NEHA SHA

I am a B.Tech Computer Science student with hands-on experience in machine learning, deep learning, and web development, focused on applying data-driven solutions to real-world problems. I have built forecasting models and CNN systems that demonstrate strong accuracy and interpretability.

My recent work includes forecasting horticultural production and exports using ARIMA and ETS models, where ETS improved accuracy by 40% over baselines. I also developed a CNN-based face anti-spoofing system achieving 99% accuracy and employed LIME for explainability.

I bring practical project experience with a responsive React.js food delivery app, familiarity with core CS subjects, and exposure to competitive ML training through Amazon ML Summer School. I aim to contribute to teams that value rigorous modeling, reproducible code, and impactful applications.