Aditya Tiwari

I’m a B.Tech graduate in Data Science & AI with hands-on experience across the data value chain—data wrangling, SQL-based analysis, predictive modeling, and full-stack data application development.

I’m comfortable with structured and unstructured data, and I build ML models like CNN, LSTM, decision trees, and ensemble methods. I communicate results through clear visualizations and technical documentation so non-technical stakeholders can act on insights.

In my internship as a Data Science Intern, I cleaned and transformed raw datasets to improve input quality for downstream modeling, and I built/evaluated predictive models using logistic regression, decision trees, and ensemble methods. I also delivered model insights using Matplotlib/Seaborn charts for cross-functional collaboration.

My projects reflect what I enjoy most: end-to-end building. For my Final Year Project (CNN + LSTM), I built a real-time gesture-recognition pipeline reaching 93.6% accuracy and optimized inference to 98ms per gesture, and I documented the architecture for reproducibility. I also built a full-stack Social Media Application using Django, SQL, and REST APIs with Redis caching.