mmistroni

Data Scientist

https://talent.gravityer.com/mmistroni

Member since June 25, 2026

Key Strengths

Demonstrated interest in data-related technologies through personal projects like 'SparkExamples' and 'kaggle_vibecoding'.
Exposure to cloud platforms (GCP, Azure) through 'GCP_Experiments' and 'udacityAzureProject'.
Proficiency in Python, a core language for Data Scientists, evident across multiple projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a proactive learning attitude through diverse personal projects in various technologies (Python, Scala, Go, JavaScript). This indicates a potential for adaptability and continuous learning, which can be a good cultural fit for dynamic environments. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal technical projects without team context or professional experience.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mmistroni-event-talks-app

June 19, 2026 – Present

simple repo using agy client

View Project

kaggle_vibecoding

June 15, 2026 – Present

Codespace for Kaggle Vibecoding Course

View Project

the-polls-api-main

November 28, 2025 – Present

Repository for pydantic capstone project

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goproject

November 2, 2024 – June 20, 2025

A Repository of golang exercises and applications

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groceries_plugin

June 1, 2024 – Present

Sample FastAPI application

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CodeCraftHub

May 9, 2024 – May 29, 2024

Repo for AI COURSE

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udacityAzureProject

January 31, 2023 – January 31, 2023

Azure Experiments

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Codility

January 5, 2022 – Present

Codility exercises

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GCP_Experiments

December 20, 2019 – Present

Various utilities to be reused on GCP

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SparkExamples

April 8, 2016 – July 4, 2019

SparkExamples — GitHub repository

View Project

Key Strengths

Demonstrated interest in data-related technologies through personal projects like 'SparkExamples' and 'kaggle_vibecoding'.
Exposure to cloud platforms (GCP, Azure) through 'GCP_Experiments' and 'udacityAzureProject'.
Proficiency in Python, a core language for Data Scientists, evident across multiple projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal technical projects without team context or professional experience.

mmistroni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit