Anupam Kakkar

Topic: Identifying Components for Energy System Planning by Instance Segmentation of Street-View Images • Developed a semi-automated annotation strategy to prepare image datasets for instance segmentation and object detection tasks. • Fine-tuned deep learning models and improved the detection accuracy/recall by tuning hyper-parameters. • Designed an image processing pipeline to combines results from multiple prediction models for geo-spatial analysis.

Part of the tutor team at the Chair of Databases and Information Systems. Key responsibilities included: • Tutored a class of 20 students for the subject Databases and Information Systems (Winter Semester 2019 & 2020). • Completed the project “Prototyping Databases for Clinical Administrative Usage” in collaboration with Universitätsklinikum Freiburg.

Part of the Energy Systems and Energy Economics Group as a data analyst. Key responsibilities included: • Developed an interface to retrieve and analyze statistical data from Forschungsdatenzentrum (FDZ) using IBM SPSS and R. • Redesigned a MS Excel based statistical tool in R and increased data processing speed by 20%.

Part of a cross functional team for banking & financial services clients. Key responsibilities included: • Involved in all phases of the SDLC as a full-stack developer for the Finacle Banking suite. • Increased the robustness of customization modules in core banking and loans systems by implementing bug fixes. • Improved performance of batch report tool by tuning SQL queries and reduced the execution time by 30%. • Assisted the client's team during EOD/BOD process runs & ensured a 99% system uptime.

Masters in Informatik with a specialization in Machine Learning, Computer Vision and Advanced Databases.

Bachelors in Computer Science and Engineering with a focus on Advanced and Distributed Databases, Networking.