Dharmik Champaneri

• M.Sc. Data Science at the University of Europe for Applied Sciences (Potsdam Berlin Campus), with a prior B.E. in Computer Engineering from the University of Mumbai. • Capstone: PitWall Intelligence — a machine-learning system that builds an interpretable composite Brand Value Index for Formula 1 constructors, trained on a decade of Jolpica-F1 race data (V6 hybrid era, 2014–2025, 112 team-seasons). Stack: Python, scikit-learn, gradient boosting, SHAP, Streamlit, SQLite. Supervised by Dr. Humera Noor Minhas. Repo: github.com/DevDharmik/Pitwall-intelligence • Co-authored peer-reviewed undergraduate research on YouTube comment sentiment analysis (Linear SVM + TF-IDF, 91% precision/recall/F1). • Completed the McKinsey Forward Program (2025) and consulting simulations with BCG X, Accenture, and Tata Group covering business analytics, data visualisation, and data science. • Based in Berlin (Steglitz-Zehlendorf), working part-time alongside studies. Actively targeting Werkstudent and internship roles in data analytics, BI, and consulting — McKinsey, Roland Berger, and Berlin-based data teams in particular.

Practical experience through industry simulations: completed business analytics, data visualization and data science simulations with Accenture (Forage), Tata Consultancy Services, and BCG X in 2025. linkedin

Communicates technical ideas to broader audiences; authored a 2025 presentation 'The Future of Hiring' about AI in recruitment covering technologies, benefits, risks, and future trends. prezi

Active in community sports, appearing on local cricket leaderboards and maintaining social profiles documenting activities. cricheroes+1