Anwesh Sarkar

AI Researcher

Kolkata, West Bengal, India5 yrs 6 mos experience

Key Highlights

Expert in developing machine learning models for customer acquisition.
Proven track record of optimizing fintech product strategies.
Strong analytical skills with a focus on data-driven decision making.

Stackforce AI infers this person is a Fintech Data Scientist with expertise in machine learning and customer acquisition strategies.

Contact

Skills

Core Skills

Machine LearningData Science

Other Skills

ANCOVAANOVAAnacondaAnalytical SkillsApache SparkApplied Machine LearningAutoCADAutomated ReportingBig Data AnalyticsCampaign OptimizationCredit CardsCross-Functional CollaborationCustomer AcquisitionCustomer Acquisition StrategiesData Integration

About

Aspiring Data scientist with interests in Statistical Analysis and Machine Learning - Artificial Inteligence.

Experience

5 yrs 6 mos

Total Experience

1 yr 8 mos

Average Tenure

6 mos

Current Experience

Blend

Senior Data Scientist

Oct 2025 – Present · 6 mos · Hyderabad, Telangana, India · Hybrid

Tata digital

2 roles

Data Scientist 2

Promoted

Nov 2023 – Aug 2025 · 1 yr 9 mos · Gurugram, Haryana, India

Developed propensity models for Tata Neu Credit Cards (v2) & Tata Pay Later (BNPL) to enhance customer acquisition efficiency.
Built an eligibility model for Tata Neu Credit Cards, driving a 1.5x uplift in IPA approval rates.
Designed credit card campaign response models, achieving a 1.4x uplift in card issuance via outbound channels.
Developed a heuristic-driven campaign optimizer engine, capturing 76.6% recall in the top 5 recommended products across 15 different offerings.
Increased application traffic by 50%, improved inorganic customer segmentation by 25%, and optimized delivery rates by 20%, all while maintaining a lower CAC.
Collaborated in cross-functional modular feature pipeline development, generating 13K+ features in PySpark, integrating data across multiple brands and raw data tables.
Built and deployed automated inference and model retraining pipelines.

Propensity ModelsCustomer AcquisitionModel DeploymentCross-Functional CollaborationData IntegrationCampaign Optimization+2

Associate Data Scientist

Aug 2022 – Oct 2023 · 1 yr 2 mos · Gurugram, Haryana, India

🔹 Optimized Customer Acquisition with Predictive Modeling
Developed propensity models for Credit Cards & Bill Payments, leading to a 40% reduction in CAC and a 35% improvement in customer acquisition efficiency.
Leveraged machine learning and data-driven insights to enhance targeting precision and maximize ROI.
🔹 Scaling Fintech Products & Driving Data-Backed Growth
Scaled of Bill Payments, Insurance, Credit Card products, designing customer acquisition strategies powered by data-driven decisioning, automated reporting, and data-driven targeting, ensuring sustained growth and performance optimization.

Predictive ModelingCustomer Acquisition StrategiesData-Driven InsightsAutomated ReportingMachine LearningData Science