About Me
I worked for a while as a data scientist for different companies, from FAANG to early-stage startups. Last year I left my full-time job to start my own company and I'm now working on Casify.it, a data analytics and prediction toolbox for real estate investors.
I am mostly interested in coding, DS/ML and startups. My hobbies are music production, reading and calisthenics.
Links
Experience
Co-Founder
Casify.it — Jan 2024 – Present- Casify provides real estate investors the tools to find and evaluate investment opportunities at a fraction of the time.
- Pretty much a bit of everything: software development, machine learning engineering, sales, marketing, fundraising, etc. Every day is different.
- Developed and deployed machine learning models to predict property prices, rental income and yields.
Founder in Residence
Antler — Jul 2023 – Dec 2023- Left my job as a data scientist to found my own startup.
- Went through Antler's founder matchmaking and acceleration program.
- Learned what it takes to start a company from zero: validation, development, iteration, fundraising, etc.
Data Scientist
Midpage.ai — Mar 2023 – May 2023- Developed a tool that enabled lawyers to summarize and ask questions on legal documents using AI and information retrieval.
- AI development, LLMs, information retrieval, prompt engineering.
- Developed the backend of the application and deployed it in production.
Data Scientist Intern
Amazon — Jul 2022 – Jan 2023- Developed unsupervised machine learning solutions to detect anomalies in fulfillment centers' data.
- Worked with AWS tools like Redshift, S3, SageMaker and more.
- Worked with very large datasets under strict computational performance requirements.
Data Scientist Intern
Generali Real Estate — Nov 2021 – May 2022- Built machine learning models to predict future real estate prices and identify investment opportunities.
- Managed data ingestion pipelines to extract data from multiple sources and store them in a unique database available to all employees.
- Presented modelling results in a clear manner to a non-technical audience on a regular basis.
Visiting Student - Research Intern
Bocconi Institute for Data Science and Analytics — May 2021 – Jul 2022- Research on applications of Natural Language Processing to corporate finance.
- Helped investigating how activist shareholder letters influence share prices during M&A campaigns.
Education
MSc - Data Science
Bocconi University — Sep 2020 – Mar 2023- Coursework: Statistics & Probability, Machine Learning, Database Systems, Econometrics, Natural Language Processing, Simulation & Modelling, Time Series Analysis, Computer Vision, Marketing Analytics
- Final Dissertation: "Predicting amino acid covariance in multiple sequence alignments using AlphaFold-generated structures"
- Final Grade: 110/110 cum laude