Swathi K
About Swathi K
Swathi K is a Lead Technical Product Manager at Velocity Clinical Research, Inc. in India, with a background in data science and engineering, and an MBA in Human Resources Management.
Work at Velocity Clinical Research
Swathi K currently serves as the Lead Technical Product Manager at Velocity Clinical Research, Inc., a position she has held since 2022. In this role, she is responsible for overseeing product development and technical strategies within the organization. Her tenure at Velocity Clinical Research has allowed her to leverage her extensive background in data science and engineering to enhance product offerings.
Previous Experience in Data Science
Before joining Velocity Clinical Research, Swathi K worked as a Data Scientist at GSK from 2021 to 2022 for a duration of five months. Prior to that, she spent two years at ADP in a similar role from 2019 to 2021. Her experience in data science has equipped her with the analytical skills necessary for her current position.
Educational Background
Swathi K has a solid educational foundation in engineering and management. She earned a Bachelor of Technology (B.Tech.) in Electrical and Electronics from VNR Vignana Jyothi Institute of Engineering and Technology, completing her studies from 2008 to 2012. Additionally, she obtained a Master of Business Administration (MBA) in Human Resources Management from the Indian Institute of Management, Ranchi, between 2015 and 2017.
Professional Journey in IT and HR
Swathi K's career spans various roles in IT and human resources. She worked as a System Engineer at Tata Consultancy Services from 2012 to 2015. Following that, she served as an HR Business Partner at PAREXEL from 2017 to 2019. This diverse experience has contributed to her comprehensive understanding of both technical and managerial aspects of business operations.
Specialized Training in Data Science
In addition to her formal education, Swathi K pursued specialized training in data science. She completed a Post Graduate Program (PGP) in Big Data Analytics and Optimization at the International School of Engineering (INSOFE) in 2018. This program enhanced her skills in data analysis and optimization techniques, further supporting her career in data-driven roles.