Dashboard / Candidate
Karan Das
Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 23_karan_das.pdf
Private: squad_5@pg27.mesaschool.co · no phone found
Applied-role score
39/100#20 of 34 PM applicants
PM score
39/100SPM score
35/100Current status
AnalysedBelow shortlist (AI suggestion)
Your decision
1
Why they fit
- Problem -> Change -> Result 25%
The candidate demonstrates multiple clear examples where their direct technical and workflow improvements produced measurable reductions in time and latency. They specifically link their own automation work to clear, visible operational results.
2
Where they fall short
- Evidence-Led Decisions −16 pts
The CV mentions supporting prioritization via scoring models, but does not provide an example of a decision being changed, stopped, or chosen based on evidence, nor does it articulate the reasoning and subsequent outcome.
- Carries Ambiguous Problems Through to Closure −16 pts
Managing meetings to resolve open deliverables and coordinating multiple event vendors shows cross-functional interaction, but there is no evidence of taking an ambiguous, messy issue or escalation through to closure with follow-up.
- Builds Repeatable Ways of Working −12 pts
The candidate created automated validation systems and an uptime tracking framework used across hundreds of apps and global clients. However, there is limited evidence that these developed into repeatable operating practices or templates adopted and reused by other team members.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Independent Decision Ownership | 30% | 1/5 | 6.0/30 | The CV shows operational execution, vendor negotiation, and analytics delivery, but lacks evidence of consequential product or business decisions made independently under uncertainty. No specific trade-offs or decision outcomes without senior oversight are documented. |
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| Problem -> Change -> Business/Operational Result | 20% | 4/5 | 16.0/20 | The candidate provides clear, repeated examples of resolving operational bottlenecks via automation and data engineering, linking their actions directly to quantified cycle time, latency, and performance improvements. |
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| Evidence-Led Prioritisation and Reversal | 20% | 1/5 | 4.0/20 | The CV mentions scoring models to support pipeline prioritization, but contains no evidence of using data to stop an initiative or reverse a strategic direction based on new evidence. |
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| Creates Systems Others Run | 15% | 2/5 | 6.0/15 | The candidate has built automated monitoring systems, tracking frameworks, and conducted onboarding training. However, there is weak evidence of a team-wide operating system, framework, or standard being adopted and maintained by others beyond technical scripts. |
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| Multi-Party Resolution Under Pressure | 15% | 1/5 | 3.0/15 | The CV shows multi-vendor coordination and running senior stakeholder meetings to burn down open deliverables. However, there is no evidence of managing escalations, post-mortems, or resolving critical incidents and failures under pressure. |
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| Total | 100% | 35 | The candidate demonstrates strong technical, automation, and data analytics competencies with clear, quantified operational efficiencies across multiple projects. However, the CV lacks senior product management evidence around independent decision ownership under uncertainty, evidence-led reversals, and managing critical multi-party incidents under pressure. | ||
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)
- “Designed and automated an AI-driven lead pipeline integrating Apollo.io and Zoho CRM with Python scrapers; reduced lead enrichment time from 34 hours to 20 minutes” · Problem -> Change -> Result
- “Lowered web app reload time by 25% via compression algorithms, improving UX and bounce rates” · Problem -> Change -> Result
- “Built an interactive Qlik Sense dashboard for the senior leadership of a major Indian NBFC, reducing reporting turnaround time by 85% through systematized daily data refreshes” · Problem -> Change -> Result
- “co-built LP scoring models supporting investment pipeline prioritization” · Evidence-Led Decisions
- “Built a Qlik Sense monitoring ecosystem for 500 apps integrating 25 data sources; automated QA validation, eliminating manual intervention” · Builds Repeatable Ways of Working
