vedant sawant

I’m an aspiring data scientist focused on solving real-world business problems with data-driven solutions. I build predictive models, run exploratory data analysis, and translate results into actionable insights for decision-makers.

In my Data Science & Analytics internship, I improved data validation efficiency by 40% by creating a Python preprocessing pipeline that cleaned and standardized 10,000+ financial records. I also reduced report preparation time by 30% through optimized SQL queries, and I delivered stakeholder-ready findings by surfacing anomalies and patterns that improved reporting accuracy.

I further strengthened my craft through projects—building an approximately 78% accurate Heart Disease Prediction system with Scikit-learn and a Flask web app, and creating an NLP sign language communication platform using NLTK for tokenisation and intent detection. I enjoy combining strong analytics with practical deployment so outputs become usable tools, not just experiments.