Gabriel Caceres Email & Phone Number

Mountain View, CA, US

London, GB

London, GB

Leading teams developing GenAI solutions. Involved with hands-on Python development as well as designing and architecting solutions. Example projects include summarization, search over knowledge bases, and agents leveraging external APIs.

New York, New York, US

• Collaborate with cross-functional stakeholders to identify product development and growth opportunities
• Run machine learning and statistical analyses to inform the direction of product, marketing, and business growth
• Design, analyze, and consult on A/B tests to evaluate how decisions and changes affect teachers using our online marketplace as well as schools on our subscription serviceSample projects:
• Defined an ideal assignment rate for resources to be considered a good fit for our digital tools using historical data. A/B tests showed an increased in these activities being assigned to students when displaying.
• Created user segments by clustering purchasing habits and subject interests to define groups for tracking KPIs and guiding follow-up work by the user research team.
• Developed and deployed a machine learning model to predict whether users would interact with site banners in order to better customize content.

New York, New York, US

New York, New York, US

• Client facing role leading data science projects to deliver insights and empower businesses to make data-driven decisions through the use of machine learning and statistical analyses.
• Develop machine learning pipelines using proprietary software for feature engineering and modeling, as well as using open source packages in R (e.g. ggplot & shiny for visualizations; data.table & ff to manage large.
• Communicate with business stakeholders to understand commercial processes, identify relevant KPIs and available data, and scope data science solutions, as well as presenting results.Example Projects:
• Media project to determine TV advertisers’ cost sensitivity to inform future changes in spot pricing.􏰀 Estimated price elasticity of each client using a mixed-effects model, controlling for external factors like.
• Retail project to segment clients and provide product recommendations for ∼50,000 stores.􏰀 Clustered customers with similar buying patters and forecasted product sales.􏰀 Created Shiny dashboard to visualize store.

University Park, PA, US

• Doctoral Dissertation in Astronomy & Astrophysics
• Searching for exoplanets in time-series data from NASA’s Kepler satellite using autoregressive models and matched filtering.
• Removed stellar variability using ARIMA models on over 150,000 stars, each with 70,000 points of equally spaced time-series data (including ∼15% missing values)—reduced from 1 TB of FITS-formatted data.
• Designed and implemented matched-filter algorithm to detect transiting exoplanets.
• Identified 97 potential new planets using a Random Forest classifier and ROC curves applied to highly imbalanced training data.Research project in Industrial Engineering & Operations Research
• Study of the NP-hard single-machine scheduling problem of how to optimally order a sequence of jobs needing to be processed.

Batavia, IL, US

Batavia, IL, US

Batavia, IL, US

Chicago, IL, US

Doctor Of Philosophy (Phd), Astrophysics

Bachelor Of Arts (B.A.), Physics, Mathematics, Philosophy