🎓 About Me
I'm Computer Science Graduate from the University of California, Santa Cruz, passionate about the intersection of finance, data, and computation. My work bridges quantitative research, financial modeling/analysis, and algorithmic trading with a strong foundation in software engineering and applied mathematics.

I’m currently preparing for a Master’s in Financial Engineering and looking for roles in SWE & Finance, focusing on predictive analytics, stochastic modeling, and algorithmic systems.

💼 Experience & Projects

📊 Quantitative Research & Trading Systems

• Built a Trading Strategy Simulator using Python to backtest MACD, RSI, and Bollinger Band strategies across 1,000+ tickers.
• Enhanced signal accuracy by 20% through parameter optimization and risk-adjusted performance metrics.
• Designed visualization dashboards with Streamlit and Matplotlib for real-time analysis.
  → GitHub Repo

💻 Software Engineer Intern @ Akhetonics (Berlin, Germany)

• Implemented Graph Coloring for compiler register allocation using C#/.NET, optimizing allocation by 60% for 100K+ registers.
• Applied algorithmic optimization principles that parallel portfolio allocation and resource optimization in quantitative finance.

📈 Financial Analytics & Risk Modeling

• Implemented the Black–Scholes Option Pricing Model in Python to value European calls and puts.
• Extended the model with Greeks (Δ, Γ, ν, θ, ρ) to analyze risk sensitivities and applied delta-hedging strategies to simulated portfolios.
• Benchmarked analytical vs. numerical methods (Binomial Trees, Monte Carlo) for pricing validation.

🔬 Quantitative Research – UC Santa Cruz ATMOS Lab

• Developed optimization models in MATLAB and Python for distributed systems and atmospheric data analysis.
• Used stochastic methods and data-driven modeling—skills that translate directly to financial modeling and risk analytics.

📚 Currently Exploring

• Machine Learning for Finance: Ensemble methods, predictive analytics, and deep learning for trading signals.
• Portfolio Optimization & Derivatives Modeling: Applying risk management concepts in Python.
• FinTech Development: Combining React.js + FastAPI for finance-focused web tools.

📫 Let’s Connect!
📧 Email: ajagtap@ucsc.edu or anshulsmitajagtap@gmail.com
🔗 LinkedIn | GitHub | Portfolio

⚡ Fun Fact
When I'm not backtesting or debugging, you’ll find me golfing, watching Formula 1, or diving deep into stock market microstructures and trading psychology.