Priyanka Roy

Developed logistics analytics features including CO₂ Emission Calculator and Center of Gravity, and migrated the Center of Gravity module from R to Python. Built a Shiny UI, implemented dead stock and safety stock calculations, and delivered/tested FastAPI CRUD REST endpoints for MySQL and MongoDB with Pytest, Swagger UI, Ruff, and MyPy.

Analyzed and visualized sales data to assess price elasticity across KTM bike models and competitor offerings. Conducted customer analytics and statistical analysis to evaluate exhibition zone performance and identify drivers of engagement and sales potential.

Developed a health monitoring system for autonomous robots using supervised machine learning on streaming time-series data. Built a computer vision module with OpenCV, applied fuzzy pattern trees (skfuzzy) for real-time safety monitoring, created diagnostic anomaly/root-cause models, and integrated health monitoring with ROS for autonomous deployment.

Designed and developed Oracle JD Edwards applications and reports across Finance, Sales, Procurement, and Manufacturing modules. Implemented C-based business functions and created dynamic, data-driven reports using BI Publisher.

Developed procurement and business modules using Oracle JD Edwards and performed unit testing to ensure correctness of delivered functionality. Provided training and mentorship to new employees on development processes and best practices.

Designed and implemented the Inventory module and developed C-based business functions to support interactive workflows across Inventory, Sales, and Procurement modules. Implemented client change requests and built automation tools using JD Edwards and Java for package build activities and third-party application data extraction.

Grade: 2.0

Activities and societies: Master thesis: ASOD (GUI using meta-learning to select outlier detection). Also worked on JARVIS at Fraunhofer Institute for Mechatronic Systems Design; setting up server/backends and converting CONSENS models to SysML for storage.

Earned a Master’s in Computer Science with a specialization in Data Science. Thesis work focused on an efficient GUI for selecting outlier detection techniques using meta-learning, plus MBSE support via JARVIS at Fraunhofer.

Grade: First class with distinction

Completed a Bachelor’s degree in Computer Science with distinction. Focus was on foundational and specialized computer science engineering coursework.