Sergio I. Mota

CDMX, MÉXICO · Personal Blog

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I am a M.Sc. in Computer Science and Engineering with specialization in Artificial Intelligence at UNAM. I have experience in the research area and private industry. Now I am looking for new challenges in projection areas such as Data Science, Machine Learning Engineering, and Data Engineering.

In my master studies, I learned different algorithms for machine learning, statistics, outlier detection, evolutionary computing, signals processing, graphs analytics, computer vision, and natural language processing. The name of my thesis is “Research, implementation and measurement of different algorithms for outlier detection”.

Skills

Languages & Tools
  • Python
  • R
  • C
  • Git
  • Power BI
  • SQL
  • PL/SQL
  • Bash
  • Java
Python Libraries
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scipy
  • Keras/Tensorflow
  • NetworkX
Data Management
  • Microsoft SQL Server
  • Oracle
  • MySQL
Soft Skills
  • Leadership
  • Fast Learner
  • Team Work
  • Problem Solving
Cloud

Segmentation of areas damaged by COVID-19 through isolation forest in lung images.

Collaborative research project, this seeks to segment the areas damaged by COVID-19 in images of the lungs. Segmentation will be done through Isolation Forest.

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Creation of a divorce prediction test website.

Project implemented on a web page, it is about predicting divorces through logistic regression using artificial neural networks. The project was created just for fun.

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See all Projects for more examples!

Publications

Scientific Investigations, Presentations and Posters.

Scientific Investigation - Constellations: Reimagining Celestial Histories in the Early Americas

Collaborative project between IIMAS-UNAM, the University of California in San Diego, the University of Sao Paulo and the John Carter Brown Library. The objective was to create a page that would represent the cosmos, in which about 90 objects belonging to the John Carter Brown Library are reflected, these objects have as their theme the history of astronomy in the Americas.

November 2020

Presentation - Different approaches to the detection of anomalies.

A brief is presented for the different types of anomaly detection methods. These methods ranged from a statistical approach to deep learning.

September 2020

Poster - Unsupervised Detection of Outliers in In-vitro Cellular Gene Expression Data

The poster was exhibited within the Fall School in Mathematical Biology (Escuela de Otoño en Biología Matemática, EOBM) 2019 that was assigned to Mérida, Yucatán.

November 2019

Experience

Data Scientist

Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, UNAM

  • Data Scientist within the project “Anomaly detection algorithms based on density quantification applied in biomedical contexts”.
  • Python programming with distinct libraries.
  • Performed analysis of large and diverse datasets.
  • Co-author of an article submitted for publication.

January 2021 - Present

Data Scientist

Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, UNAM

  • I was in charge of the development of an object recommendation system, the central theme was “the history of astronomy in the Americas”. All objects in the project belong to the John Carter Brown Library.
  • Programmation of web scraping methods in Python.
  • Development team coordinator.
  • Design and implementation of the website: http://constellations.jcblibrary.org:8016/constellations/

June 2020 - December 2020

Teacher Assistant

Universidad Autónoma de Yucatán

  • Teacher assistant in the Machine Learning class within the computer science career at UADY.
  • In charge of teaching once a week.
  • Review of homeworks and projects.
  • Advice on Machine Learning themes.

September 2019 - January 2020

Data Analyst

Freelance

  • Data extraction, analysis and creation of dashboards at the request of different clients.
  • Data was obtained with SQL, dashboards were created with Power BI.
  • Provided technical guidance for the team to build and implement.

December 2015 - October 2017

PL/SQL Developer

Tata Consultancy Services

Developing Queries and Stored Procedures in Oracle Database 10g.

December 2013 - September 2015

Unix Developer

Tata Consultancy Services

  • Bash and SQL script development.
  • General system monitoring.
  • Attention of service tickets this in Red Hat Enterprise 8 and 9 operating systems.

June 2013 - December 2013

System Analyst

Hildebrando

Analysis and development of new functionalities for Bancomer client’s own applications. These applications are created with Java, JavaScript, HTML, SQL.

May 2012 - June 2013

Education

Universidad Nacional Autónoma de México

M.Sc. in Computational Science and Engineering
Specialty in artificial intelligence at IIMAS, 9.26/10

2018 - 2021

Universidad Autónoma Metropolitana

Bachelor of Computer Science
Specialty in software engineering at campus Iztapalapa, 8.04/10

2004 - 2010

Courses & Training

Specialized Program in Data Engineer (Google Cloud Platform)

Rabbit Cloud Academy
  • Security.
  • Open source.
  • Storage.
  • Ingest, processing and analysis.
  • Machine Learning.

February 2021 - June 2021

Scrum Foundations Professional Certificate (SFPC)

Certiprof
  • Professional certificate.
  • Definition of Scrum.
  • Uses of Scrum.
  • Scrum Theory.

July 2020

Course AZ-900T01-A: Microsoft Azure Fundamentals

Compueducación
  • Certificate that accredits the course.

July 2020

Deep Learning Summer School

CViCom - UNAM
  • Duration of 24 hours.
  • Deep Learning implementation in Keras/Tensorflow.
  • Different Deep Learning architectures.
  • Creation of a Generative Adversarial Network (GAN)

June 2019

Diploma in Big Data Technician

Secretaría de Educación Pública (SEP)
  • Information search and management.
  • Software development.
  • Service administration.
  • Information analysis.

December 2015 - October 2017
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