I am a mathematician with a passion for game analytics, blending rigorous statistical modelling with real-world game mechanics. My work sits at the intersection of probability theory, data science, and player experience design.
With expertise in Monte Carlo simulations, RTP analysis, volatility modelling, and KPI frameworks, I design and evaluate the mathematical engines that power fair, engaging, and profitable games.
From M.Sc. graduate at MNNIT Allahabad (IIT JAM AIR 932) to practicing educator and game math analyst — I bring both academic depth and applied sharpness to every challenge.
Applied analytical problem-solving under real-time constraints, resolving complex queries through structured, data-driven explanations. Developed systematic frameworks for mathematical reasoning — skills directly transferable to game math design and validation.
Communicated complex mathematical concepts with precision and clarity. Guided systematic, data-driven problem-solving frameworks — building the analytical discipline essential to evaluating game performance and modelling probabilistic outcomes.
Deep-dive mathematical analysis of slot game performance — studying RTP, player behavior patterns, payout distributions, variance, and long-term performance trends through advanced statistical modelling.
Engineered an ML pipeline on a highly imbalanced dataset, applying EDA, univariate & bivariate analysis, and multiple classification algorithms to identify optimal detection parameters.