Open to opportunities

Leonardo Pacciani-Mori

@leonardopacciani-mor

Message

Senior Data Scientist turning data analysis and machine learning into actionable business insights.

Italy

Message

What I'm looking for

I’m looking for a role where I can apply data analysis and machine learning to create actionable, business-driven insights—supporting strategic decisions with rigorous modeling, clear dashboards, and strong communication across stakeholders.

I transitioned from academia to industry to apply my data analysis experience as a Senior Data Scientist, helping teams make smarter, strategic decisions through actionable, business-driven insights. I combine strong attention to details with independent, results-oriented problem solving.

At Merkle, I support the success of the company by contributing data analysis and machine learning expertise for decision-making. I’m especially focused on connecting complex analyses to outcomes that matter, including dashboard building, data mining, and clear reporting.

Previously, I worked as a Researcher & Data Analyst and Postdoctoral Fellow, where I led data-driven experiment design, lab data collection (HPLC, plate reader), and quantitative analysis in Python/Jupyter. I also developed machine learning algorithms (including clustering) and built mathematical models and statistical fits (scipy), presenting results to multiple stakeholders across international settings.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Merkle Italia

May 2025 - Present (1 year 1 month)

Developed machine-learning algorithms and performed quantitative analysis of lab datasets to support data-driven decision-making at Merkle Italia. Presented research results at international conferences to a multi-stakeholder audience.

Python Jupyter NumPy Pandas Matplotlib Scipy Machine Learning Clustering Data Reporting Statistical Modeling

Researcher & Data Analyst

UC San Diego

Mar 2021 - Mar 2025 (4 years)

Designed data-driven experiments and analyzed biological lab datasets using Python to support research in biological physics and microbial ecology. Built ML clustering algorithms and performed statistical fits to model lab results, with regular reporting of findings.

Python Jupyter NumPy Pandas Matplotlib Scipy Machine Learning Clustering Mathematical Modeling Data Analysis

Researcher (Visiting)

Harvard University

Apr 2019 - Sep 2019 (5 months)

Conducted visiting graduate research at the interface of bacterial physiology and ecology by designing experiments and analyzing flow cytometry data with Python. Performed statistical regression and descriptive analysis and reported results to the research team and stakeholders.