Mateo Graciano Londoño, Developer in Medellín, Colombia
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Mateo Graciano Londoño

Verified Expert  in Engineering

Data Scientist and Developer

Medellín, Colombia

Toptal member since September 28, 2022

Expertise
Data ScienceMachine LearningPythonSQLBigQueryNLPCloud EngineeringComputer VisionRApache AirflowRStudio ShinyKubernetes
Bio

Mateo is a data scientist with over six years of experience and excellent knowledge of Python, R, and SQL. He holds a bachelor's degree in mathematics and computer science and a master's degree in data science. Mateo has worked for enterprise-level companies like Protección and Globant's StarMeUp, providing solutions for portfolio optimization, talent churn using people analytics, classification using NLP transformers, and quant finance risk profiling to predict salespersons' productivity.

Portfolio

Landed
R, Python 3, BigQuery, Looker, Data Science
Globant (@starmeup)
R, Python, BigQuery
Protección
R, Python, BigQuery, Machine Learning, Apache Airflow, RStudio Shiny, Dash...

Experience

  • R Programming - 6 years
  • Data Science - 6 years
  • Python - 5 years
  • SQL - 5 years
  • Machine Learning - 4 years
  • BigQuery - 4 years
  • Google Cloud Platform (GCP) - 4 years
  • Generative Pre-trained Transformers (GPT) - 3 years

Availability

Part-time

Preferred Environment

Python 3, R, Google Cloud Platform (GCP)

The most amazing...

...app I've built is a Pokedex using R, Python, HTML, and CSS, which identifies the Pokemon the user uploads.

Work Experience

Data Scientist and Machine Learning Engineer

2022 - PRESENT
Landed
  • Created an API that detects a message's intention to trigger the chatbot's automatic responses.
  • Built an algorithm that allocates the marketing budget efficiently. Here I proved the famous diminishing returns of marketing expenditure.
  • Managed and maintained the company's dashboards using Looker.
Technologies: R, Python 3, BigQuery, Looker, Data Science

Data Scientist

2021 - 2022
Globant (@starmeup)
  • Used the app's interaction data to create a notion of distance between employees using graphs, allowing us to personalize some app features.
  • Conducted graph analysis, which helped us understand how being connected inside an organization is helpful for the employee.
  • Deployed a machine learning model that predicts employee churn, enabling the organization to save up to $400,000 in one use.
  • Tested various hypotheses with data, allowing us to focus on impactful features.
  • Designed A/B tests for impact evaluation of new features. We used our internal tool to measure the new features' impact on our KPIs.
Technologies: R, Python, BigQuery

Quantitative Analysis Specialist

2017 - 2021
Protección
  • Developed the back end of the company's robo-advisor-like service using R, BigQuery, and Airflow, serving over 15,000 clients daily as of July 2021.
  • Designed and implemented the quantitative background for the company portfolios' environmental, social, and governance (ESG) transformation.
  • Transformed six portfolios with at least 10% better ESG scores, according to MSCI.
  • Deployed some machine learning models for market forecasting, which helped portfolio managers.
  • Built an internal portal with web applications using R Shiny, Dash on a Kubernetes cluster, and ShinyProxy with Azure Active Directory authentication.
  • Improved the percentage of successful hires after investigating what maximizes its probability and proposing and implementing an organizational change in the commercial area.
Technologies: R, Python, BigQuery, Machine Learning, Apache Airflow, RStudio Shiny, Dash, Kubernetes, ShinyProxy, Azure Active Directory

Experience

Development of a Pokedex Using Shiny

https://github.com/magralo/shinypoke
A Pokedex that has a computer vision model trained using transfer learning.

I used HTML and CSS to create its appearance and Python and TensorFlow for the machine learning model. I built the rest of the app using R Shiny with information from the public PokeAPI.

Education

2019 - 2020

Master's Degree in Data Science

EAFIT University - Medellin, Antioquia, Colombia

2013 - 2017

Bachelor's Degree in Mathematics and Computer Science

EAFIT University - Medellin, Antioquia, Colombia

Skills

Libraries/APIs

TensorFlow

Tools

BigQuery, Looker, Apache Airflow, ShinyProxy

Languages

Python, SQL, Python 3, R, HTML, CSS

Platforms

Google Cloud Platform (GCP), Kubernetes

Frameworks

RStudio Shiny

Paradigms

Distributed Computing

Storage

Azure Active Directory

Other

R Programming, Data Science, Applied Mathematics, Machine Learning, Statistics, Statistical Analysis, Predictive Analytics, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Sports, Dash, Computer Vision

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