estebanmqz / active-vs-passive-investing Goto Github PK

• ITESO Universidad Jesuita de Guadalajara
  Financial Engineering Bsc, Data Science & Statistical Modelling·
  (August 2018 - December 2022)
  Guadalajara, Mexico Metropolitan Area

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

Azure Data Scientist Associate

Tableau Desktop Specialist

• 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.

• 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.)