ◦ Established 24/7 support with advanced call routing based on language, location, skill set & personalized IVR flows with CDP ◦ Developed auto case creation and used APIs to seamlessly transfer call data and recordings to Azure storage for real-time analytics ◦ Improved NPS by 20 points and increased CSAT by 15% within 1.5 years post-implementation with low-code/no-code approach ◦ Linked call recording to case object in Salesforce for effective and efficient search capabilities for audit compliance ◦ Reduced 5% call volume by upgrading chatbot and launching website self-service options for handling basic customer queries Automation of Azure AD Password Reset for Contact Centre ◦ Automated Azure AD password reset process via ServiceNow to eliminate manual intervention for 1500+ agents without email access ◦ Enhanced productivity & reduced 10 Lakh/month financial loss due to downtime through SSO-enabled apps Salesforce & Amadeus ◦ Achieved 15% reduction in process cycle time & 20% increase in efficiency by secure password delivery to supervisors within seconds Automation of Salesforce User Offboarding ◦ Led the automation of the Salesforce user offboarding process via ServiceNow to address Salesforce user license shortage issues ◦ Achieved significant cost savings of ~1 Lakh per month by optimizing license utilization in contact centre environments Knowledge Base System for Voice and Non-Voice ◦ Implemented a centralized Knowledge Base system over Salesforce for voice and non-voice (Web to Case, Social, Chat) agents ◦ Optimized Knowledge Article recommendations by classification & adding features like attach/detach, favourites, and view tracking ◦ Reduced AHT of contact centre by 45 sec by enabling quick access of article & enhancing agent productivity and knowledge base. Air India-Vistara Merger ◦ Coordinated CRM migration with cross-functional teams to merge 2.5 Lakh Vistara tickets with Air India for seamless AI-UK merger ◦ Documented implementation strategy for AI CRM object structures, unified data elements & scalable Databricks integration pipelines ◦ Managed contact centre cutover strategy, supporting both loyalty & non-loyalty customer data consolidation into a unified CRM ◦ Led post-merger data testing & continuous monitoring frameworks to maintain data integrity across Salesforce CRM & Data Cloud Sensitive Case Tagging System - Web-to-Case (W2C) ◦ Built an automated tagging system in Salesforce W2C to flag sensitive case using keywords like "suicide”, "bomb" in case descriptions ◦ Built alert mechanism to notify stakeholders via SFDC, email & manual tagging feature based on agent judgment for customer safety ◦ Reduced manual triage effort by 40%, improving response time, brand trust & risk mitigation by timely case escalation & resolution Food and Beverage Complaint Management System ◦ Developed a centralized system for in-flight food and beverage complaints, streamlining resolution with crew, HO, F&B, and caterers ◦ Designed severity-based auto-routing in SFDC to prioritize critical issues and enabled photo/video proof uploads for accountability ◦ Reduced complaints by 20% and enhanced in-flight food and beverage quality, customer satisfaction & streamlining issue resolution Position of Responsibilities Founder & President, Pahal Dec 2018 – Jan 2020 ◦ Founded Pahal, an initiative with sole mission of guiding students for career path among underprivileged section of society ◦ Conducted Aptitude Test, Cultural Programs and Sports competition for 1000+ students to promote holistic development ◦ Led a team of 30 members to manage all technical affairs, raising funds and a crowd engagement for events with 5000+ attendees ◦ Collaborated with Bihar Government for campaign 'Jal Jivan Hariyali' to contribute successful formation of Manav Shrinkhla in 2019 ◦ Attended by honourable Judicial Magistrate, B.D.O, B.E.O and received recognition through newspapers and news channels Senior Executive Member, Gopali Youth Welfare Society 1 Aug 2019 - 30 May 2020 ◦ Contributed to GYWS, a Government of India-registered NGO run by a team of students and professors of IIT Kharagpur. ◦ Raised funds to focused on educational development to over 250+ underprivileged children at Jagriti Vidya Mandir school. ◦ Supervised Teacher Training programs for JNV schools to improve innovative teaching skills to enhance classroom effectiveness Achievements ◦ Received the National Means Cum-Merit Scholarship (NMMSS) from the Govt of Bihar in recognition of merit-based examination ◦ Won Gold as part of the Hindi Elocution team of Patel Hall of Residence during the General Championship 2019 at IIT KGP ◦ Awarded the 'B' Certificate by the Ministry of Defence, Government of India as a cadet of National Cadet Corps (NCC) ◦ Secured 1st position in the Basketball Tournament at the Combined Annual Training Camp (CATC) 2018-19 at IIT KGP ◦ Achieved Pratham Sopan certification as a committed Scout in the Bharat Scouts and Guides (2012) [CANDIDATE] YadavDEEPAK [CANDIDATE] [EMAIL REDACTED] +91 98204 5372198204 53721
Redacted: name ×2, email ×1
5
Interview brief
Briefs are written when you shortlist a candidate.
6
Email draft
An offer or rejection draft is prepared once you make a decision. Nothing is ever sent without your approval.
Audit trail (3)
- 9/29/2026, 11:36:22 AMsystemanalysis completed{"PM_score":49,"SPM_score":32}
- 9/29/2026, 11:36:22 AMsystemrole assigned best fit{"role":"PM","PM_score":49,"SPM_score":32}
- 9/29/2026, 11:29:32 AMsystemcv ingested{"file":"20_deepak_yadav.pdf","role":"AUTO","redactions":{"name":2,"email":1},"name_detected":true}