Roberto Sánchez Ávalos

Data Scientist

https://talent.gravityer.com/roberto-sanchez-avalos

Washington, United StatesMember since June 25, 2026

Key Strengths

Demonstrated experience with Python and R for data analysis and machine learning tasks.
Practical application of data science techniques in projects like 'Compranet' and 'UrbanExpansion'.
Familiarity with data pipeline tools (Airflow template) and containerization (Docker).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data analysis, machine learning, and web scraping, which aligns well with a Data Scientist role. The diversity of projects, including those focused on public data and social impact (Compranet, CrimeCDMX), suggests a proactive and problem-solving mindset. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

climate-variability-vs-outcomes

October 1, 2025 – October 3, 2025

Climate Variability Economic Project

View Project

isochrone_app

March 31, 2021 – April 16, 2021

isochrone_app — GitHub repository

View Project

airflow-template

April 27, 2020 – January 21, 2022

Sample Repo - Data Pipeline with Airflow + docker-compose - Template

View Project

Webscrapping-job-vacancies-in-Latin-America

October 10, 2019 – Present

Webscrapping job vacancies in Latin America to create a vacancies time series and apply ML to create skill contents variables/indicators

View Project

MANAC

June 28, 2018 – January 18, 2019

Mapa Nacional de Carencias

View Project

vimprovement

April 6, 2018 – November 17, 2018

A tutorial or something like that

View Project

CrimeCDMX

September 15, 2017 – December 2, 2018

Interactive visualization of Mexico City's crime data

View Project

UrbanExpansion

June 27, 2017 – October 7, 2017

Product based application for measuring urban expansion using three machine learning algorithms: Random Forest (RF), Extratrees (ET), and Logistic Regression with regularization

View Project

python-headless-chromedriver

May 22, 2017 – May 22, 2017

Docker container with python & selenium for headless web scraping. Uses Chrome as driver

View Project

compranet

April 28, 2017 – May 26, 2017

Since 2002, the Mexican Federal government handles most of its procurement biddings through a transactional platform called Compranet. Even though most of the information in the platform is public, authorities and organizations dedicated to fight corruption do not have a technical framework to better allocate their resources into cases.

View Project

Key Strengths

Demonstrated experience with Python and R for data analysis and machine learning tasks.
Practical application of data science techniques in projects like 'Compranet' and 'UrbanExpansion'.
Familiarity with data pipeline tools (Airflow template) and containerization (Docker).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Roberto Sánchez Ávalos

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit