Nischal Varma

I've built financial analytics and machine learning projects using Python, SQL, TensorFlow, Keras, and Plotly, including an end-to-end Financial Risk Intelligence Platform with ETL, forecasting, and dashboards.

During my Data Analytics internship at Slash Mark, I collected, cleaned, and prepared datasets for analytics projects while building Python-based automation and data analysis workflows.

My quantum-inspired deep learning project for Apple stock prediction used RSI, MACD, and moving averages for feature engineering. I also published research on quantum-inspired deep learning for financial time-series modeling.

I've analyzed and visualized Tesla and GameStop financial data using yfinance, BeautifulSoup, Pandas, and Plotly, with a focus on predictive modeling, financial forecasting, and data visualization.