As an End-to-End Data Science Professional focusing on AI and ML, I am currently gaining hands-on experience as a Data Management and Automation Intern at Munich Re. My responsibilities include managing Policies and Claims data for actuarial analysis and automating pipelines for data cleaning and transformation. Simultaneously, I am dedicated to my academic pursuit, pursuing a master's in Data Science at TU Dortmund.
My research is centered on Anomaly Detection, Computer Vision, and Time Series Analysis. I explore the field of anomaly detection by detecting anomalies in Image and Temporal Datasets. My thesis, Enhancing uncertainty estimation and outlier detection through confidence calibration for out-of-distribution data, aims to improve deep neural networks for outlier and anomaly detection using Uncertainty estimation and Out-of-distribution data.
- Data Management & Automation Intern - Munich Re (June 2024 - Present)
- Data Analytics Intern - Munich RE (May 2023 - April 2024)
- Student Research Assistant - TU Dortmund (March 2022 – April 2023)
- Consultant Data Scientist - Celebal Tech. (Sep 2018 - June 2020)
- Masters in Data Science at TU Dortmund
- Bachelors in Computer Science at MAIET