I am a self-motivated, results-oriented data enthusiast with rich experience in data analytics and statistical modeling specializing in deep learning in TensorFlow and Caffe.
Experience
2021 — Now
2016 — Now
2016 — Now
San Francisco Bay Area
Metropolis/Intelligent Video Analytics/Autonomous Vehicles - Deep Learning Software
2015 — 2016
2015 — 2016
Brackets4Life applies the energy of March Madness to take steps towards finding a cure for Sudden Infant Death Syndrome (SIDS). SIDS research needs more funding and one way to achieve this is through efforts like Brackets4Life. Brackets4Life aims not to only raise money for research but also increase awareness of SIDS and the ways for mothers to reduce the risk of SIDS.
• Led a technical team to improve the website user experience using Javascript and Ruby on Rails to increase membership growth by two folds. Designed and implemented a database to track users, brackets, and scores in PostgreSQL that supports design of custom entities, with primary back-end responsibility of showcasing the Tournament leaderboard.
• Played a key role in developing a user referral program and UI showcasing core database features to improve user experience and ultimately membership growth and drive user conversions allowing us to collect over $1700 dollars from over 100 users.
• Collaborated with marketing to implement a mailing system to manage user outreach and increase awareness about SIDS.
Technologies used: Ruby on Rails, HTML, CSS, Javascript, PostgresSqL
2015 — 2015
2015 — 2015
Milpitas, CA
Medtronic is the leading biomedical device company specializing in cardiovascular and spinal technologies. I was a member of the Renal Denervation Group specializing in reducing hypertension.
• Lead product development process of a fixture to test the Simplicity RF generator, the group's major product, in accordance with a newly implemented service procedure.
• Facilitated interdisciplinary team endeavors among R&D, Service and Quality to determine product vision and engineering plan. Wrote project plan and presented clear progress on achievable deadlines on a weekly notice to leadership teams.
• Summarized and analyzed client data to determine product specifications and developed a metric to determine Generator's safety. Ran several tests on Generator to verify metrics created.
• Followed product development process to design and prototype test fixture by making sketches, PCB board designs, and devising complete inventory list .
• Mentored incoming intern on handling project's completion and vision and worked to create achievable project goals.
2015 — 2015
2015 — 2015
San Francisco
• Designed observational study to analyze patient risk of cardiovascular disease using Fitbit and patient lab data.
• Analyzed a dataset of 10,000 rows comparing cardiovascular Health factors and Fitbit data using regression and logistic models, time series and forecasting analysis, and hypothesis testing to predict patient health and risk for cardiovascular disease using Python sk-learn and pandas packages and R regression modules.
Education
Duke University
Bachelor's Degree
The Harker School