Oct 2020 – Nov 2021 · 1 yr 1 mo · Berlin, Germany

Mar 2019 – Jul 2020 · 1 yr 4 mos · Berlin

Jun 2018 – Dec 2018 · 6 mos · Berlin Area, Germany

• Worked as Data Scientist to implement and experiment with state-of-the-art machine learning algorithms to support different industries in the SAP ecosystem.
• Classification of Invoice Descriptions: Employed Deep Learning and Natural Language processing to classify transactions in SAP Ariba platform and generate new valuable insights. The system is leveraged to understand buyer-supplier relationships.
• Ensuring End-user Privacy and Data Security for Machine Learning Using AWS Virtual Private Cloud: Setting up virtual private networks for efficient and secure management of complex and large datasets; Automating the deployment of infrastructure with Ansible for reproducibility.

Dec 2017 – Feb 2018 · 2 mos · Berlin

• Worked as Data Scientist and carried out the following:
• Multi-person detection and identification: Image processing and Deep learning to detect and differentiate people, with focus on noisy scenarios.
• Benchmarking: Evaluation of developed system against novel research approaches(such as YOLOv2)

Jun 2017 – Dec 2017 · 6 mos · Berlin Area, Germany

• Worked as Data Scientist to explore data-driven approaches in order to gain in-depth analysis of parameters involved in jet engine manufacturing.
• Optimization of temperature regulation for enthalpy: Implementing Machine learning and deep learning algorithms in order to compute optimal working temperature for manufacturing stages, given the enthalpy and fuel-air ratio. The data-driven approach has less computational complexity and more scalability.