Vamsi Kolluri

Rotation 1: TPM on the GAP CX-Team

• Aided in migrating user/product analytics to Pendo.
• Created dashboards and widgets to view product analytics
• Presented value of using Pendo to all of GAP TPMO.
• Pulled data from Nike API endpoints to create employee dataset that contains HR mapping for all Nike employees.
• Utilizing this Nike Employee dataset to perform market segmentation analysis for GAP products.
• Communicating value of market segmentation report with close stakeholders and all of GAP TPMO.

• Performed Spark structured streaming for warehouse events using Apache Kafka and Python.
• Migrated warehouse streaming event data to mySQL database.
• Visualized migrated event data within Tableau.
• Presented internship work to team and other Global Technology leaders.

• Developed neural network model to create better size-fit recommendation system. Best model had 75.29% size-fit prediction accuracy.
• Collaborated with students as well as Farfetch stakeholders to make gradual improvements on our methods by using agile methodologies.
• Worked on developing Flaskweb app that presents visualizations to explore recommendations based on given user and stores user data in MySQL database.
• Ran statistical analyses using Python's Pandas library within Jupyter notebooks environment to process large mock Farfetch datasets.