🎓 Electronics & Communication | 💻 Aspiring Finance & Chip Systems Developer
🔍 Passionate about building real-world tools at the intersection of tech, finance, and data.
- 🛠️ Currently building: Portfolio Optimizer API using Flask + yFinance
- 📈 Interested in: Financial Engineering, Risk Modeling, Quant Research
- 🧠 Learning: Deep Finance with Python, Portfolio Theory, and Embedded Systems
- 🎯 Goal: Crack internships at Goldman Sachs, JP Morgan, and Maersk
- 🧰 Tools I use: Python, Flask, Pandas, NumPy, C, VHDL,Machine learning
| Project | Description | Tech |
|---|---|---|
| 📈 Portfolio Optimizer | Flask API for optimizing stock portfolios based on Sharpe Ratio | Flask, yFinance, NumPy |
| ⚡ Chip Simulation Tool | (In progress) Simulating logic gates and circuits | VHDL, Verilog |
| 📊 Data Visualizer | Visualize real-time financial data using Plotly | Python, Plotly, Dash |
- 🌐 [LinkedIn](https://linkedin.com/in/naksha b alvekar)
- 💡
“Build boldly, learn endlessly.”