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Esteban Márquez Delgado

Data Scientist / Analyst & ML Eng.

ITESO Financial Engineer BSc. 📊⚙️


About:

Education:

Bsc. iframe
  • Universidad Loyola
    International Exchange Student , Economics
    August 2019 - December 2019
    Guadalajara, Mexico Metropolitan Area

  • Colegio Cervantes Costa Rica
    Technical High School, Physics & Mathematics
    August 2014 - December 2017
    Guadalajara, Mexico Metropolitan Area


Currently Studying for:

Azure Data Scientist Associate

Tableau Desktop Specialist

Work:

  • Trading Club GDL
    Portfolio Risk Management Associate
    January 2018 - Present (5 years 11 months)
    Guadalajara, Mexico Metropolitan Area
    Capital, Bonds & Derivatives Markets Risk Management

  • Investor House MX
    Financial Analyst Associate
    May 2017 - Present (6 years 7 months)
    Mexico, MX
    Capital Markets Equities Analysis & Portfolio Constructions effectively applying Risk Management tools from data on investments made in the BMV & NYSE equities, ETFs, Forex & Bonds.

  • SHCP
    Data Science Internship
    May 2022 - December 2022 (8 months)
    Development of large datasets automatic Cleansing & ETL processes with NLP techniques for Clothings imports subcategories within MX.

  • Instituto de Información Estadística y Geográfica de Jalisco
    GIS Data Science Internship
    January 2022 - May 2022 (5 months)
    Jalisco, Mexico
    GIS Data Science Internship where Natural Protected Areas insights were constantly delivered from Data Analysis & ML using Satellite Imagery Remote Sensing Data for their Supervised Classification.

Distinctions:

First place on college investment competition hosted by MexDer financial derivatives operator Kualiderivados in 2018.

Algorithms Experience:
  • Linear & Logistic Regressions
  • Decision Trees
  • Random Forests
  • Support Vector Machines (SVMs)
  • K-Nearest Neighbors (KNN)
  • Naive Bayes
  • Principal Component Analysis (PCA)
  • K-Means & Hierarchical Clustering
  • Gradient Boosting Machine (GBM)
  • Genetic Algorithms
  • Particle Swarm Optimization
  • Adaline / Perceptron
  • Artificial Neural Networks (Feed Forward, Recurrent, Convolutional, GANs, etc.)

Tools:

Programming Languages 🖥
Symbol Languages Experience
Python 5+ years
R 4+ years
MATLAB 4+ years
Markdown 4+ years
LaTeX 4+ years
Git 4+ years
HTML 3+ years
CSS 3+ years
YAML 1+ years
JavaScript 1+ years
C# -1 years
PHP -1 years
Frameworks 📱
Symbol Framework Experience
Streamlit 2+ years
Keras 1+ year
PyTorch 1+ year
TensorFlow 1+ year
Node.js 1+ year
React.js 1+ year
.NET -1 years
Selenium -1 years
Hosting 🌐
Symbol Service Experience
Github 4+ year
Gitlab 2+ years
Azure 1+ year
Text Editor 💻
Symbol Editor Experience
Jupyter 4+ years
RStudio 3+ years
Spyder 3+ years
VSCode 2+ years
VSCode Web 1+ years
GitHub Codespaces 1+ years
Google Colab 1+ years
PyCharm 2+ years
CLIs 🖥
Symbol Editor Experience
Conda 4+ year
Bash 3+ year
CMD 3+ year
PowerShell 2+ year
Frequently Used Pkgs

numpy pandas matplotlib seaborn scikit-learn statsmodels xgboost tensorflow keras pytorch scipy nltk pillow requests fitter tabulate beautifulsoup ggplot2 dplyr tidyr lubridate stringr readr purrr tibble knitr plotly tidyverse Deep Learning Toolbox Curve Fitting Toolbox Simulink Neural Network Toolbox


Repo Visualization:

Repository






Gists






Official Web-Audit / Validation:

Lighthouse W3C HTML Validation

Steve-md's Projects

active-vs-passive-investing icon active-vs-passive-investing

This document was prepared by Esteban Márquez Delgado as delivery for Laboratory 1 of Microstructure and Trading Systems - MAF1731B class during the Autumn 2022 course at ITESO for the Bachelor of Financial Engineering.

basic-ex. icon basic-ex.

Python basic ex. with the usage of LateX and markdown.

basic-ex.2 icon basic-ex.2

Python basic ex. with dictionaries, lists comprehensions, lambda anonym. functions & more..

basic-ex.3 icon basic-ex.3

More Python basic ex. with dictionaries, lists comprehensions & more..

cpython icon cpython

Resource for contributing to Python

credit-models icon credit-models

In the following repository assignments of the course *MAF1732Q Credit Models* will be uploaded.

debugging-json icon debugging-json

Debugging launch.json files for various apps and frameworks in VSCode.

estebanmqz icon estebanmqz

gh-pages ~ PHP-POST Request submission → Instant Msg HTML (Mail Filter pwless Validation) with CSS / JS enhanced UX/UI.

examen-de-simulacion-3 icon examen-de-simulacion-3

En este repositorio estarán contenidos los resultados de la realización del Examen 3 con el profesor odjaramilloz de Simulación de Procesos Financieros de Ing. Financiera en ITESO

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

git-commands icon git-commands

Personal 150+ quick search-list for bash scriptings & tools.

google-audit icon google-audit

Websites metrics, efficienct implementations & evaluations. 90% + ~ enhanced UX/UI.

inverse-transform icon inverse-transform

Inverse Transform in LaTeX & samplings with numpy validated in matplotlib on uniformly distributed continuous random variables & binomial mass function.

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

lucidmode icon lucidmode

A Lucid Framework for Transparent and Interpretable Machine Learning Models.

markdown-badges icon markdown-badges

Badges for your personal developer branding, profile, and projects.

microstructure-visualization-modelling icon microstructure-visualization-modelling

In this laboratory we will use information from the Cryptocurrency Order Book of various international exchanges, with the primary objective of visualizing and modeling the microstructure of the market through the behavior of the Order Book and its characteristics such as; Matching Engine, Levels, Ask-Bid Volumes, etc.

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Montecarlo Expected Values E[X], RoI, f(x) density functions & cumulative distributions from modular dependencies with virtual environment & HTML reusability (e.g).

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