About Me
I didn’t enter this field with a plan — I entered it with questions. Studying Mathematics at Ramanujan College, DU, and now pursuing my M.Sc. in Mathematics with Computer Science from Jamia Millia Islamia, I’ve learned to respect the structure of theory — but I’ve also learned to challenge it. While others stopped at solving equations, I started turning data into stories, models into tools, and curiosity into code. For the past 2+ years, I’ve been building machine learning and deep learning projects — not because someone asked me to, but because I couldn’t not do it. From personality prediction models to deep learning image classifiers, every project taught me something books couldn’t: how messy real-world data is, how algorithms fail before they work, and how insight often lives where you least expect it. I’m not here to just “do data science.” I’m here to learn like it matters, build like it solves something, and grow with people who care about both the why and the how. If you're working on something honest, hard, or a little bit chaotic — I’d like to be involved.
I have experience with Python, Java, C, SQL, HTML, and a wide array of libraries and tools including Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, XGBoost, TensorFlow, and Keras. My projects demonstrate a strong ability in data preprocessing, feature engineering, and delivering high-fidelity predictive models.
