Gregory L Sparks Email and Phone Number

- Developed a currency exchange rate system that enabled financial data to be represented in multiple currencies across a variety of tools (Ruby on Rails, Postgres, Nest.js, and React).- Implemented a financial transaction tagging system.

-Developed and maintained several integrations between Puppet Server and other external systems such as Servicenow, Splunk, and several others. This allows customers to push server configuration changes rapidly from whichever system their IT teams use on a daily basis.- Developed a containerized remote execution engine that allowed customers to run ad hoc software scripts outside the context of Puppet Server.- Led customer training sessions on the above two products.

Supported a cross functional data science team by providing technical guidance on project architectures. - Implemented unit testing frameworks and a data quality alert system on two key forecasting products. - Containerized Python/R/Spark forecasts with Docker to run scheduled forecasts through AWS EMR in a reproducible manner. - Implemented a logging system to organize and provide context around failures. - Utilized Airflow scheduler to dynamically allocate AWS resources… Show more Supported a cross functional data science team by providing technical guidance on project architectures. - Implemented unit testing frameworks and a data quality alert system on two key forecasting products. - Containerized Python/R/Spark forecasts with Docker to run scheduled forecasts through AWS EMR in a reproducible manner. - Implemented a logging system to organize and provide context around failures. - Utilized Airflow scheduler to dynamically allocate AWS resources saving thousands in compute costs. - Championed the adoption of version control and code reviews. - Immediately took leadership role in developing expertise in and maintaining a production forecasting product on AWS. Show less

Developed automated deposits forecast in R to anticipate deposits outflows in a rising rate environment. Results have been successfully utilized since January 2018 to preemptively purchase deposits from other financial institutions. Ensured there was adequate capital to sustain growing auto lending business on a 12 billion dollar portfolio. Conduct standing monthly meeting with Chief Investments Officer to provide pricing and purchasing recommendations.Implemented automated auto loan… Show more Developed automated deposits forecast in R to anticipate deposits outflows in a rising rate environment. Results have been successfully utilized since January 2018 to preemptively purchase deposits from other financial institutions. Ensured there was adequate capital to sustain growing auto lending business on a 12 billion dollar portfolio. Conduct standing monthly meeting with Chief Investments Officer to provide pricing and purchasing recommendations.Implemented automated auto loan pricing module in python that has been used for 12 months to proactively set auto rate pricing based on Opex, Risk, Cost of Funds and competitive pricing data.Use Random Forest to asses members risk of closing their accounts. Results were provided to retention teams to proactively reach out to members.Successfully targeted a student loan refinance marketing campaign. Used classification to anticipate whether or not members had student loans. Click through ratio was 2.3% which was higher than any previous student loan campaign.Spearheaded monthly analytics forum to provide peer review and champion the latest analytics techniques. Championed the adoption of git version control. Wrote an R package to automate all deposits campaign reporting (12 active campaigns) and process member payouts. Added an automated test every time a bug was discovered.Provided council to IT teams about database design and normalization regarding a data warehouse project.Wrote a tool in R to break up large queries that would typically overwhelm the Oracle reporting server into n batches of smaller queries. This tool has been deployed to analysts across the organization to provide access to data that was previously thought to be out of reach.Devoted an hour a day to learning something new, often via datacamp.com Show less

Backend Ruby on Rails DeveloperCreated a suite of utilities to address common customer pain points including data migration in and out of the software. Developed a user impersonation tool to benevolently hijack user sessions in order for customer success representatives to more easily diagnose issues. Unit test, git, and linting best practices were observed in all work.Tracked down slow queries generated by ActiveRecord and implemented custom optimized SQL where… Show more Backend Ruby on Rails DeveloperCreated a suite of utilities to address common customer pain points including data migration in and out of the software. Developed a user impersonation tool to benevolently hijack user sessions in order for customer success representatives to more easily diagnose issues. Unit test, git, and linting best practices were observed in all work.Tracked down slow queries generated by ActiveRecord and implemented custom optimized SQL where necessary.Participated in a training program for new hires focusing on rapidly familiarizing them with our software stack and data architectureParticipated in creating a code style guide.Had a really good time participating in all hack days and team outings Show less

Developed a stress testing platform focusing on creating hostile network conditions. Created a Netflix style ‘Chaos Monkey’Measured all results on simulated environment to better understand application recovery conditions.