Bhanu Prakash Vasamsetty
About Bhanu Prakash Vasamsetty
Bhanu Prakash Vasamsetty is a seasoned data science professional with over 11 years of experience in delivering machine learning products. He currently serves as the Director of Data Science at Turtlemint and has held key positions at various organizations including Housing.com, Lazada Group, and Houm Technology Singapore.
Current Role at Turtlemint
Bhanu Prakash Vasamsetty serves as the Director of Data Science at Turtlemint. In this role, he is responsible for leading data science initiatives and driving the development of machine learning products. His expertise contributes to the company's focus on leveraging data to enhance customer experiences and optimize business strategies.
Previous Experience in Data Science
Prior to his current position, Bhanu worked as a Lead Data Scientist at Lazada Group from 2019 to 2021. He also co-founded and led AI initiatives at Houm Technology Singapore Pte. Ltd. from 2017 to 2019. His earlier roles include serving as a Senior Data Scientist at Housing.com and as a Data Scientist at the same company, where he contributed to various data-driven projects.
Educational Background in Computer Science
Bhanu Prakash Vasamsetty earned a Bachelor’s Degree in Computer Science from the Indian Institute of Technology, Bombay, from 2009 to 2013. This educational foundation equipped him with the technical skills necessary for his career in data science and machine learning.
Technical Skills and Expertise
Bhanu possesses a diverse skill set in technical tools and platforms essential for data science. He is proficient in Tensorflow, Keras, PyTorch, PySpark, Hadoop, AWS, GCP, Azure, and BigQuery. His technical expertise supports his ability to deliver enterprise-scale machine learning products across various industries.
Diverse Industry Experience
Bhanu has accumulated over 11 years of experience across multiple domains, including Insurtech, E-Commerce, Fintech, Internet Privacy, and Online Real Estate. This diverse background enables him to apply data science principles effectively in different contexts, enhancing his contributions to the organizations he has worked with.