Asad Zaheer

I’m a Data Scientist & Market Analyst who blends ML and quantitative thinking to turn messy data into actionable decisions. I enjoy building practical systems—whether that’s improving product experiences or strengthening trading signal quality.

At MdNect, I’ve worked on Product & Data Strategy, including building an AI-powered tool to extract structured data from medical report images. I also developed a scholarship search engine to help users find relevant opportunities, and contributed to a doctor-to-doctor messaging application.

As an Independent Crypto Trader & Market Analyst, I trade actively on Binance across spot and futures markets, using technical analysis and sentiment analysis to identify market signals. I’ve developed and tested ML models for price prediction and market pattern analysis, while continuously monitoring liquidity, risk parameters, and performance across positions.

Previously at Afiniti, I handled SQL-based extraction and analysis of large datasets to detect system anomalies, then automated operational processes to improve efficiency and reliability. In my research, my MS thesis—Multi-Scale Feature Aggregation with Cross-Scale Attention for fine-grained insect pest classification—reached 78.47% accuracy, within 0.30% of the global state-of-the-art, using 21% fewer parameters than the leading transformer model.