I'm a recent graduate with a strong interest in financial markets, data engineering, and machine learning.

Markets and investing fascinated me years before I even began programming. As I learned Python, I realized it could help me better understand markets, analyze financial data, and build tools around the ideas I was already passionate about. For over 5 years I have closely monitored the markets (macro, financial regulation etc) and have actively invested within them. I've been actively following and participating in the financial markets for over five years, with a keen interest in macroeconomics, regulations, and their influence on market behavior.

• Data Engineering
• Machine Learning
• Financial Markets
• Data Analytics

Languages: Python, Bash

Databases: MySQL, PostgreSQL, MongoDB, Spark SQL

Libraries: PySpark,NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn, XGBoost, Plotly, yfinance, Polars

Tools: Git, Linux, Power BI, Excel

• Fraud Detection using Machine Learning & Ensemble Models
• Financial Analytics Research (USA, Germany & India)
• E-Commerce Analytics

I'm always looking for opportunities to learn, build meaningful projects, and deepen my understanding of both data and financial markets.