Krishna Kumar Kottakki (Ph.D.)
About Krishna Kumar Kottakki (Ph.D.)
Krishna Kumar Kottakki is a Full Stack Developer and Data Scientist with a Ph.D. in Nonlinear State and Parameter Estimation from the Indian Institute of Technology, Bombay. He has contributed to various engineering fields through innovative solutions and has a strong background in operations research and analytics.
Work at Velocity Clinical Research
Krishna Kumar Kottakki has been employed at Velocity Clinical Research, Inc. since 2022, serving as a Full Stack Developer and Data Scientist. His role involves leveraging his expertise in software development and data analysis to contribute to clinical research initiatives. He is based in the Greater Hyderabad Area.
Education and Expertise
Krishna Kumar Kottakki holds a Doctor of Philosophy (Ph.D.) in Nonlinear State and Parameter Estimation from the Indian Institute of Technology, Bombay, completed in 2016. He also earned a Master's degree in Chemical Process Design from the National Institute of Technology Warangal in 2010 and a Bachelor of Technology (B.Tech) in Chemical Engineering from Andhra University in 2005. Additionally, he completed a Post Graduate Program in Product Management and Analytics at Great Learning in 2023.
Background
Krishna Kumar Kottakki has a diverse professional background that includes roles in various organizations. He worked as a Senior Manager at Shoppers Stop from 2021 to 2022 in Mumbai, and as an Operations Research Scientist at Swiggy from 2019 to 2021 in Bengaluru. Prior to that, he was a Research Scientist at GyanData Pvt Ltd from 2016 to 2019 in Chennai. His early career included positions as a process engineer and technical assistant in different industries.
Achievements
Krishna Kumar Kottakki has made significant contributions to the field of data science and engineering. He developed the Unscented Gaussian Sum Filter in 2014 and the Monte Carlo Gaussian Sum Filter in 2016, both serving as alternatives to existing filtering methods. He also contributed to a multi-objective assignment algorithm for food delivery, which reduced delivery costs by 6% for a high-volume system. Recently, he filed a patent for a Reinforcement Learning Approach on Patient Retention in Clinical Trials.
Research Contributions
Krishna Kumar Kottakki has been involved in advanced research projects, including state-of-the-art estimation solutions utilizing the Sum of Gaussians concept. His research work on delivery cost reduction earned him recognition as part of 'Team Awesome.' His work has been published in the International Conference on Industrial Engineering and Operations Management (IEEM), highlighting his contributions to operational efficiency in various sectors.