Data science and machine learning

Anuj Kulkarni

Turning messy data into something insightful

I build focused ML systems, analysis tools, and experiments that move from notebook to deployment while maintaining clarity.

GitHub LinkedIn Resume
Technical Blog Featured

Brewing the Perfect Model with Chai

Grid Search CV explained through the art of making chai. A small, practical walkthrough of hyperparameter tuning with code examples.

Jul 21, 2025 5 min read
Read on Medium

Stack

The tools I actually reach for

Languages

Core implementation stack.

Python HTML/CSS

ML & Data

Modeling, data processing, and databases.

Scikit-Learn Pandas NumPy MySQL

Visualization

Dashboards, charts, and notebooks.

Matplotlib Plotly Seaborn Jupyter Power BI

Tools

Development environment and workflow.

Git GitHub VS Code

Projects

Selected work

Repo Analysis

Dashboard

Analysis of GitHub repository data to identify trends and patterns.

Power BI GitHub REST API DAX
Live Dashboard GitHub Repo

E-shop Dashboard

ETL, Data Analysis

Power BI dashboard for visualizing e-shop data and performance metrics.

Power BI DAX
Live Demo GitHub Repo

Intel Sensors

ML

Room Occupancy Prediction using Random Forest (Supervised) + K-Means (Unsupervised) on real Intel sensor data.

Python Scikit-Learn Random Forest
Live Demo GitHub Repo

Spotify

Clustering

Music Clustering on a large Spotify dataset (1.2M+ tracks) using unsupervised learning techniques.

Python Clustering Large-Scale Data
GitHub Repo