Greg Faletto Email & Phone Number

San Francisco, CA, US

Los Angeles, California, United States

• Create methodologies using advanced but interpretable causal inference techniques (including double machine learning, instrumental variables, & difference-in-differences) to estimate lift of ad campaigns on.
• Inspect data quality using tools like exploratory analysis and feature importance metrics to ensure superior model performance.
• Collaborate across teams to better understand data and clients’ priorities to direct my efforts.
• Created tool to compare viewing metrics under actual ad schedule vs. alternative to demonstrate the value of targeting.
• Produce & maintain documentation. Communicate complex data analysis results to stakeholders (presentations, writing).
• Proactive identify problems and clearly communicate early to solve. Identify and communicate blockers.

Los Angeles, California, United States

• Proposed a novel model using causal inference techniques (propensity score matching), survival analysis (accelerated failure time model), and classification to estimate a KPI which previously had no estimator..
• Use SQL (Snowflake). Clean data and code Python models using Jupyter notebooks, Spark (PySpark), Snowpark, VS Code.

Los Angeles, California, United States

• Full-time data science researcher and lecturer Jan. 2021-May 2023; part-time research assistant Jan. 2019-Dec. 2020.
• Designed, coded, and tested novel methods for top venues (International Conference on Machine Learning, PNAS). (1) [ICML 2023] PRESTO estimates rare event probabilities, like probability of purchase after viewing an ad.
• Created a novel recommendation system with a startup. Used matrix completion to estimate factors of an approximately low-rank matrix, and harnessed learned factors in a model estimating click probabilities, improving.
• Taught 100 students $375,000 worth of courses on analytics in Excel & JMP (SAS); making dashboards; communicating results.

Los Angeles, California, United States

• Designed, programmed simulation studies in Python to quantify flaw in prior method for estimating A/B test treatment effects. Crafted specific solution from problem description. Created a new method for treatment.
• Coordinated with team, responding to and incorporating broad-strokes objectives, informal feedback, and formal code reviews.
• Reduced bias and MSE of treatment effect estimates by over 99% in simulations, while controlling Type I error rate much better.
• Submitted 4000 lines of documented, reviewed Python code to Google codebase implementing method and simulation studies.

Greater Los Angeles Area

I tutored middle school through adult students (and all ages in between) in physics, math (including calculus and college-level statistics), chemistry, and test prep (SAT, ACT, SSAT, ISEE, etc).

Greater Los Angeles Area

• Using R, developed a model to predict whether a job seeker will apply to a given job listing to infer preferences for listed perks.
• Accessed data via SQL. Chose observational study design and model form. Conceived outcome metric, constructed from raw data.
• Final deliverable was approximately 3500 lines of R code and a written report.

Los Angeles, CA

Clients include musicians (Stevie Wonder, Lady Gaga, John Mayer, Nas, Panic! At The Disco, Travis Barker, etc.), comedians (Dave Chappelle, Tig Notaro, Jerrod Carmichael, etc.), and companies (Adobe, Activision, Variety Magazine, United Talent Agency, Ketel One, etc.).Responsible for making great events happen by handling a wide variety of technical issues.

Greater Los Angeles Area

Working remotely, independently created and implemented a time series algorithm in R to predict future concert set lists of bands based on past set list data. A description of how it works is attached. You can also view the code and the summary of how it works at https://github.com/gregfaletto/setlistpredictor.

Doctor Of Philosophy - Phd, Data Science And Operations

• Selected coursework: regression & generalized linear models, causal inference, econometrics, panel data modeling, statistical inference.

Bachelor Of Arts (B.A.), Physics, 3.85 Gpa

• Graduated Phi Beta Kappa and with College Honors in Arts and Sciences. Dean's List every semester. • Recipient of National Merit.

Physics