Good to see you here
Nisarg Choudhary
Teaching machines to think - so I don't have to. ECE undergrad at IIIT Sri City, diving deep into data science and ML. I build models that occasionally predict things correctly.
When I'm not debugging why my neural network thinks cats are dogs, you'll find me exploring the beautiful chaos where mathematics meets intuition. I believe the best insights come from asking "what if?" at 2 AM.
About
The person behind the predictions
I'm currently in my 3rd year at IIIT Sri City, pursuing Electronics and Communication Engineering — though I spend most of my time convincing computers to find patterns in chaos.
Data Science and Machine Learning fascinate me because they sit at the intersection of mathematics, intuition, and "let's see what happens." I love the process of turning messy real-world data into insights that actually mean something.
Beyond the technical stuff, I'm someone who values clarity of thought and isn't afraid to ask the uncomfortable questions. I believe good data science is equal parts technical skill and knowing when to step back and ask "but does this actually make sense?"
What I work with
Things I've learned
- →I believe overfitting is just the model being too attached
- →My coffee consumption is positively correlated with code quality
- →Still waiting for my neural network to achieve sentience and do my assignments
Projects
Things I've built
A collection of projects where I've tried to make computers do interesting things. Success rates vary, but the learning is always 100%.
Shakespeare Text Generator
Taught a neural network to write like Shakespeare. It now speaks in iambic pentameter and judges my modern English.
Built a character-level language model using LSTM networks trained on Shakespeare's complete works. The model learns patterns in text structure and generates new passages that mimic the Bard's distinctive style.
IMDB Sentiment Classifier
Figured out whether movie reviews are positive or negative. Spoiler: people have strong opinions about films.
Developed an NLP model to classify IMDB movie reviews as positive or negative. Used text preprocessing, word embeddings, and deep learning to achieve high accuracy on sentiment prediction.
Telecom Churn Prediction
Predicting which customers will leave before they even know it themselves. Slightly creepy, mostly useful.
Built a machine learning pipeline to predict customer churn for telecom companies. Performed extensive EDA, feature engineering, and model comparison to identify at-risk customers and key churn drivers.
Retail Demand Forecasting
Helping stores know what to stock before customers know what they want. Time series magic at its finest.
Created a demand forecasting system for retail inventory management. Applied time series analysis and machine learning models to predict future product demand and optimize stock levels.
Contact
Let's talk
Whether you want to discuss a project, have a question about ML, or just want to debate whether tabs or spaces make better indentation — I'm always happy to chat.
Currently open to: internships, collaborations, interesting conversations, and recommendations for good datasets.
Built with curiosity and too much coffee by Nisarg Choudhary
© 2026— If you're reading this, you've scrolled far. I appreciate that.