I worked with Massachusetts Institute of Technology’s Institute of Data Science for a Certification Program in Machine Learning, Artificial Intelligence, and Data Science. Here’s what I learned:

• 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺: Recommended Amazon products to users using rank-based, similarity-based, and matrix factorization techniques.
• 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀: Developed models to identify leads likely to convert to paying customers, leveraging decision trees, random forests, and hyperparameter tuning.
• 𝗙𝗼𝗼𝗱𝗛𝘂𝗯 𝗢𝗿𝗱𝗲𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Conducted data analysis and visualization to identify trends in restaurant demand, offering actionable insights for business improvements.

These projects helped me hone my skills in exploratory data analysis, machine learning algorithms, and data visualization, while also improving my ability to translate raw data into meaningful insights.

𝗞𝗲𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 𝗔𝗰𝗾𝘂𝗶𝗿𝗲𝗱:
• Machine learning techniques (classification, recommendation systems)
• Data analysis and visualization
• Statistical modeling and hypothesis testing

Check out my portfolio here.