adith N K

I’m a Data Analyst with hands-on ML and Python expertise, focused on turning messy data into decision-ready insights. Through my Data Science & Machine Learning internship, I built end-to-end data pipelines for 3 projects, collecting, cleaning, and merging 50,000+ real-world records with fully documented steps for reproducibility.

I’ve delivered predictive models using Linear Regression and scikit-learn, reaching 87%+ accuracy, and I share results through interactive Jupyter widgets that let stakeholders simulate scenarios in real time. I align my work to UN Sustainable Development Goals (SDG10), including an income inequality analysis where I found a 0.89 correlation and achieved R²=0.82 with RMSE=2.1.

I also build product-grade systems: I’ve designed security-first database schemas with Row-Level Security, implemented auth and owner-only write rules, and shipped full-stack apps. On an adaptive learning platform, I integrated a Bayesian Knowledge Tracing engine with an LLM inference layer (91% mastery prediction accuracy) and deployed for 500+ concurrent users, improving engagement by 45%+.