Mariel Chávez Monroy

Mariel Chávez Monroy has a diverse range of work experience in the field of data analysis and development. In their most recent role as an Analytics Manager at Edgewater Markets, they were responsible for developing various tools to display, analyze, and share data with business managers and the liquidity team. This included creating a microservice application for real-time reporting, implementing Chronograf and Grafana for real-time pricing data, and developing a platform using Plotly Dash to create dashboards.

Before this, Mariel worked as a Solution Analyst at everis, where they contributed to solving business problems by analyzing data and providing solutions. Mariel also had experience working as a Data Scientist for both Independiente/Freelance and AXA. At Independiente/Freelance, they focused on data science tasks, while at AXA, they worked on ETL processes to structure databases and collected and prepared data for visualization and analysis. Mariel also conducted data analysis for e-commerce data using decision trees to gain insights into potential clients.

Prior to their roles in data science, Mariel worked as an Analyst System SR at Cinemex, where they provided maintenance and support for applications and business processes. Mariel also developed ETL processes and conducted data analysis to ensure data integrity and consistency.

Mariel's earlier work experience includes a role as a Web Developer at COFETEL, where they were involved in designing and implementing database models, generating reports, and developing websites using PHP, HTML, and CSS.

Overall, Mariel Chávez Monroy has a strong background in data analysis, development, and problem-solving, with experience in various industries.

Mariel Chávez Monroy obtained a Diplomatura in Mathematics and Statistics from Universidad Nacional Autónoma de México, starting in 2014 and finishing in 2015. Prior to that, they completed a Licenciatura in Applied Mathematics and Computational Science from the same university, from 2007 to 2011, with a specialization in Data Mining.

In addition to their formal education, Mariel Chávez Monroy has acquired various certifications related to data analysis and programming. In 2021, they obtained a certification in "GIT+GitHub: Todo un sistema de control de versiones de cero" from Udemy. In 2019, they completed the "Intermediate Python for Data Science," "Introduction to Python," "Python Data Science Toolbox (Part 1)," and "Introduction to Data Visualization with Python" courses, all from DataCamp. In 2017, they acquired certifications in "A Crash Course in Data Science" from Universidad Johns Hopkins, as well as "Exploratory Data Analysis," "Getting and Cleaning Data," "R Programming," and "The Data Scientist's Toolbox" from Coursera.

Furthermore, Mariel Chávez Monroy has completed several courses on data analysis and programming in R from DataCamp, although specific details regarding the dates and institutions are not provided. These courses include "Cleaning Data in R," "Data Manipulation in R with dplyr," "Data Visualization with ggplot2 (1)," "Importing Data Into R," "Intermediate R," "Intro to Statistics with R: Introduction," and "Introduction to R."