Tanya Krishnakumar Email & Phone Number

San Francisco Bay Area

• Responsible for managing large amounts of data from the Electronic Medical Record (EMR) for the entire Neuroscience department
• Developed models to predict the efficacy of treatments in patients with neurological disorders and to predict time until occurrence of disease-related events
• Designed an NLP algorithm to extract information from unstructured doctors’ clinical notes
• Working to create ML-pipelines and Deep Learning models to classify MRIs (Dicom image data) with the Radiology department
• Co-authored papers, including https://www.msard-journal.com/article/S2211-0348(20)30046-8/pdf

San Francisco Bay Area

• Built business-intelligence dashboards on Redash with MySQL for sales, product, and business development teams
• Optimized SQL code to run efficiently on production-level high-volume data
• Worked on ML-pipelines to help predict user behaviors and patterns

San Francisco Bay Area

Worked in the User Interface team to add features to the internal search engine (Fusion) using Python and Angular.js.

Foster City, CA

• Utilized R and Apache Spark to analyze and cluster user data to do an implicit rating system for Dish Network’s mobile application: Dish Anywhere.
• This resulted in Dish Network being able to provide users with a customized list of shows based on their watch patterns.

Berkeley, CA

Analyzed the effects of a law preventing inattentive driving in the state of Washington using various data analysis tools, including K-Means and Hierarchal clustering. The goal of this was to determine whether the law had any impact in decreasing accident rates in Washington.