Aditya Raj

I am a data scientist and machine learning engineer with hands-on experience building predictive models, NLP systems, and interactive dashboards. I combine statistical rigor with practical engineering to deliver deployable solutions.

My projects include a Falcon 9 landing success predictor (85% accuracy) and a document QA system using RAG and fine-tuned transformers that achieved 93% accuracy. I routinely perform EDA, feature engineering, and model optimization to improve performance.

I build production-oriented tooling and visualizations — from Plotly Dash and Folium dashboards to Power BI reports — and automate workflows such as API testing with Postman and Newman for CI/CD integration. I emphasize reproducibility, performance tuning, and clear communication of results.

I contribute in team settings and have held leadership roles in student organizations and event coordination. I am motivated to join teams that value data-driven decision making, collaborative problem solving, and opportunities to scale ML solutions.