William C. Huguenin
Areas of Expertise
Programming
Python
SAS (certified)
Git
Databases & Cloud
SQL
AWS
Data Build Tool (dbt)
Python Libraries
Pandas
Scikit-Learn
NumPy
SciPy
StatsModels
BeautifulSoup
Matplotlib
Seaborn
Data Science & Analytics
Classification & Regression
Text Analytics
Clustering & Segmentation
Database ETL & Reporting
Web Scraping & APIs
Data Visualization
Tableau
Periscope Data
D3.js (basic)
Education
Metis Data Science Bootcamp
Data Science Certificate 2016
Tufts University
BA Quantitative Economics 2011
Magna Cum Laude
Experience
Gartner (formerly L2)
New York, NY
Sr. Principal, Quantitative Analytics and Data Science
04/2021 - Current

Research and advisory services benchmarking the digital performance of B2B/ B2C brands


  • Trained, validated, and deployed machine learning classifiers to assign Google search result data to brands, halving time required to prepare Google data for analysis.


  • Collaborated with analysts across Gartner's marketing practice (GML) to better integrate heritage L2 data assets into research focusing on content marketing, CX, and consumer insights.


Principal, Quantitative Analytics and Data Science
10/2018 - 03/2021
  • Built analytics reporting pipeline for Google search data using Data Build Tool (dbt), automating SEO/ SEM performance benchmarking product.


  • Improved rigor of influencer marketing analyses company-wide, increasing client engagement with earned media marketing content. Onboarded new data vendor, built quality assurance and reporting processes, and assisted with development of panel selection and benchmarking methodologies.


Sr. Specialist, Quantitative Analytics and Data Science
02/2017 - 09/2018

  • Enabled deeper social media marketing research for eight sector-specific reports by applying matrix factorization and k-means clustering techniques to segment Instagram posts by content strategy.


  • Reduced data analysis burden for Asia Pacific research by building pipelines to store, enrich, and report Chinese e-commerce and social media data.


Abt Associates
Bethesda, MD
Programmer Analyst, Social and Economic Policy
11/2014 - 03/2016

Mission-driven global leader in public policy research and program implementation


  • Developed data-driven improvements to deployment of pilot college advising program through analysis of college enrollment and retention outcomes for low-income students participating in federal college access programs. Recommendations resulted in $300,000 contract extension.


  • Promoted twice and six months ahead of schedule. Received six spot bonus awards recognizing outstanding quality of work on project management and data analysis.


Associate Analyst, Social and Economic Policy
08/2011 - 10/2014

  • Standardized and cleaned property transaction and foreclosure dataset consisting of millions of records for analysis of HUD community redevelopment programs.


Awards
Gartner for Marketers · Outstanding Thought Leadership in Quantitative Analytics & Data Science
01/2021

Awarded for work automating Gartner's Digital IQ research products, reducing time required to prepare a report from 600 to 240 hours without sacrificing research quality.