- Use data science and work with product, engineering, UX, marketing, and finance to improve the way that over 1 million merchants run their businesses- Use data to inform product strategy and roadmap- Create product dashboards using SQL, Python, and Mode Analytics- Design schemas and prototype data models in SQL using Presto/Trino and Google BigQuery- Create automated jobs to load modeled datasets into enterprise data warehouse using PySpark and DBT- Conduct ad-hoc statistical analyses

• Developed robust and reusable model-build pipelines, enabling rapid refits and rebuilds of behavior and valuations models using Python, Pandas, Dask, Spark, SQL, Airflow, Jupyter, Docker, and Amazon Web Services• Developed statistical drivers for financial forecasting and valuations surrounding credit risk and customer spend using linear and logistic regression, as well as residual modeling• Analyzed the impact of COVID-19 on our customer portfolio to help inform credit policy• Implemented isolation forests for unsupervised anomaly detection to profile risk• Implemented automated monitoring of behavior models by evaluating quarter-over-quarter, year-over-year performance using PySpark, Snowflake, and Databricks

Productionized machine learning capabilities for digital marketing and content personalization:- API development using Java/Spring and Scala- Development on pipeline for data aggregation and processing using Scala and Spark- Data analysis of first- and third-party data using Python (Pandas, Pyspark), Scala (Spark) and Databricks- Data visualization using Tableau- CI/CD using Amazon Web Services (AWS), Docker, Jenkins, Chef

- Worked in an agile environment to develop RESTful APIs for fraud prevention and identity verification- Full-stack development consisting of Angular 2, Java/Spring, MySQL- Maintained, troubleshooted, and enhanced cloud infrastructure using Amazon Web Services, Chef, and Jenkins

Developed in C++ and Java in a Linux environment for a critical submarine combat system:- Used widgets and the observer pattern for graphical programming- Used Google Protocol Buffers for inter-process communication- Made enhancements, modifications, and bug fixes to large, existing code base- Documented code and collaborated with other engineers using configuration management

Conduct basic research on Linux environments and Linux-based programming environments/tools:- Bash scripting to automate installation processes- Explore different kernel emulators to virtualize multi-kernel Linux OS- Benchmark and modify opensource applications on KairosVM (the group's hypervisor-level real-time resource manager targeting multicore architectures) to demonstrated improved performance. Sponsored by the Naval Engineering Education Center (NEEC: goneec.org).www.ssrg.ece.vt.edu

Created Python scripts to- process git repositories to conduct software metrics- automate the parsing of large text documents to generate simulation files- provide support to the Navy during the software development phaseDebugged GUI application written in Ada to integrate with newer hardware