Experience

Public Goods

• United States
• Manufacturing
• 1 - 100 Employee

• Data Scientist

  • Oct 2020 - Present



NYC Data Science Academy

• United States
• Higher Education
• 1 - 100 Employee

• Data Science Fellow

  • Mar 2020 - Oct 2020

  • Created tree-based model to predict CAGR of subprime loans from LendingClub; created portfolio with annualized returns of 5%• Built 93% accurate house pricing model using penalized regression and tree-based model from dataset of 1460 homes• Developed insights for brands in Amazon’s shampoo category using Python Pandas from data collected with Scrapy • Made R Shiny app with overview of cryptocurrency market and custom portfolio generator with time-series valuation • Created tree-based model to predict CAGR of subprime loans from LendingClub; created portfolio with annualized returns of 5%• Built 93% accurate house pricing model using penalized regression and tree-based model from dataset of 1460 homes• Developed insights for brands in Amazon’s shampoo category using Python Pandas from data collected with Scrapy • Made R Shiny app with overview of cryptocurrency market and custom portfolio generator with time-series valuation



Walmart

• United States
• Retail
• 700 & Above Employee

• Category Specialist

  • May 2018 - Mar 2020

  • Manage $MM dollar dog grooming, training and cleaning category• Responsible for growing category assortment; work with vendor management teams through on-boarding process and initial ordering• Strengthen business of existing vendors by developing, pitching and executing plans for assortment improvement and promotion funding• Have improved category in-stock rate from 85% to 95% by working with vendors to improve fill rates, using sales data to improve forecasting and collaborating with supply chain to implement new forecasts• Leverage site traffic data to design experience, increase conversion, grow SEO traffic and improve SEM efficiency



United States Attorneys' Offices

• United States
• Law Practice
• 700 & Above Employee

• Intern

  • May 2016 - Aug 2016

  • Supported trial-preps for assistant US Attorneys by analyzing & organizing case exhibits and evidence• Supported civil rights cases by investigating civil complaints stemming from public institutions such as schools and prisons • Participated in the office’s community outreach program through planning and set-up for an LGBT community outreach event • Supported trial-preps for assistant US Attorneys by analyzing & organizing case exhibits and evidence• Supported civil rights cases by investigating civil complaints stemming from public institutions such as schools and prisons • Participated in the office’s community outreach program through planning and set-up for an LGBT community outreach event



Cushman & Wakefield

• United States
• Real Estate
• 700 & Above Employee

• Capital Markets Intern

  • May 2015 - Jul 2015

  • Developed multi-year financial projections and valuations for hotel 5 properties across U.S by comparing internal performance data with market trends • Identified and studied economic demand drivers for proposed hotel development projects• Wrote offering memorandums, ranging from 50 to 100 pages for several projects for potential investors; included detailed regional economic and hotel market overviews, property highlights, and financial projections and summaries • Developed multi-year financial projections and valuations for hotel 5 properties across U.S by comparing internal performance data with market trends • Identified and studied economic demand drivers for proposed hotel development projects• Wrote offering memorandums, ranging from 50 to 100 pages for several projects for potential investors; included detailed regional economic and hotel market overviews, property highlights, and financial projections and summaries



GuestMetrics, LLC.

• United States
• Information Technology & Services
• 1 - 100 Employee

• Intern

  • May 2014 - Jul 2014

  • Analyzed sales data from the GuestMetrics database which consisted of data from 1M+ of point-of-sale transactions from restaurant locations across the country• Created 5 presentations with 50 to 100 slides for companies including TGI Friday’s and Dave & Busters that displayed food and beverage trends across their locations• Determined relationships between on-premise and off-premise sales for beer and liquor brands using data from GuestMetics and third party sources• Trained interns on GuestMetric’s systems and analysis process



GuestMetrics, LLC.

• United States
• Information Technology & Services
• 1 - 100 Employee

• Intern

  • May 2013 - Aug 2013

  • Analyzed sales data from the GuestMetrics database which consisted of data from 1M+ of point-of-sale transactions from restaurant locations across the country• Created 5 presentations with 50 to 100 slides for companies including TGI Friday’s and Dave & Busters that displayed food and beverage trends across their locations• Determined relationships between on-premise and off-premise sales for beer and liquor brands using data from GuestMetics and third party sources• Trained interns on GuestMetric’s systems and analysis process