Identified string-matching algorithms for consumer name similarity analysis

Implemented and analyzed algorithms’ accuracy to perform consumer entity resolution in Identity Graph

Computed operational metrics like data size/count to understand Identity Graph growth rate for storage capacity computation in Hadoop clusters

Published operational metrics in Grafana, Power BI, and Tableau

Recoding free response answers of over 2000 survey respondents to a nurse pain survey to numerical values using Python for easier data analysis

Rewriting a job in the ETL process that reduced the runtime from 6 hours to 2.5 hours and the shortened rebuild time of elastic search from 8 hours to 4 hours

Refactoring legacy SQL stored procedures and scripts to make them more dynamic and optimized

Converting sql scripts into Azure Data Studio notebooks to allow nontechnical users to run code

Configuring polybase to explore potential benefits of adopting MongoDB

Collaborating with a professor to develop code in R that can detect signals from

noise and the intervals where those signals are located

Utilizing recursion and dyadic intervals to improve computation time from n^2​ ​to

nlog(n)