Shiyam Sundar T K
About Shiyam Sundar T K
Shiyam Sundar T K is a Data Science Lead at Impact Analytics in Bengaluru, Karnataka, India, where he oversees research and development to improve forecasting pipelines. He has a diverse background in data science and analytics, having worked in various roles across multiple companies since 2015.
Current Role at Impact Analytics
Shiyam Sundar T K serves as the Data Science Lead at Impact Analytics since 2023. In this role, he oversees research and development activities aimed at enhancing the existing forecasting pipeline. His leadership involves managing a team dedicated to building AI and machine learning models for a major retail client with an annual revenue of USD 12 billion. His position is based in Bengaluru, Karnataka, India, where he works on-site.
Previous Experience in Data Science and Analytics
Prior to his current role, Shiyam held several positions in data science and analytics. He worked as a Senior Data Scientist at TVS Credit Services Ltd. for 3 months in 2022 and again for 8 months from 2021 to 2022. He also served as a Data Scientist at Figital Technologies for 5 months in 2022. Earlier in his career, he worked as a Junior Business Analyst at Systech Solutions, Inc. for 6 months in 2020 and as an Engineer at Brakes India Private Limited for 7 months in 2018.
Educational Background and Qualifications
Shiyam Sundar T K has a solid educational foundation in engineering and analytics. He earned a Bachelor's degree in Mechanical Engineering from Sri Venkateswara College of Engineering, completing his studies from 2010 to 2014. He furthered his education with a Postgraduate Degree in Business Analytics and Business Intelligence from Great Learning, which he completed in 2020. Additionally, he studied Blockchain at Pixeltests & IIT Madras from 2022 to 2033.
Career Development and Skills
Shiyam has developed a diverse skill set throughout his career, focusing on data science, business analytics, and engineering. His experience spans various roles, including engineering and business analysis, which has equipped him with a comprehensive understanding of data-driven decision-making processes. His work involves building predictive models and enhancing forecasting capabilities, demonstrating his proficiency in AI and machine learning applications.