I can take data → clean it → analyze it → build ML models → generate insights → communicate results clearly.
Hey! I'm Aadi Singh, a college student with a deep passion for Data Science, Machine Learning, and Artificial Intelligence.
I'm focused on building real-world projects that solve meaningful problems — not just theory. Every project I take on pushes me to think analytically, write cleaner code, and communicate data stories better.
I believe the key to mastering any skill is discipline and consistency. I show up every day, keep learning, and trust the process — whether it's debugging a model at midnight or diving into a messy dataset.
Built a machine learning classification pipeline to predict whether a driver is likely to churn. Involves data preprocessing, feature engineering, model training, and evaluation using F1-score and ROC-AUC.
Performed in-depth exploratory data analysis on a real-world dataset. Uncovered trends, patterns, and outliers through statistical summaries and visual storytelling.
Developed an end-to-end machine learning pipeline for a regression prediction problem. Covers data cleaning, feature selection, model training, hyperparameter tuning, and validation.
I'm always open to collaborating on interesting data Analyst projects or just having a good conversation about ML. Feel free to reach out!