- “Administered AWS-based analytics servers; implemented an uptime tracking framework, improving stability for global clients” · Builds Repeatable Ways of Working
- “Oversaw weekly meetings with Directors/VPs, cutting open deliverables from 30 to under 5; trained 2 junior analysts, reducing ramp-up time by 50%” · Carries Ambiguous Problems Through to Closure
- “Directed event design and delegate experience for premium formats including a Dubai yacht networking event; coordinated 10 vendors and negotiated ₹5L vendor savings and ₹50K per-person travel savings” · Carries Ambiguous Problems Through to Closure
- “carried out rural inclusion surveys” · Gets to the Source Before Designing the Fix
Outcomes stated in the CV
- Negotiated ₹5L vendor savings and ₹50K per-person travel savings at The Venio
- Reduced lead enrichment time from 34 hours to 20 minutes via AI-driven automation
- Cut reporting turnaround time by 85% for an NBFC client at BRIDGEi2i Analytics Solutions
- Cut data latency by 60% while maintaining 100% QA-verified accuracy at BRIDGEi2i Analytics Solutions
- Reduced web app reload time by 25% via compression algorithms at Accenture
- Reduced weekly open deliverables from 30 to under 5 and junior analyst ramp-up time by 50% at Accenture
- Achieved 90% accuracy in automated LP dataset enrichment at AWE Funds
Anonymised CV (exactly what the AI saw)
Marketing & Product Strategist | AI-Driven Growth & Automation | Founding Team – The Venio [PROFILE URL REDACTED] / EXPERIENCE Delegate Maestro & Al Strategist (Founding Team) The Venio 08/2025 - 10/2025 Bengaluru Directed event design and delegate experience for premium formats including a Dubai yacht networking event; coordinated 10 vendors and negotiated ₹5L vendor savings and ₹50K per-person travel savings Designed and automated an AI-driven lead pipeline integrating Apollo.io and Zoho CRM with Python scrapers; reduced lead enrichment time from 34 hours to 20 minutes Built invite lists of 5001,000 HNIs/UHNIs for Dubai Ascent and Off- Menu; executed personalized outreach to 200 prospects, converting 5 high-value delegates for a 25-member cohort Defined success KPIs for delegate satisfaction, sponsor deliverables, and P&L alignment with The Venio's IP-led luxury event strategy Consolidated multi-event data across verticals F&B, hospitality, family offices) through automation scripts, building the foundation for AI- based lead scoring Al Engineering Senior Analyst Accenture 07/2020 - 12/2022 Bengaluru Developed forecasting models for inventory optimization across NBFC, Retail, and Construction clients Built a Qlik Sense monitoring ecosystem for 500 apps integrating 25 data sources; automated QA validation, eliminating manual intervention Lowered web app reload time by 25% via compression algorithms, improving UX and bounce rates Administered AWS-based analytics servers; implemented an uptime tracking framework, improving stability for global clients Oversaw weekly meetings with Directors/VPs, cutting open deliverables from 30 to under 5; trained 2 junior analysts, reducing ramp-up time by 50% Received 'STAR Award' for practice-building and cross-team innovation, and promoted from Analyst to Senior Analyst INTERNSHIPS Business Analytics Intern AWE Funds 06/2024 - 12/2024 Gurgaon Designed dashboards for 150 LPs segmented by geography and engagement probability, improving investor targeting precision Automated enrichment of LP datasets using APIs and outreach tools, achieving 90% accuracy and saving significant manual time Conducted market research and impact-investment thesis development across more than 10 sectors; co-built LP scoring models supporting investment pipeline prioritization Business Analytics Intern BRIDGEi2i Analytics Solutions 12/2019 - 07/2020 Bengaluru Built an interactive Qlik Sense dashboard for the senior leadership of a major Indian NBFC, reducing reporting turnaround time by 85% through systematized daily data refreshes Developed a Python React.js web app for a global electronics client's marketing division, improving campaign visibility and analytics access for over 200 internal users Optimized backend and pipeline performance, cutting data latency by 60% and ensuring 100% QA-verified accuracy across all data layers SUMMARY Marketing and product management professional with 2.5 years of experience driving business impact through automation, analytics, and strategic execution. At Accenture, built forecasting systems and automated workflows that improved operational efficiency across enterprise clients. At The Venio, designed AI- driven marketing processes and event automation frameworks that streamlined acquisition and performance. Combines analytical depth with startup agility, well-suited for growth, product, and strategy-driven roles. CERTIFICATIONS Google Ads Search Google Ads Display Google Analytics LinkedIn Marketing Solutions Fundamentals HubSpot Inbound Marketing SEMrush SEO Crash Course SKILLS Marketing & Growth Apollo.io, HubSpot, Mailchimp, ClickFunnels, Google Ads, LinkedIn Ads, Google Analytics, SEO/SEM, SEMrush, Ahrefs, Screaming Frog, GTM, Growth Campaigns, A/B Testing, STP, Funnel Optimization, CACLTV Modeling Product & Analytics Python, R, SQL, MS Excel, Google BigQuery, MS Power BI, Qlik Sense, KNIME, Selenium, API Automation, React.js, Node.js, Figma, Agile/Scrum, PRD Writing, Sprint Planning, Roadmapping, Server Administration, QA Statistical & Analytical Methods Data Viz., EDA, Forecasting, Regression, ANOVA, Time Series Analysis, ARIMA, Markov Analysis, Data Modeling, Hypothesis Testing, Inferential Statistics, Web Scraping Collaboration Jira, Confluence, Trello, Zoho Suite, MS Teams, Slack, Stakeholder Management, Strategic Ops, Process Optimization, 01 Thinking • • • • • • • • • • • • • • • • • [CANDIDATE] DASKaran [CANDIDATE] [EMAIL REDACTED]+91 98671 4390298671 43902 [CANDIDATE]-[CANDIDATE]-product EDUCATION PGDM (Innovation, Entrepreneurship & Venture Creation) XLRI Jamshedpur 2023 - 2025 B. Tech (Electrical & Electronics Engineering) Manipal Institute of Technology 2016 - 2020 ACADEMIC PROJECTS XLRI Jamshedpur • LifeStride Brand Management) Established GTM & omnichannel strategy for a new orthopaedic supplement; achieved 68% market penetration • Pepperfry Strategic Marketing) Executed decision-framework analysis; implemented a marketing plan that decreased OpEx by 50%, driving profitability • GoPro Consumer Behavior) Increased engagement by 30% and UGC conversions by 3 through behavioral segmentation and targeted strategies • GoGoGrandparent Digital Marketing) Built Google Ads SEO retargeting funnel; lifted conversions by 10% and reduced CPC by 18% via optimized copy and A/B tests • ShippyGo Product Management) Defined product roadmap for a logistics SaaS platform, prioritized features using Agile, and managed Jira sprints; created user stories and Figma wireframes, enhancing design and increasing sprint velocity by 20% • Fusion Flavors Product-Market Fit) Established a blended tea product with 67% gross margins; validated on growth, repeatability, profitability DISSERTATION MIT Manipal A relationship between global population and energy usage Authored a research paper analyzing the relationship between global population and energy consumption; projected global energy demand until 2050 using a polynomial regression model ADDITIONAL POSITIONS OF RESPONSIBILITY • Senior Executive, DARVIX XLRI Co-led national analytics contest ₹2L prize, 1000 participants); directed Power BI workshop for 500 attendees; created Excel-based gamified strategy modules • Co-Founder, MotoManipal MIT Co-built India’s first student-led electric super bike; raised ₹8L sponsorships, managed ₹12L in purchases; won 6 national awards for innovation and design • Executive Member, ESoM MIT Led digital content; scaled engagement 10x; organized Enterpriser summit 500 attendees) EXTRA-CURRICULAR & VOLUNTEER EXPERIENCE • Shristi Prabhat NGO Provided free math coaching to 50 underprivileged students; carried out rural inclusion surveys • Music Performed in Limca Book of Records’ largest Guitar ensemble 5406 guitarists) ACADEMIC ACHIEVEMENTS Selected for Unilever Change Makers Foundation School (2023) Scored 98.97 percentile (XAT), 98.54 percentile (CAT – VARC), AIR 763 (CMAT) Achieved International Rank 101 in National Science Olympiad (SOF) Secured 99.72 percentile in Language Conventions (National Problem-Solving Assessment) LANGUAGES English Hindi Assamese INTERESTS Chess Football Writing Guitar Travelling•
Redacted: name ×4, email ×1, profile url ×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 (4)
- 9/29/2026, 11:36:40 AMsystemanalysis completed{"PM_score":39,"SPM_score":35}
- 9/29/2026, 11:36:40 AMsystemrole assigned best fit{"role":"PM","PM_score":39,"SPM_score":35}
- 9/29/2026, 11:29:54 AMfounderfile replaced{"file":"23_karan_das.pdf"}
- 9/29/2026, 11:29:33 AMsystemupload failed{"error":"Unexpected error: createCandidate: unsupported Unicode escape sequence"}