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Sourish Sarkar

@sourishsarkar

Data scientist specializing in probabilistic modeling and ML for decision support.

India
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What I'm looking for

I seek roles applying ML and probabilistic modeling to operational decision-making, favoring collaborative teams, research-driven problems, and opportunities to deploy production analytics for measurable impact.

I am a data scientist with hands-on experience applying machine learning, probabilistic modeling, and simulation to real-world problems across aviation, manufacturing, and game design. I optimize predictive systems and build automated pipelines to translate data into operational decisions.

At Tata Consultancy Services, I reduced unscheduled engine failures by improving forecasting accuracy and establishing performance indices for diagnostics and benchmarking. I proposed cost-effective risk mitigation strategies and deployed models using Random Forests and regression techniques.

My research work focuses on algorithmic strategy and probabilistic decision-making for novel game variants, where I design exact decision algorithms, run large-scale simulations, and produce visualizations to compare strategic outcomes. I also develop combinatorial engines and adaptive AI strategies for card games.

I hold a Master of Science in QMS (Applied Statistics) and a B.Tech in Information Technology, and I combine strong statistical foundations with practical ML tool experience to drive measurable impact and build robust decision-support systems.

Experience

Work history, roles, and key accomplishments

IR
Current

Researcher — Combinatorial Games

Independent Research

Sep 2024 - Present (1 year)

Developed a combinatorial engine for Rummy to evaluate incomplete hands and replace dynamic programming with efficient enumeration, integrating adaptive strategies and probabilistic simulations for real-time AI decision-making. Built a flight pricing simulator using Random Forest to model dynamic offers.

IR

Researcher — Game Algorithms

Independent Research

Mar 2025 - Jun 2025 (3 months)

Designed and implemented a three-player Auction Bridge variant with probabilistic decision algorithms and simulations, producing strategy visualizations and iterative playtesting to balance gameplay and evaluate win-rate outcomes. Formulated exact decision-making algorithms for No-Trump bids with derived win-assurance probabilities under full uncertainty.

TS

Data Scientist

Dec 2021 - Aug 2024 (2 years 8 months)

Optimized predictive maintenance models for an aviation client, reducing unscheduled engine failures by improving forecasting accuracy and automating model deployment to support decision-making. Built performance indices and risk-mitigation strategies for manufacturing clients, enabling early diagnostics and cost-effective resource planning.

Education

Degrees, certifications, and relevant coursework

Indian Statistical Institute logoII

Indian Statistical Institute

Master of Science, Applied Statistics

2024 - 2026

Master of Science in Quantitative Methods and Statistics with specialization in Applied Statistics, emphasizing advanced statistical modeling and data analysis.

KC

Kalyani Government Engineering College

Bachelor of Technology, Information Technology

2017 - 2021

Bachelor of Technology in Information Technology covering programming, algorithms, and systems engineering coursework.

Tech stack

Software and tools used professionally

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Sourish Sarkar - Researcher — Combinatorial Games - Independent Research | Himalayas