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About

Data Scientist and Mathematician

Hey there, I'm Luca. I am a data scientist, mathematician and software enthusiast.

I am currently working with a team of passionate software engineers at Quanthome, a data-driven startup in Lausanne, aiming at digitalising the Swiss real estate market. There, I got the opportunity to consolidate and expand my software stack while recruiting and supervising a team of junior data scientists, leading machine learning engineering projects, working on database architecture and data migration projects, as well as implementing workflow orchestration pipelines with CI-CD frameworks.

I hold both a Bachelor's and Master's degree in Mathematics from EPFL. My academic focus included statistical data analysis, topological data analysis, and statistical machine learning, equipping me with the analytical skills necessary for tackling complex data challenges. In parallel to my studies, I worked for the Laboratory of Topology and Neuroscience at EPFL on data science projects.

Skills

Continuous Delivery

Continuous Integration

Database Management System (DBMS)

Deep Learning

Environmental Data Analysis

Image Analysis

Machine Learning

PostgreSQL

Python

Software Engineering Practices

Open for

fulltime

Work Experience

Quanthome

2023-09 - 2024-10

Workplace
MLOps Engineer
Location

Vaud

Employement type

fulltime

My projects and responsabilities as MLOps engineer included the following. - managing data and model versioning (self-made Python package) - automation of deployment pipelines - model training and validation - continuous monitoring of models (Streamlit, MLflow) - CI/CD for ML models (Github Actions)

Quanthome

2022-08 - 2023-08

Workplace
Data Scientist
Location

Vaud

Employement type

fulltime

My projects and responsabilities as data scientist included the following. - lead of machine learning engineering projects (Python, MLFlow, XGBoost) - database management and data migrations (PostgreSQL) - recruitment and supervision of junior data scientists - R&D collaboration with the CRML@UNIL and ECCE@UNIL (ESG analysis and climate risk) - financial data, environmental data, geometry data, geographical data, building engineering data

Academic Experience

École polytechnique fédérale de Lausanne -

 

2017.09 - 2020.06

Bachelor of Science, BSc in Mathematics

École polytechnique fédérale de Lausanne -

 

2020.09 - 2022.06

Master of Science, MSc in Mathematics