Experience

Profit Recovery Partners

• United States
• Business Consulting and Services
• 1 - 100 Employee

• Data Science & Visualization Analyst

  • Feb 2022 - Present

  • Work closely with solution management and strategy development teams to identify market opportunities, utilizing Python, SQL, and Tableau to perform big data transformation and visualization, creating analytics reports to tell the business narrative and offer actionable recommendations. • Manage and maintenance 300 Tableau dashboards for over 100 clients. • Troubleshoot issues across databases and identify opportunities to enhance server performance and reduce system downtime. • Work closely with solution management and strategy development teams to identify market opportunities, utilizing Python, SQL, and Tableau to perform big data transformation and visualization, creating analytics reports to tell the business narrative and offer actionable recommendations. • Manage and maintenance 300 Tableau dashboards for over 100 clients. • Troubleshoot issues across databases and identify opportunities to enhance server performance and reduce system downtime.



Duke University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • May 2021 - Dec 2021

  • Research Assistant for Professor John de Figueiredo and Professor Brian Silverman. • Aim to examine how the political affiliations of businesses in the United States affect the teams they form, the technologies they pursue, and the productivity and success of their innovative efforts. • Scraped 300k+ companies’ information from California, Ohio, and Texas Secretary of State’s websites with Python and Selenium, bypassed CAPTCHA using speech recognition, and provided professors with data sets of high research value. Show less



Donaldson

• United States
• Industrial Machinery Manufacturing
• 700 & Above Employee

• Financial Planning & Analysis Internship

  • Jun 2019 - Aug 2019

  • Collected and investigated data on monthly sales. • Designed machine learning models such as gradient boosting, neural network, and random forest to improve sales forecast accuracy from ~70 to ~80 percent with consistency. • Visually represented the forecasted results with Tableau, providing visibility and insights to operational and management teams. • Collected and investigated data on monthly sales. • Designed machine learning models such as gradient boosting, neural network, and random forest to improve sales forecast accuracy from ~70 to ~80 percent with consistency. • Visually represented the forecasted results with Tableau, providing visibility and insights to operational and management teams.