● Analyzed 50,000+ patients using SQL and python to flag duplicate patients accounts and identify source of duplication.● Identified and cleansed anomalies and measurement errors of data, which amounted to 3% of the training dataset.● Collaborated with the eBO R&D Developers to understand business requirements and deliver product enhancements.● Built 85+ dashboards and custom reports, illustrating various reports to help clients make business decisions.● Increased efficiency by 40% by creating new USCs as part of the USC Project, resulting in a significant reduction in customer service requests, supporting business strategy goals.● Directed monthly and ad-hoc reporting to inform 30+ institutions in decision making by managing 700+ scheduled reports.

● Improving sync operation by building services for Linux machines that would function without an active Terminal.● Developed tooling to seamlessly configure and sync 4 Terabytes of MRI scans and metadata directly to CTNI Cloud.

● Developed reports for managers and cross-functional teams to form the design of products and roadmap discussions.● Built ETLs to clean and aggregate data from sources such as Data Lake, Redshift, S3 to be ingested by HP GreenLake.● Leveraged NLP techniques to interfere with actual New Logos count using measures to tokenize and standardize names.● Deployed a Machine Learning Model to identify and flag duplicate accounts, improving misclassified New Logos count by 64% and lifting customer retention. ● Analyzed 380,000+ company records using SQL and Python to establish a two-tier system for name standardizations.