Edgar Covantes Osuna

I'm a

About

Currently, I am working at Heineken México as a data scientist. I have also worked in the areas of research on data science, applied mathematics, machine learning and optimization, technical support, web development and embedded systems.

Data Scientist & Data Analyst.

My main interests are in machine and deep learning, and also I am interested (and I have worked) with randomized algorithms, algorithmic analysis, multimodal, multi-objective and combinatorial optimization, and how all these IA tools allows us to make better decisions.

  • Birthday: 22 December 1988
  • Phone: +52 669 270 8710
  • City: Monterrey, México
  • Age: 35
  • Degree: PhD in Computer Science
  • Email: edgarcovantes[at]gmail.com

My main expertise is the usage of advanced analytics and machine learning techniques to extract insights from data and drive informed decision-making across the organization. Also, the analysis and design of randomized search heuristics such as evolutionary algorithms for optimization problems and its use as tools for decision-making.

Skills

Programming languages:

Python, R, C, C++, PHP, Java, Go, SQL.

Libraries and Tools:

Keras, TensorFlow, Sklearn, SciPy, Pandas, Numpy, Git, Drupal, CakePHP, jQuery.

Data visualization tools:

Tableau, Matplotlib, PGF/TikZ.

AI skills:

Strong understanding of ML algorithms, including supervised, unsupervised and deep learning (e.g., DNN, CNN, LSTM). Intelligent search agents (e.g., heuristics, metaheuristics, deterministic and ransomized search algorithms).
Intelligent search agents (e.g., heuristics, metaheuristics, deterministic and ransomized search algorithms).

Cloud computing platforms:

Familiarity with cloud computing platforms (e.g., Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).

Other Technical skills:

Strong understanding of Statistical (including hypothesis testing) and Probability concepts, Complexity Theory, Algorithms, Google Sheets, Microsoft Excel, Relational databases, LaTeX.

Resume

Professional Experience

Data Scientist

July 2024 - Present

Heineken México, Nuevo Léon, México

  • Leverage advanced analytics and machine learning techniques to extract insights from data and drive informed decision-making across the organization.
  • My main responsibilities are:
    • Assist in the development and implementation of predictive models and machine learning algorithms to solve business problems and drive strategic initiatives.
    • Support other data scientists and analysts in conducting data analysis, exploring datasets, and extracting actionable insights.
    • Evaluate model performance using appropriate metrics and techniques, iterating on models to improve accuracy and reliability.
    • Collaborate with cross-functional teams to understand business requirements.
    • Design and conduct experiments to test hypotheses and validate estimated benefits.
    • Translate new innovations intro data driven solutions.
    • Stay updated on industry trends, emerging technologies, and best practices in data science to maintain a cutting-edge approach.

Research Professor

July 2019 - December 2023

Instituto Tecnológico y de Estudios Superiores de Monterrey, Nuevo Léon, México

  • Research Area: Applied Mathematics, Data Science, Machine Learning and Multi-objective Optimization.
  • Lectures: Advanced Algorithms Analysis and Design, Development of Advanced Applications of Computer Science, Implementation of Computational Models, Design of Intelligent Agents, Analysis of Systems Based on Knowledge.

Software Engineer Jr

August 2014 - July 2015

Continental Automotive (Telematics), Jalisco, México

  • Design, coding, integration, verification and/or testing for Continental’s software products. Technical support to clients, division and production products. Participation in all stages of the development process.

Software Engineer

March 2011 - September 2011

Softtek, Jalisco, México

  • Developer and/or programmer as a Backup on the .NET framework for Hewlett-Packard (HP).

Trainee

September 2010 - March 2011

TATA Consultancy Services (TCS), Jalisco, México

  • Trainee in the area of WEB development and programming. Technical support in the project GE Support Central.

Backend Developer

April 2010 - September 2010

DATAWINS, Sinaloa, México

  • Backend Developer (PHP, Drupal, CakePHP, JQUERY).

Education

Ph.D. in Computer Science

2015 - 2018

University of Sheffield, Sheffield, UK

Master in Information Sciences

2011 - 2013

Autonomous University of Sinaloa, Sinaloa, México

Bachelor of Science in Engineering (Computer Science)

2006 - 2009

Polytechnic University of Sinaloa, Sinaloa, México

Publications

Journal and Conference papers

Courses and Certifications

Google Data Analytics Professional.

April 2024

Google

Machine Learning Engineer Learning Path

February 2024

Google Cloud (Google Public Profile)

Python for Everybody Specialization

July 2021

University of Michigan

DeepLearning.AI TensorFlow Developer Specialization

August 2020

DeepLearning.AI

Sun Certified Programmer for the Java 2 platform, standard edition 5.0

July 2009

Sun Microsystems

Awards

National Researcher Level 1 (Financial Support for researchers)

2023 - 2024

CONAHCYT (the Mexican National Council for Humanity, Science and Technology)

Candidate Level (Financial Support for researchers)

2020 - 2022

CONACYT (the Mexican National Council for Science and Technology)

Best paper award nomination in the track ‘Genetic Algorithms’

July 2018

Genetic and Evolutionary Computation Conference (GECCO ’18)

Best Graduate Thesis 2014 Award in the Master’s category (honourable mention)

May 2015

INAPI (the Institute for Research and Innovation Support)

Languages

Spanish

Native

English

Professional

Extracurricular Activities

Demonstrator/Teaching Assistant

2015 - 2018

University of Sheffield, Sheffield, UK

Programme Committee

2016 - 2018

Genetic and Evolutionary Computation Conference (GECCO)

Portfolio

  • All
  • Data Analysis
  • Machine Learning
  • Optimization

Cyclistic bike-share analysis

Data Analysis

Towards a More Balanced Reference Set Adaptation Method: First Results

Optimization

Towards a Pareto Front Shape Invariant Multi-Objective Evolutionary Algorithm Using Pair-Potential Functions

Optimization

An Overview of Pair Potential Functions for Multi-Objective Optimization

Optimization

On the utilization of pair-potential energy functions in multi-objective optimization

Optimization

General regression work-flow used to predict the value of the parameter α for each pair-potential kernel.

Machine Learning

Bellabeat Analysis

Data Analysis

Market Basket Analysis

Machine Learning

Churn Analysis

Machine Learning

Flowchart of our adaptation method plugged into a MOEA that employs a predefined WVRS

Optimization