Matthew Fay

Matthew Fay Email and Phone Number

Data Scientist @ Datadog @ Datadog
New York
Matthew Fay's Location
New York, New York, United States, United States
Matthew Fay's Contact Details

Matthew Fay personal email

n/a
About Matthew Fay

Data scientist with interdisciplinary skillset, passionate about extracting insights from complex data and leveraging them for business impact. Proactive problem-solver with 4 years background in statistics and modeling in the context of pharmaceutical research. Strong communication skills and aptitude for simplifying complex ideas honed by teaching experience in several domains, including data science. Fluent in Python and SQL and skilled in machine learning.

Matthew Fay's Current Company Details
Datadog

Datadog

View
Data Scientist @ Datadog
New York
Website:
datadoghq.com
Employees:
1
Matthew Fay Work Experience Details
  • Datadog
    Data Scientist Ii
    Datadog Jun 2023 - Present
    New York, Ny, Us
    Conversion propensity modeling for ad targeting:• Increased lead conversion rate by 30% in Google Ads campaigns spanning $3M annual marketing spend.• Trained gradient boosting model to predict lead conversion with >85% AUC using CRM, engagement, and product usage data.• Built automated ETL, feature engineering, and inference pipelines using Python, Snowflake, and DBT to generate propensity scores for new leads and upload to Google.Revenue forecasting with timeseries ML:• Developed revenue forecasting model used by go-to-market leadership for strategic decision-making, account prioritization, and sales quota setting.• Forecasted revenue across 3000+ enterprise customers with median errors of 12% at an annual horizon and 5% at a quarterly horizon.• Designed recursive graph traversal method to handle revenue attribution and improve training data continuity for customers who switched account IDs.
  • Datadog
    Data Scientist
    Datadog Feb 2022 - Jun 2023
    New York, Ny, Us
  • Nyc Data Science Academy
    Data Science Fellow, Assistant Instructor
    Nyc Data Science Academy 2021 - 2022
    New York, Ny, Us
    • Forecasted time series of US rent price by zip code using XGBoost, ARIMA, and Lasso models, with mean error under $100/month across 1300+ zip codes. Integrated data sources including Google Trends, bike sharing services, and the US Census. Reported to real estate intelligence firm Markerr with assessment of the predictive value of each data source and best candidates for inclusion in their internal models.• Predicted house sale prices in Ames, Iowa with 95%+ accuracy and developed an interactive house-flipping dashboard allowing virtual modification of a home and visualization of projected changes in price. Integrated geospatial data from OpenStreetMap and deployed models including Lasso regression, gradient boosting, support vector machines, and stacked ensembling.• Scraped OpenTable data on all restaurants in NYC to extract 25 features per restaurant, visualized trends in cuisine preferences and user ratings, and identified key factors in maximizing OpenTable bookings using linear regression.• As assistant instructor, led sessions to reinforce concepts spanning Python and R coding, advanced statistics, gradient descent, and machine learning algorithms. Mentored student data science projects in direction and technical implementation.
  • The Princeton Review
    Chemistry Instructor
    The Princeton Review 2019 - 2021
    New York, Ny, Us
    • Designed and delivered series of lectures on university-level chemistry topics to premedical students.• Tailored communication based on learning styles, knowledge levels, and personalities of audience.
  • University Of North Carolina At Chapel Hill
    Research Fellow
    University Of North Carolina At Chapel Hill 2013 - 2016
    Chapel Hill, Nc, Us
    • Modeled drug metabolism using nonlinear regression and drew conclusions on experimental outcomes via statistical A/B testing.• Coordinated with multiple specialized laboratories to bridge knowledge gaps as needed for different stages of the project.• Drove project planning and direction, and communicated research findings as primary author of publication.• First ever undergraduate presenter accepted to Gordon Research Conference on Drug Metabolism.

Matthew Fay Skills

Research Teaching Quantitative Research Leadership Analytical Chemistry In Vitro Metabolism Hplc Mass Spectrometry Qrt Pcr Microsome Isolation Genotyping Spectroscopy Organizational Budgeting Public Speaking Endnotes And Mendeley

Matthew Fay Education Details

  • New York University
    New York University
    Computer Science
  • Albert Einstein College Of Medicine
    Albert Einstein College Of Medicine
    Md-Phd Candidate
  • University Of North Carolina At Chapel Hill
    University Of North Carolina At Chapel Hill
    Chemistry

Frequently Asked Questions about Matthew Fay

What company does Matthew Fay work for?

Matthew Fay works for Datadog

What is Matthew Fay's role at the current company?

Matthew Fay's current role is Data Scientist @ Datadog.

What is Matthew Fay's email address?

Matthew Fay's email address is matthew.fay@yu.edu

What schools did Matthew Fay attend?

Matthew Fay attended New York University, Albert Einstein College Of Medicine, University Of North Carolina At Chapel Hill.

What skills is Matthew Fay known for?

Matthew Fay has skills like Research, Teaching, Quantitative Research, Leadership, Analytical Chemistry, In Vitro Metabolism, Hplc, Mass Spectrometry, Qrt Pcr, Microsome Isolation, Genotyping, Spectroscopy.

Who are Matthew Fay's colleagues?

Matthew Fay's colleagues are David Redfield, Sergey Weinstein, Guo Zhili, Niall Hart, Sara Vanderwaal, Mirza Nurkic, Matt Westrick.

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