Gowthami Manogna Gottipati
About Gowthami Manogna Gottipati
Gowthami Manogna Gottipati is a Senior Data Scientist at Greenko Group, with a background in Artificial Intelligence and Computational Science. She holds a Master's degree from the Indian Institute of Science and a Bachelor's degree from The LNM Institute of Information Technology.
Work at Greenko Group
Gowthami Manogna Gottipati serves as a Senior Data Scientist at Greenko Group, a position she has held since 2020. In this role, she applies her expertise in data science to support the company's initiatives in renewable energy and sustainability. Her work involves analyzing complex datasets to derive insights that contribute to the company's strategic objectives. Greenko Group is known for its commitment to clean energy solutions, and Gowthami's contributions are integral to advancing these goals.
Education and Expertise
Gowthami holds a Master's degree in Computational Science from the Indian Institute of Science (IISc), which she completed from 2010 to 2012. She also earned a Bachelor's degree in Computer Science and Communication Engineering from The LNM Institute of Information Technology, graduating in 2010. In addition, she studied Artificial Intelligence and completed an Executive programme in AIML in 2020 at IIIT Hyderabad. This educational background equips her with a strong foundation in data science and artificial intelligence.
Background
Gowthami began her professional career as a Design Engineer 2 at AMD, where she worked from 2012 to 2014. During her time at AMD, she gained valuable experience in design engineering, which contributed to her technical skills in data science. After her tenure at AMD, she transitioned to her current role at Greenko Group, where she has focused on leveraging data to enhance operational efficiency and support renewable energy projects.
Professional Experience
Gowthami has accumulated significant experience in the field of data science and engineering. Her role at Greenko Group as a Senior Data Scientist involves utilizing advanced analytical techniques to interpret data and inform decision-making processes. Prior to this, her experience at AMD as a Design Engineer 2 provided her with a solid understanding of engineering principles and practices, which she now applies in her data science work.