Roberto Bertolini

About Roberto Bertolini

Lifelong learner, enthusiastic team player, active listener and communicator, I am a data scientist focused on providing interpretable and actionable data-driven solutions. I have partnered with senior Fortune 500 leadership and academic stakeholders on machine learning, applied statistics, and processing automation projects. Personal Snapshot: Cross-Functional Business Partner: Recognized by executive leadership as a collaborator and leader who upholds corporate values. I possess an unwavering commitment to customer satisfaction, indicative of my organizational contributions to drive automation and growth. Data Science Leader: Proven track record of transforming, coaching, and empowering cross-functional teams to deliver multi-million-dollar, enterprise-wide innovative solutions. Applied Mathematician & Science Communicator: I am passionate about the decision-support side to data science and take pride in working with technical and non-technical stakeholders in Agile settings. Experience Snapshot: Lead 12 data science contractors in the development of in-house Hierarchical Bayesian Marketing Mix Models for three hair care brands at L’Oreal, reducing project delivery time by three months. Principal data scientist who automated production of a data management roadmap for Aflac Group\'s company-wide system migration, which helped to double the amount of premium placed on the new system in 12 months. Effective project manager with strong prioritization and organizational skills to execute on and manage requirements, shifting priorities, and adhere to business objectives and deadlines. Serve as a mentor to junior data scientists, new hires, and a summer corporate intern on project direction, delivery, and execution. Technical Skills Programming:o R (dplyr, tidyr, ggplot2, caret, tidyverse, rmarkdown) o Python (NumPy, Pandas, Matplotlib, seaborn, Scikit-learn)o SQL (MySQL, PostgreSQL) Visualization Software: Tableau, Exploratory Data Analysis Statistics: Machine Learning, Inferential Statistics, Classification, Regression, Bayesian, A/B Testing, Clustering, Feature Engineering, Dimensionality Reduction, Time Series Models/Algorithms: Regression, Regularization, Naïve Bayes, Decision Trees, Random Forest, Support Vector Machine, Neural Networks, k-Means, Hierarchical Clustering, XGBoost Big Data Ecosystems: Snowflake, Google BigQuery, Google Cloud Platform

Experience

1. Manager, Advanced Analytics

   L'Oréal

   Aug 2024 — Present · NY, US

   Lead 12 data science contractors in the development of Hierarchical Bayesian Marketing Mix Models for three professional hair care brands. Implemented data governance and quality assurance workflow management processes that reduced delivery by three months.• Improved a GCP web-based application in production by driving 15+ targeted updates.• Oversaw two contractors in the development and rollout of Incrementality Testing software in Python using GeoLift, Bayesian inference, and uplift modelling techniques. Applied this software to four unique campaigns yielding insights into future campaign optimizations and budget reallocation.

Education

• Stony Brook University

  Doctor of Philosophy - Ph.D.

• University of Rochester

  Bachelor of Science - B.S., Mathematics; Minors in Statistics and History

• Stony Brook University

  Master of Science - M.S.