I transform complex data into actionable insights and build intelligent systems that solve real-world problems. With a master's in Data Science and hands-on experience across edtech, telecom, and AI startups, I combine technical depth with business intuition to create impact.
My passion lies at the intersection of data and finance — using analytics to decode trends, optimize performance, and support smarter financial decisions. Whether I'm developing GenAI-powered recommendation engines, engineering scalable data pipelines, or diving into financial models, I thrive on turning raw data into real-world value.
Building advanced ML models with LSTM, NLP, and time series analysis for predictive insights.
Designing scalable data architectures and cloud solutions for enterprise-grade applications.
Transforming complex data into actionable business intelligence and compelling visualizations.
Implementing robust CI/CD pipelines and development workflows for efficient project delivery.
Applied machine learning to predict SPY trade outcomes using 20 years of financial data with CatBoost and LSTM models.
Published in Springer's Advances in Science, Technology & Innovation, an IoT system for real-time equipment fault detection.