Debarshi Deka
About Debarshi Deka
Debarshi Deka is a Data Scientist at Bend Health, where he has worked remotely since 2024. He holds a Master of Science in Computer Science from the University of Wisconsin-Madison and has previous experience in various technical roles, including internships at notable companies such as NVIDIA and Texas Instruments.
Work at Bend Health
Debarshi Deka has been employed at Bend Health as a Data Scientist since 2024. In this role, he works remotely from Madison, Wisconsin. His responsibilities include leveraging data science techniques to enhance health-related services and improve patient engagement.
Education and Expertise
Debarshi Deka holds a Master of Science in Computer Science from the University of Wisconsin-Madison, where he studied from 2021 to 2023. He also earned a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Birla Institute of Technology and Science, Pilani, from 2017 to 2021. His educational background provides a strong foundation in data science and engineering principles.
Professional Experience
Prior to his current position, Debarshi Deka gained diverse experience through various internships. He worked as a Research Intern at CSIR-CEERI in 2018, a Software Engineer Intern at Whova in 2022, and a Machine Learning Engineer Intern at Texas Instruments in 2021. He also interned at NVIDIA in 2020, where he developed skills in software engineering and machine learning.
Technical Skills and Contributions
Debarshi Deka has demonstrated proficiency in data management and analysis. He has performed complex SQL queries to address data integrity issues, resulting in a 5% reduction in errors. Additionally, he automated data pipelines using Apache Airflow, which improved analysis efficiency. His work with Amazon QuickSight led to a 15% increase in data-driven decision-making.
Projects and Initiatives
During his time at Bend Health, Debarshi Deka spearheaded a project utilizing the OpenAI API to generate patient-friendly reports. This initiative resulted in a 25% boost in customer engagement, showcasing his ability to apply data science to real-world challenges.