About

Venkatesh Umaashankar is an Applied Machine Learning professional with over 17 years of experience in the industry. He is currently working as an Engineering Manager at Google, where he is responsible for developing and implementing machine learning applications. Venkatesh has a strong product development, programming, and engineering background, which has helped him in building successful data science teams. Venkatesh is an expert in end-to-end implementations, from the conception of an idea to production deployment. He has practical expertise in developing machine learning applications and is experienced in performing academic literature surveys and converting them into working solutions. Venkatesh has also mentored juniors and built high-performance teams. Previously, Venkatesh has worked with Ericsson in various roles. As a Senior Manager (Data Science & Machine Learning), Global Artificial Intelligence Accelerator, he built a diverse team of Data Scientists, Data Engineers, and Product Managers from scratch across India, Sweden, and the US. He contributed to the strategy for enhancing ML/AI adoption within Ericsson and was responsible for the operations and execution of data-driven projects. As an Applied Machine Learning Researcher, he defined architecture and prototyped various use cases for the NWDAF (Network Data Analytics Function), which provides analytics to 5G Core Network Functions. Venkatesh has a strong tech stack, including ML, Senior Software Engineer, NLP, Data Scientist, AI, Research Scientist, and Deep Learning. He has also given a featured talk on Demystifying Data Science and shared his slides and recording on LinkedIn. Overall, Venkatesh is a highly skilled Applied Machine Learning professional with a wealth of experience in the industry. His expertise in developing machine learning applications and building successful data science teams makes him a valuable asset to any organization.