Andrea Grandi

Data Scientist

https://talent.gravityer.com/andrea-grandi

Software Engineer (Python/Django, Go)

laterpay

Key Strengths

Demonstrated proficiency in Python through multiple personal projects, including API development (slowapi, covid-api) and tooling (ipdb, pelican-jupyter, botchat).
Experience with Docker for deployment and infrastructure (postgresql-docker, covid-api).
Exposure to Go programming language with examples in messaging (go-amqp-example) and CLI tools (mcp-wire).
Current role as a Data Scientist at Laterpay indicates direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive list of personal projects, including open-source contributions (slowapi, ipdb, pelican-jupyter), suggests a proactive, curious, and collaborative mindset. The diversity of projects, from web frameworks to CLI tools and data-related APIs, indicates a broad technical interest and willingness to explore different domains. This aligns well with a culture that values continuous learning and contribution.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's personal projects demonstrate initiative and self-learning, which are positive indicators.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mcp-wire

February 12, 2026 – Present

CLI tool written in Go that lets users install and configure MCP (Model Context Protocol) servers across multiple AI coding CLI tools (Claude Code, Codex, OpenCode, etc.) from a single interface.

View Project

botchat

April 21, 2023 – May 5, 2023

A script to generate a conversation between two ChatGPT instances

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covid-api

February 29, 2020 – October 2, 2021

COVID19 Api based on Johns Hopkins CSSE data

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slowapi

February 21, 2020 – Present

A rate limiter for Starlette and FastAPI

View Project

drf-tutorial

September 21, 2016 – June 10, 2021

Django Rest Framework Tutorial

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go-amqp-example

April 6, 2015 – April 6, 2015

Example of producer and consumer of RabbitMQ messages in Golang

View Project

booking-example

February 14, 2015 – May 20, 2015

A restaurant table booking example in Python/Django

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postgresql-docker

February 7, 2015 – December 9, 2015

Docker image for PostgreSQL

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pelican-jupyter

March 7, 2013 – April 6, 2023

Pelican plugin for blogging with Jupyter/IPython Notebooks

View Project

ipdb

January 15, 2011 – Present

Integration of IPython pdb

View Project

Key Strengths

Demonstrated proficiency in Python through multiple personal projects, including API development (slowapi, covid-api) and tooling (ipdb, pelican-jupyter, botchat).
Experience with Docker for deployment and infrastructure (postgresql-docker, covid-api).
Exposure to Go programming language with examples in messaging (go-amqp-example) and CLI tools (mcp-wire).
Current role as a Data Scientist at Laterpay indicates direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's personal projects demonstrate initiative and self-learning, which are positive indicators.

Andrea Grandi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit