Sourish Sarkar
@sourishsarkar
Data scientist specializing in probabilistic modeling and ML for decision support.
What I'm looking for
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
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.
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.
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
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.
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
Availability
Location
Authorized to work in
Website
sourish-isi.github.ioJob categories
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