Harleen Bagga

• Demand Forecasting: Applied statistical forecasting technique, historical data analysis, and market research to predict future demand for the apparels in retail stores. Incorporated Festival Adjustment to align demand forecasts with Hindu calendar events, resulting in a 4% improvement in the forecast accuracy. Developed a user-friendly web application for easy access and analysis of demand forecasting results. • Location Optimization: Utilized geospatial clustering to analyze store locations and gain insights into the number of competitors in close proximity, income levels including other factors. Analyzed store area, facade, nearby colleges, competitors, state per-capita income, and city population through regression analysis to assess sales potential(70% accuracy) for new-retail stores in various locations. • Inventory Optimization: Recommend adjustments to assortments on existing stores (through store-item assortment clustering), and merchandising strategies(by size-curve allocation on store-item) based on store-sales specific insights.

• Automated the process of detecting users’ learning styles by tracking their web usage patterns, as described in the paper [reportlink] and presented in [presentationlink]. • Utilized exploratory data analysis techniques such as summary statistics (box plots, histograms, pie charts, heat maps etc.) and cluster analysis (PCA, unsupervised Decision Trees) to uncover hidden patterns in data. • Developed a browser extension to map users’ logged activities to the learning preferences observed in the survey, facilitating personalized learning experiences.

• Conducted research in the field of Cyber-Security and Networking, as detailed in the project [link] • Implemented a lightweight three-way authentication scheme utilizing elliptical-curve cryptography.

Coursework included Machine Learning, Natural Language Processing, Computer Vision, Design Thinking, Mathematics For AI, Data Visualization, Productionizing ML on Cloud, Human Computer Interaction, Discreet Mathematics, Operating System, Computer Network, Data Structures & Algorithm, Computer Architecture.