● Worked with FAANG client performing A/B testing to measure sentiment and ad campaign lift in R, designing experiments on their in-house tools● Architected AWS Solutions and optimized ETL using Python and PySpark for end-user Tableau dashboard consumption● Re-wrote and optimized the daily Salesforce data refresh into a modular, incremental, AWS Glue PySpark job with considerations to efficient memory management● Worked with Python geospatial data packages within AWS Glue and created a custom workflow for cluster mapping using REST Api and .hyper Tableau extract● Data Ops, troubleshooting data anomalies in AWS Athena and implemented passive SNS alert notification for workflow script failures● Converted SQL Reports for Health Insurance to cloud mapping, documenting issues and proposed technical solutions

Health Insurance Client:● Performed data profiling using Excel, SAS, and SQL as part of a large Data Strategy team.● Data Science architect for internal project: Identified, designed and coded an NLP classification solution using Python to suggest restricted code tags, automating a highly manual process● Became a subject matter expert for the Reference Data Management system and architecture, integrating 130+ different code sets for a high-visibility data feed for a third party vendor

● Working with the Assortment Merchandising department of a top 100 Global Retailer to design a tool to better optimize the assortment rationalization process● Implementing Test/Control store framework and workshops to lead consumption among multiple business users providing a case study for measurable impact and increased tool adoption● Designed learning plan and trained new Chinese hires in cross-cultural, data analytics, SQL, excel, and business

Built a data engineering/data science proof of concept in Python and R for a client in the nuclear energy generation industry providing actionable insights to improve the engineering team's design decisions.● Project saving $2 million annually through down-time reduction and more efficient fuel utilization● Coded an automated ETL pipeline for data acquisition, transformation in Python, with modeling in R, and backend integration with user interface● Responsible in training new team members in nuclear physics, data, and reactor theory● Data Scientist of a 5 member hackathon team at GE Digital’s Predix Conference 2017: Conceptualized transportation problem idea, data cleaning, and analysis

Mu Sigma University Rotational Program: 6 months spent in Bangalore, India developing a core competency in database/programming languages and tools including SQL, R, Excel, and Python. Acquired cross-cultural team and project management skills in preparation for a business consulting role, harnessing statistical analysis and assisting clients derive value from their company's data.Highlights:● Created a targeted marketing campaign for a client in the energy retail industry● Market-identification of likely adopters of a new grocery pickup service for a global retailer● Over two months optimized the supply chain of one of the world's largest medical device manufacturers through creating, writing demand forecasting models as well as teaching my team forecasting principles and theory

Assisted first-year students in their transition to college while living in the Residence halls as a Resident Assistant. Serve as a mentor and role model in order to ensure student's academic, social, and personal success. Enforce the policies of the ISU Department of Residence.Worked as a community adviser managing Devitt, a coed hall in Linden of men and women, a cross-cultural learning community with both American students as well as other nationalities. Conflict management and led hall government's activities.Summer 2015: Resident Adviser with the summer APEX program, advised and mentored floor with 62 incoming minority Freshmen in their transition from High School to College.

Worked in the Mathematics and Computational Engineering division of RWTH successfully completing a project optimizing the mathematical modeling of rarefied gases.

Worked 72 hours a week for 6 months in a USPS National Distribution Center sorting and loading containers of packages on to mail trucks. Required self-management, great attention to detail, safety and efficiency.