I bring a strong blend of technical expertise and problem-solving skills across the data science and AI landscape. From collecting data through web scraping to wrangling and analyzing it using tools like NumPy, Pandas, Excel, and standard EDA routines, I engineer solutions that drive results. I develop and deploy robust machine learning models using Scikit-learn, TensorFlow, PyTorch, and other deep learning frameworks. My experience also includes building scalable backend systems with Flask, creating APIs, and automating workflows. On the frontend, I design clean, user-friendly interfaces using HTML and CSS, and integrate them into full-stack solutions. I'm also fluent in deploying production-ready applications using cloud tools like AWS and Docker. Beyond code, I value storytelling, leadership, and communication—skills that help me turn complex data into strategies people understand and trust.