Thejas Sairam
About Thejas Sairam
Thejas Sairam is a Data Scientist currently employed at Ford Motor Company, where he has contributed to data-driven solutions since August 2023. He has a diverse background, having worked in various roles including Financial Analyst at JPMorgan Chase & Co. and Senior Data Engineer at Bajaj Finserv, and holds degrees in Mechanical Engineering and Business Administration.
Work at Ford Motor
Thejas Sairam has been employed at Ford Motor Company as a Data Scientist since August 2023. In this role, he contributes to the development of data-driven solutions, leveraging his technical skills to enhance operational efficiency and support decision-making processes within the company.
Previous Experience at JPMorgan Chase & Co.
Before joining Ford Motor Company, Thejas Sairam worked at JPMorgan Chase & Co. as a Financial Analyst for 10 months from 2022 to 2023 in India. This position allowed him to gain valuable insights into financial data analysis and reporting, which he later applied in his data science career.
Education and Expertise
Thejas Sairam holds a Bachelor of Engineering (BE) in Mechanical Engineering from Anna University Chennai, which he completed from 2013 to 2017. He further advanced his education by obtaining a Master of Business Administration (MBA) in Business Administration and Management from the Indian Institute of Technology, Kanpur, from 2018 to 2020. His educational background provides a strong foundation in both engineering and business administration.
Career Development and Internships
Thejas Sairam has accumulated diverse work experience through various internships and roles. He served as a Summer Engineering Intern at The Dow Chemical Company in 2016 and as a Summer Research Intern at HDFC Bank in 2019. Additionally, he worked as a Graduate Engineering Trainee at ELGI Equipments Limited from 2017 to 2018 and as a Senior Data Engineer at Bajaj Finserv from 2020 to 2022.
Transition to Data Science
Thejas Sairam transitioned from a financial analyst role at JPMorgan Chase & Co. to a data scientist position, demonstrating his versatility in handling diverse data roles. His ability to adapt and apply his skills in different contexts highlights his commitment to professional growth in the field of data science.