Hi, I am Alma Guerrero.

Data Scientist | Data Analyst | Machine Learning Engineer | Python Developer | BI Developer

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About Me

Introduction
Erol Bicer Nuclear Power Plants Summit Session

Computer Systems Engineering with a background in artificial intelligence. My experience as a data scientist and artificial intelligence engineer has allowed me to work in various fields for problem-solving using intelligent tools. It has also enabled me to develop strong analytical skills to extract insights and patterns from large datasets.

4+ Years'
Experience
5+ Projects
Completed
5 Papers
Published
1 Software
Registration
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Skills

Technical Competence

Programming language

More than 8 years

Python

Advanced

R

Intermediate

Javascript

Advanced

Java

Intermediate

C/C++/C#

Intermediate

.NET

Intermediate

SQL

Intermediate

MATLAB

Advanced

HTML/CSS

Intermediate

Frameworks

More than 4 years

Keras

Advanced

Pytorch (GPU/CPU)

Advanced

Tensorflow

Advanced

Scikit learn

Advanced

Numpy

Advanced

OpenCV

Beginner
Pandas Advanced
Simulink Advanced
App Designer Advanced
Flask/Django Advanced

Data

Visualization, Analysis, Dashboard

Plotly

Advanced

Matplotlib

Advanced

Seaborn

Advanced

PowerBI/DAX

Advanced

Tableu

Intermediate

Excel

Intermediate

Loocker Studio

Intermediate

MariaDB / MySQLworkbench/ MongoDB

Advanced

Miscellaneous

More than 2 years

DOS/UNIX

Advanced

Git/GitHub

Advanced

MS Office

Advanced

Design patterns

Advanced

Qualifications

Academic and Professional Career
Education
Work
B.Sc.

Computer Systems Engineer

Instituto tecnologico de Querétaro
2013 - 2018
M.Sc.

Artificial Intelligence

Universidad Autónoma de Querétaro
2018 - 2020
Ph.D.

Engineering

Universidad Autónoma de Querétaro
2021 - Present

Software developer and researcher

Universidad Autónoma de Querétaro
2018-2023

Professor of the Department of Systems Engineering

Instituto Tecnológico de Querétaro
2021 - 2023

Artificial intelligence consultant

Freelancer
2020 - 2023

Fraud analyst

Santander México
2024 - Actual

Projects

Involved Projects

IoT Based Ambient Monitoring System

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IoT Based Ambient Monitoring System for Intelligent Buildings

  • Literature and Technology Review

  • Embedded systems based on the Internet of Things format for monitoring physical variables

  • Study of electrical energy consumption in HVAC systems

  • Lightweight protocols for IoT and embedded systems: MQTT

Face detection

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Face detection for efficient video-surveillance IoT based embedded system

  • Embedded systems based on the Internet of Things

  • Detection of features in faces with embedded systems

  • Automatic bot to send security alerts

Blockchain

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Blockchain Mechanism and Symmetric Encryption in A Wireless Sensor Network

  • Design and development of custom blockchain mechanism for embedded systems

  • Implementation of symmetric encryption algorithm in embedded systems

  • Dashboard development to monitor the behavior of environmental variables

Deep Neural Networks

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A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks

  • Design and development of a system for generating electrical disturbances

  • Implementation of algorithm for extraction of characteristics from analog signals

  • Training, validation and testing of multiple convolutional neural network for classification and analysis of electrical disturbances

  • Simulation in simulink of electric microgrid with renewable generators for additional tests

SAC

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Simulation and analysis of DC-DC converters for distributed generator systems for renewable energy

  • Literature Survey on Simulation and analysis of DC-DC converters.

  • Intelligent control with fuzzy logic.

  • MPPT control.

  • Voltage controller design system for renewable generators.

Feature analysis

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Analysis of attribute characteristics with machine learning

  • Extract Transform Load (ETL)

  • Random forrest

  • correlation analysis with crammer

Papers

Published Papers
CFD code OpenFOAM mesh for pool scrubbing geometry

Intelligent Buildings

An IoT based monitoring system for ambient variables in intelligent Buildings is presented. Variables considered are temperature, relative humidity and carbon dioxide concentration. The developed system has proven to be efficient, versatile and affordable.

Read
Small modular reactor containment pressure and radioactivity

Face detection

Design and development of an embedded system for intelligent video surveillance with IoT capabilities is presented.

Read
Integral experiment test facility

Wireless Sensor Network

Blockchain Mechanism and Symmetric Encryption in A Wireless Sensor Network

Read
Wall condensation experiment

Micro smart grids

Artificial intelligence applied for micro smart grids: a literature review - Latin American Applied Research

MARS-KS, GOTHIC, CUPID, and CFX codes comparison on COPAIN test facility

Electrical Disturbances

Read

References

Dr. Edgar Rivas

UAQ, Research Professor
Recommendation letter

Dr. Mariano Garduño

UAQ, Research Professor
Recommendation letter

Contact Me

Call Me

+52 4422873795

Location

México, Querétaro