Sumedh Sankhe
About Sumedh Sankhe
Sumedh Sankhe is an R Shiny Software Engineer at Alamar Biosciences, Inc. with extensive experience in bioinformatics and data analysis, having previously worked at Genentech and various academic institutions.
Work at Alamar Biosciences
Currently, Sumedh Sankhe serves as an R Shiny Software Engineer at Alamar Biosciences, Inc. He has been in this role since 2023, working in Fremont, California. His responsibilities include developing web applications that leverage R Shiny for data visualization and analysis, contributing to the company's mission in the biosciences sector.
Previous Experience at Genentech
Sumedh Sankhe has held multiple positions at Genentech, a leading biotechnology company. He worked as a Principal Scientific Researcher in Bioinformatics from 2021 to 2022 and as a Scientist 3 in Bioinformatics from 2022 to 2023. His tenure at Genentech involved significant contributions to bioinformatics research and data analysis, enhancing the company's scientific capabilities.
Education and Expertise
Sumedh Sankhe holds a Master's Degree in Data Science from Khoury College of Computer Sciences, completed between 2017 and 2020. He also earned a Master's Degree in Industrial Engineering from Northeastern University in 2016 and a Bachelor of Science in Marine Engineering from Birla Institute of Technology and Science, Pilani, in 2012. His educational background supports his expertise in machine learning, data visualization, and database management.
Background in Teaching and Research
Sumedh Sankhe has experience in academia, having worked as a Graduate Teaching Assistant at Khoury College of Computer Sciences in various capacities from 2019 to 2020. He also served as a Research Software Engineer at the same institution. His roles involved supporting students and contributing to research projects, enhancing his skills in software development and data analysis.
Technical Skills and Interests
Sumedh Sankhe possesses a strong skill set in programming languages and tools, including Python, R, SQL, and libraries such as NumPy, Pandas, and TensorFlow. He is proficient in databases like MySQL, PostgreSQL, and MongoDB. His interests include developing proof of concept web applications that incorporate machine learning methods and big data, demonstrating a commitment to advancing his technical capabilities.