Passionate about turning numbers into solutions that make a meaningful impact. I love transforming complex data into actionable insights through machine learning and deep learning.
Get to know me better
I'm a Mathematics graduate from IIT Madras with a passion for data science and machine learning. My journey started from a small city in Bihar, driven by curiosity to solve real-world problems through mathematical rigor and programming.
During my academic journey, I've gained hands-on experience through internships at ERNET India and IIT Guwahati, where I developed automated analysis systems and fine-tuned deep learning models.
Besides academics, I love dancing and reading useful content related to my field. These hobbies keep me curious, creative, and balanced.
Showcase of my technical work
Built a Naive Bayes classifier to recognize 27 roman-script languages with high accuracy using feature reduction and hyperparameter tuning.
Preprocessed 1M+ song lyrics using NLTK and engineered a TF-IDF + cosine similarity model deployed via Streamlit with Spotify API integration.
Built a deep learning model with 4 dense layers to perform multi-label classification on 200K+ EHR embeddings, achieving 0.8183 Micro F2 score.
Built and optimized Seq2Seq models (RNN, LSTM, GRU) for Roman-to-Devanagari transliteration with attention mechanisms and beam search decoding.
My professional background
Get my complete resume with detailed information about my education, experience, and skills.
Download PDFWatch my introduction to learn more about my journey and passion for data science.
Thoughts and insights on data science and mathematics
Simple strategies to master mathematics with less stress and better results.
How epidemics, physics, and economics rely on mathematical models.
Make mathematical proofs easy and approachable with simple techniques.
Your guide to the must-know maths for ML and data science skills.
A practical guide to Bayes' theorem explained with easy-to-relate everyday scenarios.
Let's connect and collaborate