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21 y/o Computer Science student
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Università degli Studi di Milano - UniMi
Data Scientist
June 30, 2026 – Present
neo4j-sanitizer
October 5, 2024 – October 5, 2024
Python framework to sanitize your Neo4j db instance for microdata release
View ProjectLeetCode
February 29, 2024 – July 7, 2024
[2024] A collection of LeetCode problems solutions
View ProjectUniMi
September 28, 2023 – June 16, 2024
[2023-2024 UniMi] Notes and summary about University courses
View ProjectPL
September 27, 2023 – January 5, 2024
Repository del corso di Linguaggi di Programmazione
View Projectvisualizzazione-scientifica
August 8, 2023 – September 9, 2023
[2023 unimi] "Visualizzazione scientifica" course at unimi project: visualize climate change data with graphs using matplotlib Python library.
View ProjectMorr-inoCinese
June 29, 2023 – July 22, 2023
[2023 UniMi] "Sistemi Embedded" course project: create a hand which can read your hand signs on photoresistors
View ProjectSNM
May 24, 2023 – September 5, 2023
[2023 UniMi] "Tecnologie e linguaggi per il web" course project: create a spotify-clone with users, tracks, playlists and albums
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal, indicating a strong drive for learning and self-improvement. The diversity of technologies used (Python, Java, C++, OCaml, Erlang, Scala, JavaScript, AMPL) suggests adaptability and a broad technical curiosity. However, the lack of professional experience beyond a future-dated role at UniMi makes it difficult to assess alignment with a professional team environment or specific company culture. The projects are mostly university-course related, which is typical for an entry-level candidate, but less so for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.