● Address diverse client needs by configuring neural networks and machine learning models across a variety of data applications, including natural language processing (question identification and answer parsing, named entity recognition, OCR) and ranking/risk assessment for insurance. ● Streamline analytics and transparency of results through fully-custom client-facing dashboards and navigable data portals.● Improve company’s insights and performance through an interactive, large-scale visualization to gauge data pipelines. ● Quickly gained proficiency in a new code base featuring an existing .NET architecture with a C#/SQL Server backend and AngularJS front-end to singlehandedly deliver a large scale, full-stack product feature within 2 months of starting.

● Developed a model to catalog and report Amazon Robotics’ Carbon Footprint from varied, incomplete, and ambiguous data. ● Leveraged Python (Pandas, NumPy, TableauAPI) scripts, SQL queries, and existing/new data pipelines from AWS data lakes, to access, clean, and analyze data. ● Compiled extensive documentation to communicate processes and handoff work.● Presented insights to company leadership through white papers and data visualization in Tableau dashboards to drive action.

● Researcher on NSF grant “Understanding and Advancing Fair Representation in Algorithmic Systems”● Investigated influences in credit ranking algorithms, determining areas that could lead to bias.● Reverse engineered existing models with Python machine learning and data-fitting libraries (Pandas, Numpy, Scikit-learn).●Built a React-based website which displayed and calculated scores according to alternative, researched models in order to make visible the “hidden” scoring factors and assumptions built into the system.

-Analyzed data from a major national airline to determine more efficient routes utilizing Python, SQL, and Tableau. -Recommended solutions to raise conversion rates for a mobile app by reviewing A/B test data.

● Streamlined the user experience for web applications used for satellite GPS data projects. ● Built an UI from scratch, integrating it into a changing backend. Conducted significant functionality updates.● Learned multiple new languages, frameworks, and two large existing codebases swiftly. ● Presented work weekly as part of a team on two projects, navigated these projects virtually, using Jira and GitHub.

Designed and programmed an e-commerce website using HTML, CSS, and Javascript, along with online platforms.

Assisted with teaching elementary and middle school age students VEX Robotics using the RobotC language.

-Educated 8 students in a variety of subjects, especially mathematics-improved grades from C to A+-advertised service and formed client base single-handedly.

● Improved the school district's ability to communicate with students, parents and teachers; Conceived, designed, and developed an app for iPhone & Android at request of the Superintendent.● Updated the district's technology infrastructure, resolved problems, and spearheaded an initiative to provide a Chromebook to every grade 7-12 student (1200 students). Promoted to supervise other student technology interns.

-Developed, maintained, and expanded own client network-Sold close to $3000 in less than a month.

Learned and exercised key elements of customer service and immediate problem solving.

Instituted a new digital organization system to make the law firm more efficient; Conducted research for ongoing cases and corresponded with clients, insurance companies, healthcare providers, and third-party corporations.