Iβm a 4th year Honours Bachelor of Science student at the University of Toronto, studying Computer Science, Statistics, and Economics. Iβm interested in machine learning, full stack and systems development, and building real products at scale.
I enjoy working on projects that combine software engineering, data, and applied ML.
Languages Python, JavaScript, Java, C, C++, Lua, SQL (PostgreSQL), NoSQL, R, Stata, HTML, CSS, TypeScript
Frameworks & Libraries React, Next.js, Node.js, React Native, Expo, Flask, FastAPI, Django, Tailwind CSS
Machine Learning & Data scikit-learn, XGBoost, LSTM, Transformers (HuggingFace), pandas, NumPy, PyTorch, TensorFlow Alpha factor modeling, signal decay analysis, feature engineering, quantitative research
Cloud & DevOps AWS, GCP, Azure, Docker, GitHub Actions (CI/CD), Vercel, Supabase, OVH Cloud
Tools & Platforms Git, Linux, Jupyter, Plotly, yfinance, LangChain, OAuth2
QuantSight
ML driven financial analysis platform for stock insights and signals
Tech: TypeScript, ML models, data pipelines
More projects are displayed on my website!
Honours Bachelor of Science
Computer Science, Statistics, Economics
University of Toronto
Email: arnav.nagzirkar@gmail.com
Website: https://www.arnavnagzirkar.com
LinkedIn: https://www.linkedin.com/in/arnav-nagzirkar/
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