Roberto Sánchez Ávalos

Data Scientist

https://www.opentalent.in/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…

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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