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Machine Learning Engineer & Data Scientist | Organiser @PyDataRomaCapitale – focused on hype-free solutions tailored to business needs
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INGV
Data Scientist
June 28, 2026 – Present
geomemo
April 29, 2026 – Present
GeoMemo is a local SQLite web app for marking visited areas on a map
View ProjectPyTECGg
June 19, 2025 – Present
Total Electron Content (TEC) reconstruction with GNSS data – a Python package with a Rust core
View Projectscintill-ai-web-app
March 20, 2025 – May 5, 2025
A research project aiming to apply machine learning models for GNSS ionospheric scintillation forecasting at low latitudes
View Projectscintill-ai
September 27, 2024 – May 23, 2025
A research project aiming to apply machine learning models for GNSS ionospheric scintillation forecasting at low latitudes
View Projectt-fors
December 1, 2023 – May 30, 2025
Traveling Ionospheric Disturbances Forecasting System, funded by the European Community, Horizon Europe
View Projectpersonal-finance-for-newbies
June 18, 2023 – Present
A web app to produce near-real-time statistics on your investment portfolio
View ProjectQuantum_Neural_Network_QNN
July 8, 2021 – July 8, 2021
Does adding quantum features improve the overall performance of a neural network?
View Projectk-means_clustering_financial_time_series
April 19, 2021 – May 12, 2021
Machine Learning algorithm to identify periods of growth, decline and stationarity in stock data
View Projectgeodesic-light
October 18, 2020 – July 20, 2025
Ray-tracing photons in a black-hole spacetime of General Relativity
View ProjectWeather-data-and-time-series
August 29, 2020 – September 7, 2020
Looking at climate data, which city would you live in?
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on scientific applications of data science. While this demonstrates deep technical interest, the lack of diverse project types (e.g., business intelligence, product analytics, A/B testing) or collaborative team projects might indicate a narrower scope of experience for a typical industry Data Scientist role. The current role as 'Data Scientist' at INGV aligns with the target role, but the start date in the future (2026) suggests this is either a future role or an error in the data, making current professional experience difficult to assess. The projects are all personal, which is good for demonstrating initiative but doesn't show experience in a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an analytical and research-oriented mindset. The focus on personal projects indicates self-motivation and a proactive approach to learning and problem-solving. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit.