Shibasis Dutta

Associate Consultant

Hyderabad, Telangana, India5 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in data-driven product strategies.
  • Proven track record in customer retention initiatives.
  • Strong analytical skills with predictive modeling expertise.
Stackforce AI infers this person is a Fintech and Gaming product analyst with strong data-driven decision-making skills.

Contact

Skills

Core Skills

Product StrategyData AnalysisProduct AnalysisCustomer RetentionPredictive ModelingPredictive AnalyticsPre- Trade AnalysisCounterparty RiskProduct ManagementBusiness Strategy

Other Skills

A/B TestingE-CommerceProblem SolvingDashboardsModelingChurnPL/SQLPython (Programming Language)SQLDerivativesVisual Basic for Applications (VBA)Open Database Connectivity (ODBC)Stakeholder ManagementTableauMicrosoft Excel

About

I’m driven by creating real impact,not just shipping features or running analyses, but solving problems that make a difference to users and businesses. With 2+ years of experience across Razorpay, Head Digital Works, and MediBuddy, I’ve worked on retention strategies, product experiments, and data-driven growth initiatives that moved the needle. My strength lies in connecting the dots between data, product, and user behavior to build solutions that matter. I thrive in fast-paced, high-ownership environments where curiosity, clarity, and impact drive the roadmap. Whether it’s optimizing a journey, shaping strategy through insights, or building from scratch,I care about outcomes, not just output.

Experience

5 yrs 4 mos
Total Experience
10 mos
Average Tenure
--
Current Experience

Appsforbharat

Senior Analyst

Oct 2025Apr 2026 · 6 mos · Bengaluru · On-site

Product AnalysisProduct StrategyData AnalysisA/B TestingE-CommerceProblem Solving+2

Razorpay

Product Analyst

Oct 2024Aug 2025 · 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Led POS product initiatives with Growth & Marketing teams, optimizing the onboarding funnel and automating lead tracking through real-time dashboards.
  • Built an early churn & dormancy prediction model to identify inactive users and improve re-engagement strategies.
  • Enabled proactive retention efforts, helping reduce churn and improve user retention by ~7% through targeted PR calls and data-driven interventions.
ModelingDashboardsPredictive ModelingProduct AnalysisChurnCustomer Retention

Head digital works

Associate Data Scientist

Jul 2023Sep 2024 · 1 yr 2 mos · Hyderabad, Telangana, India · On-site

  • Contributing to the growth of poker by spearheading new initiatives ,developing innovative features ,strategy for A23 Poker.
PL/SQLPython (Programming Language)Predictive AnalyticsProduct AnalysisProblem Solving

Credit suisse

Quantitative Analyst

Jan 2023Jun 2023 · 5 mos · Mumbai, Maharashtra, India · Hybrid

  • Working under Pre-Trade Analysis team to predict Potential (PE) and Expected Credit Counterparty exposure.
  • Using inbuilt statistical risk models and tools used for calculating PE, EE & Volatility for real-time trades
  • Results,Reports and calculations are sent to the Front Office for reviewing and executing these trades
Python (Programming Language)SQLPre- Trade AnalysisCounterparty RiskDerivativesVisual Basic for Applications (VBA)+1

Medibuddy

Product Intern

Jul 2022Dec 2022 · 5 mos · Bengaluru, Karnataka, India

Product ManagementSQLProblem SolvingBusiness StrategyStakeholder ManagementProduct Strategy+1

Enactus bits hyderabad

2 roles

Logistics Head

Jul 2020Jul 2021 · 1 yr

Core member

Jul 2019Jul 2020 · 1 yr

Kansai nerolac paints ltd

Summer Intern

May 2020Jul 2020 · 2 mos

Placement unit, bits pilani

Core member

Jan 2020May 2020 · 4 mos · Hyderabad, Telangana, India

  • Winter Pitching Team 2019-2020.

Education

BITS Pilani, Hyderabad Campus

Minor — Finance

Aug 2020Sep 2022

BITS Pilani, Hyderabad Campus

Bachelor of Engineering - BE — Mechanical Engineering

Jan 2018Jul 2022

Maharshi Patanjali Vidya Mandir

PCM

Jan 2016Jan 2018

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