• Implemented advanced analytics techniques using Python, including unsupervised machine learning, to identify potentially anomalous transactions and employees for review by an S&P 500 Oil & Gas Company's Internal Audit function• Tested 10+ controls focused on mitigating content and integrity risks for a global technology conglomerate and led walkthroughs with control owners to confirm the 30+ issues that he identified

• Led technical design for a SaaS platform delivering governance, risk, and compliance solutions (e.g., financial controls testing) to 500+ users globally and generating over $1.6 million in revenue across 11 Agile sprints• Produced 10+ executive reports of advanced analytics outcomes, presented findings to key client stakeholders (e.g., CIO, VP Health & Safety), and designed Power BI dashboards to provide timely access to actionable insights for an S&P 500 mining company’s Health & Safety program• Designed a set of Tableau dashboards to provide a national industry trade association with information on pathways to a lower emissions future which have been used by 100+ executives from 40 of the association’s Member Companies

Data Science GroupOptimal Solutions Group, LLC is a nonpartisan public policy and data analytics firm located in the University of Maryland Discovery District. Summer 2020 Highlights:• Improved a Data Scientist’s web scraping program in Python by reducing its run-time by approximately 93% and resolving bugs to streamline data collection process• Programmatically extracted 2,278 solicitation documents from the web using Selenium in Python to provide textual data for the development of an automated government procurement decision support tool supporting procurement officials’ identification of qualified vendors Fall 2020 Highlights:• Composed a nine-page technical proposal responding to a Request for Proposal (RFP) to build an AI-enabled platform for gathering relevant and up-to-date ecosystem information for Maryland entrepreneurs• Contributed to the firm’s acquisition of Maryland Industrial Partnerships (MIPS) project funding valued at $28,058 by formulating a 61-slide PowerPoint pitching an automated government procurement decision support tool to MIPS’ DirectorWinter 2020 Highlights:• Leveraged concepts from set theory and feature engineering to formulate and programmatically generate 436 numeric, federal agency-level variables in Python incorporated into a structural equation model used to measure the effectiveness of the revised small business scorecard methodology across fiscal years 2014-2019• Drafted the “Literature Review” and “Limitations” sections of Optimal’s 147-page Small Business Procurement Scorecard Evaluation Report prepared for the U.S. Small Business Administration

• Selected as one of 350 for an 18-month professional development program for high-achieving diverse talent• Completed business case studies and projects to hone analytical, quantitative and communication skills• Participated in four professional development conferences hosted by industry leaders, such as Deloitte, Google, Goldman Sachs, Procter & Gamble and Target

Invitation-only professional development program for exceptional African American students.Awarded to top 3% of applicants.

Risk and Financial Advisory | Forensic | Forensic AnalyticsAssisting consultants and data engineers with data extraction, manipulation, and analysis, I supported the Program Integrity solutions group in detecting fraud, waste, and abuse for health care clients.Summer 2019 Highlights:• Applied feature engineering to group levels of a categorical variable for use in Program Integrity group predictive models• Developed a value estimation demo to inform Reporting and Analytics team of predictive modeling capabilities in Jupyter Notebook• Formulated three SQL scripts to extract anomalous medical insurance claims and document potential recoveries

Division of International Finance | International Financial StabilityAs a year-round intern, I contributed to economic research projects within the International Financial Stability section of the Division of International Finance. From Summer 2017 to Spring 2018, I focused on data collection and analysis of algorithms. Since then, programming and data manipulation in R were added to my daily responsibilities.Summer 2017 Highlights:• Researched the implementation of macroprudential tools from 64 countries to update an economist’s dataset of financial regulations• Utilized Microsoft Excel to match loan-level data (Thomas Reuters DealScan and Shared National Credit Program) and recommend changes to a research assistant’s loan-matching algorithmFall 2017 - Spring 2018 Highlights:• Summarized fifteen earnings conference calls from global systemically important banks (G-SIBS) to provide an economist with textual data regarding the content, format, and sentiment of the documents• Formulated a dataset tracking credit-to-GDP gaps, systemic crises, and additional crises for twenty six countries for predictive analysis of financial crisesSummer 2018 Highlights:• Implemented four natural language processing techniques using R to quantify the sentiment of 3,133 state bank examinations to predict future rating upgrades, downgrades, and institutional failures• Programmed an R script which created a panel dataset tracking 162 countries over 48 years to inform economists of systemic crisis timing for an economic briefing

Tutored a student through the Gossett Center for Academic & Personal Excellence at the University of Maryland, College ParkCourses included:• Object-Oriented Programming for Information Science• Database Design and Modeling

• Participated in the Intern Development Day and corresponding workshops (“Be Your Own Brand,” Presentation Skills, and Business Simulation Case Study)• Received one-on-one monthly leadership development coaching from INROADS Program Manager

• Received 50+ hours of individualized coaching and live instruction to achieve targeted interview, technical, and professional developmental goals• Completed industry-specific training and assessments focused on developing technical skills, institutional knowledge, and attention to detail

As a Team Leader, I worked on a team to enhance the functioning of College Success Scholars and promote the success of its freshman cohort.Highlights:• Mentored four African American and Hispanic males in developing professional, academic, and social skills• Planned and organized monthly events as well as overall program structure through weekly meetings• Monitored room and program components including tutorials, review sessions, study groups, and study sessions to ensure students were engaged and productive in their activities

LinkedIn Accelerate U is an annual event held in various cities across the country that allows selected students to connect with LinkedIn recruiters and professionals.Highlights:• Participated in various workshops including "How to Build Your Personal Brand," "Interviewing Essentials," and a non-technical hackathon• Developed and presented a hypothetical LinkedIn feature with three teammates to boost millennial membership and engagement on the platform

The David C. Driskell Center is a University of Maryland department honoring the legacy of David C. Driskell and preserving the legacy of African American visual art and culture.I worked during the Fall 2016 Semester, the Winter Term, and the Spring 2017 Semester. The experience greatly enhanced my writing ability, research aptitude, and interpersonal skills.Highlights:• Wrote and edited biographies of over 50 artists associated with the David C. Driskell Center for inclusion in the Center's PastPerfect Museum Software• Wrote a press release for "A Conversation with David C. Driskell" presented by KROMA Art Space & Studios and The David C. Driskell Center during Miami Art Week / Art Basel Miami Beach 2016• Synthesized research on 43 artworks to develop a physical gallery guide for tours of "Shifting: African American Women Artists and the Power of Their Gaze"