Welcome to my data science portfolio on GitHub! Here you'll find a collection of projects showcasing my skills in data analysis, machine learning, and problem-solving.
Below is a list of projects included in this portfolio. Each project has its own folder containing all relevant files, including notebooks, datasets, and a project-specific README for more details.
- Churn Prediction - Utilizes advanced machine learning techniques to identify customers at high risk of leaving, enabling targeted retention strategies.
- Interview Assistant - Multi-Agent system built with CrewAI to help evaluate candidate and generate report to facilitate interview process.
- Web Scraper on Fortune 500 (Legacy Project) - Build HtmlParser to scrape 2015-2018 fortune 500 basic info with requests and beautifulsoup lib.
- Data Cleaning and Preprocessing
- Exploratory Data Analysis
- Predictive Modeling
- Machine Learning Algorithms
- Data Visualization
- Agentic System
- Python
- Libraries: Pandas, Scikit-Learn, PyCaret, Matplotlib, Seaborn, Plotly, LangChain, CrewAI
- Jupyter Notebook
- Docker
Thank you for visiting my portfolio!