Karan Shah
Bis 2022, Business Analyst Intern, BMW Group
Munich, Deutschland
Über mich
I am a grad student at the Technical University of Munich studying M.Sc. Informatics. I am currently writing my master thesis and I’ve just realized the “very real risk” of being employable at the end of it. My research interests include crowd modelling and simulation, dynamical systems, chaos and number theory. I am fascinated by the distribution of prime numbers and the Goldbach’s conjecture. I have worked with AUDI AG, BMW GROUP AG, CodeChef, Quantiphi Inc. and NSE (National Stock Exchange of India Limited) in various capacities on projects in the domains of Data and Business Analytics, Machine Learning, Autonomous Driving and Game Development. I am currently working at the Chair of Traffic Control and Engineering at TU Munich on the SAVeNoW project where I am conceptualizing and designing a digital twin of the city of Ingolstadt in Germany. I volunteer for 15X4 Munich where we organize free educational meetings, competitions, industrial visits and other events.
Werdegang
Berufserfahrung von Karan Shah
Bis heute 1 Jahr und 10 Monate, seit Aug. 2022
Research Assistant - Autonomous Driving
Technical University of Munich
Researching and operationalizing the construction of a digital twin of the city of Ingolstadt, BY, DE using ArcGIS CityEngine and Unity3D. Running procedural tests on a landscape of approx 30 sq. km. with an aim to answer questions in the domains of traffic efficiency, safety, ecology and social acceptance of autonomous vehicles.
8 Monate, März 2022 - Okt. 2022
Data Science Intern
Quantum Diamonds
Modelled Rabi and Electron Spin Resonance (ESR) data using techniques like Gaussian Process, CMA-ES and a custom Auto-Encoder to better understand and streamline the process of creation of Diamonds with Nitrogen Vacancies and their properties.
Worked on handling customer feedback processing as a Big Data application within the Global Customer and Dealer Satisfaction Team at BMW. Prototyped a Document Clustering pipeline using SBERT and Doc2Vec. Led the process management pipeline during the market launch of the new-7 series (2022) in the European and North American Markets.
1 Jahr und 2 Monate, Feb. 2021 - März 2022
Research Assistant - Reinforcement Learning
Technical University of Munich
Learnt local & global navigation behaviors via multimodal interaction between agent-agent and agent-environment in real world 3D environments using Unity ML Agents and Open AI Gym. Matched benchmark OpenAI benchmarks, and devised connectors to run OpenAI algorithms on packaged Unity environments.
8 Monate, Juli 2019 - Feb. 2020
Business Analyst
Quantiphi
Worked with a decision-science team on multiple use cases in Machine Learning & Computer Vision. Led decision-making conversations using market trends, user behavior findings, price & market constraints and data visualizations.
Ausbildung von Karan Shah
Bis heute 3 Jahre und 8 Monate, seit Okt. 2020
Informatics
Technical University of Munich
3 Jahre und 10 Monate, Aug. 2015 - Mai 2019
Computer Science
Dwarkadas J. Sanghvi College of Engineering