Detail-oriented graduate student specializing in Big Data Analytics, with a solid foundation in Chemistry research. Proficient in Python, SQL, Azure, and various data visualization tools, with hands-on experience in machine learning, ETL pipeline development, customer segmentation, and sentiment analysis projects. Committed to transforming complex datasets into actionable insights and eager to leverage analytical skills in a dynamic data analysis or engineering role. Strong passion for driving data-driven decision-making and enhancing organizational performance through innovative solutions.
Netflix Audience Clustering & Insight Analysis (Python, Scikit-learn)
Amazon Customer Segmentation Analysis (Python, K-Means, K-Modes)
Customer Churn Prediction — Decision Tree Model (Python, Scikit-learn)
Technical Skills
Soft Skills