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General Information
| Name | Felipe Lorenzi |
| LorenziFelipe7@gmail.com | |
| linkedin.com/in/felipe-lorenzi | |
| Phone | (914) 844-9940 |
| Location | San Diego, CA |
Work Experience
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04.2024 – 09.2025 Graduate Student Researcher
UC San Diego - Conducted research investigating robust and trustworthy data analytics under Dr. Babak Salimi.
- Co-authored a paper submitted to VLDB 2025 introducing a framework for simulating data quality issues and exposing crucial vulnerabilities often overlooked in even the most robust ML pipelines.
- Led two research projects on conformal prediction, a robust uncertainty quantification method for AI/ML models.
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12.2022 – 10.2023 Data Analyst
Hagerty Consulting - Built tools and processes from scratch in Python, Excel, and VBA for regulatory compliance in an improvised, emergency response setting.
- Mediated communications with stakeholders and cross-functional teams belonging to four different organizations.
- Enhanced data collection processes for improved availability and accuracy while achieving speed ups of over 60%.
- Conducted QA/QC and developed remediation plans to reduce data discrepancy rates from over 10% to less than 5%.
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04.2022 – 07.2022 Data Scientist Intern
Neighborly - Utilized SQL, statistics, and machine learning models in Python to model franchise success rates in a self-led analysis.
- Presented analytical findings to C-suite executives and collaborated to conceive actionable insights.
- Streamlined survey design and data collection pipeline for efficiency and compatibility with future company datasets.
- Managed project timelines independently while working closely with the business intelligence team.
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06.2020 – 10.2020 Intern
Catavento Book Distributor - Trained and deployed a machine learning model in Python to rectify genre misclassifications of more than 30,000 books by leveraging natural language processing transformer models.
Projects
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2025 Data Management
- Data Management: Collaborated in a team of three to create recommender system trained on tens of millions of data points scraped from Goodreads using Python, Docker, PostgreSQL, Neo4j, and Qdrant. (2025)
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2023 Forecasting
- Forecasting: Built database of daily car sales from Cars.com by creating web scraper in Python and analyzed for trends, saving money when purchasing a car a few months later. (2023)
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2022 Machine Learning
- Machine Learning: Analyzed brain EEG signals when listening to music using signal processing and machine learning in Python using libraries such as mne, scipy, librosa, and pytorch. (2022)
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2021 Statistical Inference
- Statistical Inference: Analyzed dataset of NYPD civilian complaints using Python to uncover evidence suggesting systematic bias against certain minority groups. (2021)
Education
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4.2026 MS, Data Science
University of California, San Diego - Graduate research in robust and trustworthy data analytics (uncertainty quantification for AI).
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8.2022 BS, Cognitive Science with Specialization in Machine Learning
University of California, San Diego - Data Science minor. 3.7 GPA