Data Scientist
Current• Deploy ML models into production using Oracle Data Miner API • Design structure and maintain historical data for all ML Requests• Provide statistical expertise to assist in identifying and implementing future development opportunities• Enhance and update logic, tables and objects within data warehouse to create client development requests• Create ETL processes for third party integrations, automate nightly scheduling and maintain data integrity in production database• Consulting with clients to develop ad hoc reports and products to assist with day to day operations or large project needs• Design, automate and maintain complex regulatory reporting extracts• Keep detailed records of code changes and write detailed release specs for deployment into other client environments• Review, identify and repair production issues within dozens of client environments • Support clients with Oracle Business Intelligence product and performance issuesKey Achievements:✔ Developed custom Segmentation, Attrition, Next Best Product and Profitability models for individual clients to assist with company and team goals and projections✔ Promoted to DevOps team as developer. Designed and implemented development projects into production environments✔ Requested to Merger Team for high profile projects. Responsible for creating packages and stored procedures to translate and standardize data from legacy banking system to meet the requirements of the current system. This includes testing multiple cuts of data before merging into live production environments.✔ Automated balancing reporting for client onboarding process, saving dozens of hours of project time for future implementations✔ Expert within the support team for SQL client requests, including opportunity and data quality management identification and consulting✔ Developed numerous procedures to enhance error logging in daily summarization process, specific to client needs