Hi there 👋 I'm Harsh, a passionate and driven engineer specializing in Data Science. I thrive on transforming complex data into actionable insights and building intelligent systems that solve real-world problems.
This repository serves as a central hub for my machine learning projects. Below, you'll find a curated list of my work, demonstrating my skills in predictive modeling, natural language processing, computer vision, and end-to-end project deployment.
This is a snapshot of the tools and technologies I work with across my projects:
Here are some of the projects I've worked on. Each one represents a unique business problem solved with a data-driven approach.
| Project Title | Description | Key Technologies | Repository |
|---|---|---|---|
| IBM Z Datathon '24 | Analyzed YouTube channel data to predict video engagement. Utilized K-Means clustering for audience segmentation and built a predictive GUI. | K-Means, Scikit-learn, Tkinter |
Explore Repo |
| Employee Promotion Prediction | Built and evaluated a classification model for an Analytics Vidhya problem statement to predict whether an employee would be promoted, addressing key HR business challenges. | Classification Models, Decision Tree, GBM Classifier |
Ranked 1323/18300 |
| NYC Taxi Fare Prediction | Developed a regression model to predict total taxi fares in NYC. Evaluated multiple models, selecting Random Forest for its optimal performance. | Feature Importance Analysis, Streamlit Cloud |
Explore Repo |
| Wikipedia Sentiment Analysis | Executed an NLP project to scrape Wikipedia data, perform sentiment analysis, and deploy the classification model as an interactive web app. | NLTK, Random Forest, Pickle |
Explore Repo |
I'm always open to discussing new projects, sharing ideas, or exploring collaboration opportunities. Feel free to connect with me!
- Email: [email protected]
- LinkedIn: linkedin.com/in/harshbang