Swathi Sheshadri

Swathi Sheshadri

Senior Data Science Innovation Engineer @ Procter & Gamble

About Swathi Sheshadri

Swathi Sheshadri is a Senior Data Science Innovation Engineer at Procter & Gamble with extensive experience in data science, machine learning, and computational neuroscience.

Current Role at Procter & Gamble

Swathi Sheshadri holds the position of Senior Data Science Innovation Engineer at Procter & Gamble, a role she began in 2023. She is based in Kronberg, Hesse, Germany. In this capacity, she applies her extensive knowledge in data science and machine learning to drive innovation within the company.

Previous Roles at Procter & Gamble

Before her current role, Swathi worked as a Data Science Innovation Engineer at Procter & Gamble from 2022 to 2023. During her one-year tenure in Germany, she contributed to various data-driven projects and collaborated with multi-functional teams to solve complex problems.

Experience at German Primate Center

Swathi has a comprehensive background at the German Primate Center, where she served as a Scientist from 2021 to 2022 and as a PhD Candidate from 2016 to 2020. Her work focused on theoretical and computational neuroscience. She initially joined the center as an Intern from 2015 to 2016, gaining valuable experience in academic research.

Academic Background and Qualifications

Swathi earned her PhD in Theoretical and Computational Neuroscience from The University of Göttingen, completing her studies between 2016 and 2020. Prior to her PhD, she obtained a Master of Science in Electrical and Computer Engineering from the National University of Singapore in 2014. She also holds a Bachelor of Engineering in a field related to her expertise, obtained from SJCE in 2011.

Technical Skills and Expertise

Swathi possesses strong technical skills in Matlab and Python programming, leveraged throughout her career and academic endeavors. Her robust quantitative background underpins her expertise in machine learning and data science, enabling her to tackle challenging problems and collaborate with multi-functional teams effectively.

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