Data Scientist & Analyst
Aspiring Data Scientist with a strong academic background in Economics and hands-on experience in data analysis, visualization, and machine learning. Passionate about transforming raw data into actionable insights and building solutions that solve real-world problems.
Comprehensive toolkit for end-to-end data science projects
Real-world applications demonstrating data science skills and impact
Machine Learning · Classification
Built a comprehensive machine learning model to predict customer churn using Random Forest algorithm. Implemented feature engineering, data preprocessing, and model optimization techniques to achieve high accuracy.
Machine Learning · Regression Modeling
Built a predictive model using scikit-learn to estimate house prices based on features like location, size, and amenities. Includes EDA, preprocessing, and evaluation metrics.
Automation · Web Scraping
Automated script to generate product URLs for e-commerce platforms using Python and BeautifulSoup. Designed to streamline bulk scraping tasks for inventory tracking.
Data Preprocessing · Portfolio Ready
Modular pipeline for cleaning real-world datasets (NYC Taxi). Includes missing value handling, type conversions, and reproducible scripts with markdown documentation.
🚀 Currently seeking Data Science internship opportunities to apply my skills, learn from industry professionals, and contribute to impactful projects.