Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Anthony Tiburcio

Anthony Tiburcio

San Francisco,CA

Summary

Experienced data scientist with a strong background in machine learning, LLMs, statistical analysis, and data visualization. Recognized for adept problem-solving skills, and clear communication capabilities in fast-paced settings. Possess a 'product owner/manager' mindset. Demonstrated experience in developing production-grade backend API endpoints in Golang and Python to efficiently scale and handle high volumes of daily traffic.

Overview

13
13
years of professional experience

Work History

Senior Data Scientist

Red Ventures
12.2023 - Current
  • Lead the technical delivery of machine learning-driven solutions for Fortune 500 clients that have contributed to a 30% average annualized growth in marketing funnels.
  • Design and develop compound AI-systems that have reduced time spent by 20-30%, leveraging Large Language Models (LLMs) to distill complex data analysis for our owned and operated digital properties, including Bankrate, The Points Guy, and Lonely Planet.
  • Engineered and deployed a new exploration algorithm API in Go for our contextual bandits, incorporating a decaying epsilon strategy to enhance the real time decisioning our models make.
  • Developed and optimized distributed machine learning workflows for hyperparameter tuning using Optuna, improving the predictive accuracy of 50+ SOC 2-compliant model API endpoints, deployed at scale on Amazon EKS.
  • Manage data science resources delivering on an LLM powered website for large, well-known Telecom clients.
  • Drive collaborative innovation across teams (Engineering, Product, Marketing) to integrate machine learning and AI solutions that meet business goals and improved decision-making.
  • Mentor junior data scientists and engineers through Red Ventures' Data Science Accelerator Program, teaching advanced ML methodologies, fostering knowledge sharing, and driving adoption of best practices.

Senior Data Analyst

Red Ventures
01.2020 - 12.2023
  • Technical lead on a 6 person team, implementing data science solutions for both internal and external stakeholders.
  • Deployed and managed Machine Learning API endpoints ranging from NLP-based topic models (TF-IDF or open source vector embeddings like all-MiniLM-L6-v2), regression and classification, significantly boosting revenue generation for our Fortune 100 financial services clients.
  • Designed and implemented a classification model that improved click-through rates (CTR) by 80%, leading to a substantial increase in user engagement and additional revenue of $150,000/month.
  • Conducted a survival analysis, identifying which of the company's 80,000 URLs required updates to maximize revenue, streamlining content management strategies and saving journalist bandwidth.
  • Collaborated with cross-functional teams to provide data-driven insights and refine model development processes, ensuring the scalability of ML solutions.

Senior Business Intelligence Analyst

Paramount
06.2019 - 01.2020
  • Transformed large data sets (10+TB) into meaningful insights and built quality data visualization tools using SQL, Python, R, Adobe Analytics, Looker, Data Studio, Tableau, and Google Sheets.
  • Managed $17 million/year AVG in direct sold advertisement revenue.

Business Intelligence Analyst

Paramount
05.2017 - 06.2019
  • Advised clients as a subject matter expert in ad effectiveness, audience analysis and user behavior.
  • Generated high quality data analysis using SQL, python and machine learning techniques.

Microsoft-IT Consultant

Hitachi Consulting
04.2015 - 11.2016
  • Gathered business requirements with client, defined scope of project and executed on deliverables.
  • Orchestrated a 6 person QA team in India and ensured our custom website was built to specs.
  • Triaged issues and prioritized bug fixes in a timely manner.

Revenue Optimization Analyst

T-mobile
06.2012 - 04.2015
  • Conducted holistic roaming analysis with savings of $6 million/year to T-Mobile.
  • Presented findings to Walmart and achieved buy in on custom analysis.

Education

Bachelor's Degree - Finance, Minor Economics

Seattle University
Seattle, WA
05.2012

Skills

  • Python
  • Golang
  • Pyspark/Scala
  • LangGraph
  • Classification/Regression
  • Unsupervised machine learning
  • Reinforcement learning
  • Bayesian inference

Timeline

Senior Data Scientist

Red Ventures
12.2023 - Current

Senior Data Analyst

Red Ventures
01.2020 - 12.2023

Senior Business Intelligence Analyst

Paramount
06.2019 - 01.2020

Business Intelligence Analyst

Paramount
05.2017 - 06.2019

Microsoft-IT Consultant

Hitachi Consulting
04.2015 - 11.2016

Revenue Optimization Analyst

T-mobile
06.2012 - 04.2015

Bachelor's Degree - Finance, Minor Economics

Seattle University