Francesco Bruzzesi
Verified Expert in Engineering
Data Scientist and Developer
Francesco is a data scientist with over four years of experience, a mathematician by training, and a passionate learner. He is especially interested in bringing value to a team or product, which, in his experience, has often translated to preferring simple, scalable, and understandable solutions instead of overcomplex models when unnecessary.
Portfolio
Experience
Availability
Preferred Environment
Linux, Visual Studio Code (VS Code), Windows Subsystem for Linux (WSL)
The most amazing...
...things I've developed are multiple web apps for internal use so that business experts can operate and interact with ML models and the results.
Work Experience
Senior Data Scientist
Edison
- Analyzed and forecasted customer behavior to monitor and optimize debt collection and churn prediction processes.
- Developed end-to-end pipelines to forecast time series plant production with multiple time horizons.
- Coached and mentored new hires, guiding them through a beautiful journey into the data world.
Data Scientist
Avanade
- Optimized internal processes of an automotive company, in order to build data-driven insights from vehicle sensor data. In particular, I reduced ETL and forecast time from 12 down to 1.5 hours, which led to eight times faster implementation.
- Provided in-depth analysis and created an ad-hoc tool to monitor quantitative team KPIs and trigger forecasting models for a utility company.
- Performed exploratory data analysis, hypothesis testing, data preparation and preprocess for statistical and machine learning modeling. I also assisted in architecture migration to big data solutions, premise to cloud, in a telco company.
Experience
Deczoo
https://fbruzzesi.github.io/deczoo/There are many great decorators that I found myself implementing over and over in different projects. The hope is to gather them and use this codebase.
Tabular Data Annotator Web App
It exists because countless times a business expert or myself had to annotate tabular data and this solution made it faster.
Tennis Stats Web App
Skills
Libraries/APIs
NumPy, Pandas, Scikit-learn, PyTorch
Languages
Python, SQL
Paradigms
Data Science
Other
Mathematics, Statistical Methods, Data Modeling, Machine Learning, Windows Subsystem for Linux (WSL), Probability Theory, Discrete Mathematics, Number Theory
Frameworks
Flask, WebApp, Spark
Platforms
Linux, Visual Studio Code (VS Code), Azure, Databricks, Amazon Web Services (AWS), Docker, Kubernetes
Education
Master's Degree in Mathematics
The University of Milan - Milan, Italy
Master's Degree in Mathematics
University of Duisburg-Essen - Essen, Germany
Bachelor's Degree in Mathematics
University of Bologna - Bologna, Italy
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