Viraj Gawade

Intro

I'm a Data Analyst and MSc Big Data Science graduate from Queen Mary University of London with a First Class degree in Computer Engineering. I specialise in turning complex datasets into clear, actionable insights using Python, SQL, and machine learning. My work spans healthcare, finance, and education. Most recently I built an NHS A&E attendance forecasting system using LSTM neural networks, achieving 85–90% accuracy and deploying it via an interactive Streamlit dashboard for non-technical stakeholders. I've also built a stock price prediction app with a live Flask API, and a published recommendation system (Springer, 2024). Technical skills: Python · SQL · Pandas · NumPy · Scikit-learn· TensorFlow · PyTorch PySpark · AWS · Google Cloud Streamlit Matplotlib I'm currently based in London and actively seeking Data Analyst, Junior Data Scientist, or ML Engineer roles. Open to on-site, hybrid, and remote opportunities.

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