Roberto Bertolini, Ph.D. Email and Phone Number
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 academic stakeholders and senior Fortune 500 leadership on machine learning, applied statistics, and processing automation projects.📌 Personal Snapshot:💡 Cross-Functional Business Partner: Recognized by executive leadership as a collaborator who upholds corporate values. I possess an unwavering commitment to customer satisfaction, indicative of my organizational contributions to drive automation and business growth.💡 Applied Mathematician & Science Communicator: I enjoy numbers and programming. 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. 💡 Native New Yorker & First-Generation American: Appreciate new cultures and connecting with individuals from diverse backgrounds and experiences.📌 Experience Snapshot:✔️ Principal data scientist who automated production of a data management roadmap for Aflac Group's company-wide system migration, doubling the amount of premium placed on the new system in 12 months. ✔️ Developed and deployed machine learning data modeling/mining pipelines for an early warning system to forecast STEM undergraduate classroom success at Stony Brook University.✔️ Effective project manager with strong prioritization and organizational skills to execute on and manage requirements, shifting priorities, and adhere to Aflac's business objectives and deadlines.✔️ Lead analytics teams at Aflac in automating manual data assets via Tableau and self-service tools, increasing team reporting efficiency by ~10%.✔️ Mentor to junior data scientists, a summer corporate intern, and four undergraduate researchers 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
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Manager, Advanced AnalyticsL'Oréal Aug 2024 - PresentNew York, United States -
Data Science ConsultantAflac Group Insurance Nov 2021 - Aug 2024• Strategically developed and refined an automated data management roadmap for a company-wide system migration, using SQL and Python, to schedule customers for migration.• In 12 months, the data management roadmap and scheduler doubled the amount of premium migrated to the new system due to more streamlined and accurate data tracking.• Spearheaded a self-service analytics initiative by leading a team of data scientists to convert manual recurring data-driven assets and reports into Tableau dashboards.• Applied machine learning and time series models in R to forecast future business volumes and allocate a suitable number of full-time employees needed for production management and widget processing.• These models were used by four major business units to make budgeting and staffing adjustments, accounting for 74% of non-leadership employees across the organization.• Responsible for mentorship, project direction, planning, and delivery for a summer intern on a Python project using machine learning to develop staffing/capacity models for the Billing & Account Solutions area. -
Data ScientistAltice Usa Jun 2021 - Oct 2021• Used Markov chains and multi-touch attribution models to quantify the likelihood of customers upgrading to different internet packages based on their exposure to a series of advertisements and solicitations.• Completed 10+ recurring and ad-hoc SQL customer data requests for the mobile marketing team.• Conducted literature reviews on the usage of machine learning in marketing. Annotated, condensed, and streamlined 5+ existing R and Python coding scripts for more efficient team usage. -
Data Science ResearcherStony Brook University Jun 2018 - Jun 2021Greater New York City Area- Work with university faculty from 10 departments to develop a data mining early-warning system capable of identifying students at risk of performing poorly on a mathematics placement examination- Incorporated elastic net regression and ensemble machine learning algorithms to forecast and identify pre-baccalaureate factors associated with student performance in the collegiate biology classroom- Developed a consensus ranking methodology integrating filter feature selection techniques with cross-validation -
Graduate Student InstructorStony Brook University Jan 2020 - Jul 2020Stony Brook, New York, United States- Applied Calculus III (Online) and Data Analysis (In-Person)- Devised curricula and course content for lecture-based and online course- Held weekly office hours, created and graded student homework assignments, project, and examinations
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Graduate Research MentorStony Brook University Sep 2018 - Dec 2019Greater New York City AreaSupervise and mentor four undergraduate students on a longitudinal data analysis project using Sankey plots to examine the mathematics course trajectories of students following a remedial course intervention.
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Graduate Teaching AssistantStony Brook University Aug 2017 - Dec 2018Greater New York City Area- Applied Linear Algebra (Fall 2017, Spring 2018, and Fall 2018)- Held weekly office hours, graded examinations, and homework assignments- Lecture preparation and delivery to 200+ students
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Scientific Data Management InternBerkeley Lab Jun 2017 - Aug 2017Berkeley, California- Used an iterative forward selection mechanism to model pipeline execution time in scientific cluster systems- Compared performance using three evaluation metrics to an exhaustive search algorithm which yielded the same set of significant predictors
Roberto Bertolini, Ph.D. Education Details
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Applied Mathematics & Statistics
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Applied Mathematics & Statistics
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Bachelor Of Science - B.S., Mathematics; Minors In Statistics And History
Frequently Asked Questions about Roberto Bertolini, Ph.D.
What company does Roberto Bertolini, Ph.D. work for?
Roberto Bertolini, Ph.D. works for L'oréal
What is Roberto Bertolini, Ph.D.'s role at the current company?
Roberto Bertolini, Ph.D.'s current role is Data Scientist | Advanced Analytics Leader | Cross-Functional Collaborator | Applied Mathematician.
What schools did Roberto Bertolini, Ph.D. attend?
Roberto Bertolini, Ph.D. attended Stony Brook University, Stony Brook University, University Of Rochester.
Who are Roberto Bertolini, Ph.D.'s colleagues?
Roberto Bertolini, Ph.D.'s colleagues are Alberto Muriel García, Julia Becker, Hélène Venzac, Nina Sjøberg, Angélique Fruchtenreich, Zaid Mustafa, Awalya Tiffany Joenetha.
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