
Currently interning in Business Operations at Virtusa while pursuing a degree in Business Data Analytics. Skilled in Power BI, Excel, Python, SQL, and R to uncover trends and support data-informed decision-making. I am passionate about turning data into actionable insights that enhance operational efficiency while further developing my analytical skills.
Customer Segmentation for KJ Marketing (Data Science Project Lifecycle): Developed a customer segmentation model using machine learning algorithms including KNN, Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting to classify customers based on purchasing behavior. The Gradient Boosting model achieved the highest accuracy, offering insights to enhance marketing strategies, and the project was recognized with the Merit Award of Excellence for its analytical impact.
Gender Representation in STEM (Data Visualization Portfolio): Analyzed the factors contributing to the underrepresentation of women in STEM across Asia and Europe using World Bank and UNESCO data. Developed interactive visualizations in R and Power BI to highlight key influences such as literacy rates and GDP allocation.