โ๏ธ๐ Financial Engineer BSc.
(Statistical & Analytics Modelling)
Contact:
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ITESO
Financial Engineering BSc.
Statistical Modelling & Data Science
August 2018 - December 2022 (5 years)
Guadalajara, MXActivities:
Economics International Exchange ERASMUS student, investment societies, Python, R, Matlab & Quantitative Analysis for Risks & Predictive Modelling.Distinctions:
1ยฐ place on college investment competition hosted by MexDer financial derivatives operator Kualiderivados.
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Universidad Loyola
International Erasmus Exchange
Degree in Economics
August 2019 - December 2019 (1 semester)
Seville, Spain
Activities:
Statistically modelling Behavioral Economics theoretically & technically to simulate human behavior mainly using MATLAB & Python. -
Colegio Cervantes Costa Rica
Technical High School - Physics & Mathematics
August 2014 - December 2017 (3 years)
Guadalajara, MX
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Trading Club GDL
Portfolio Risk Management Associate
January 2018 - Present (6 years)
Guadalajara, MX
Activities:
Historical Data Optimization Simulations for APIs automatic Portfolio Constructions, Risk Measuring & Predictive Modelling. -
Investor House MX
Financial Analyst Associate
May 2017 - Present (7 years)
Mexico City, MX
Activities:
Web Scrapping Financial Data to perform Technical, Fundamental & Corporate Data Analysis to automate insight deliveries & support Investment Decisions. -
SHCP (Secretaria de Hacienda y Crรฉdito Pรบblico)
Data Science Internship
May 2022 - December 2022 (6 months)
Guadalajara, MX
Activities:
Big Data (+1m) automatic ETL processes with NLP Supervised Classifications to develop Price Prediction Models on MX Clothings imports for taxing purposes. -
IIEG (Instituto de Informaciรณn Estadรญstica y Geogrรกfica de Jalisco)
GIS Data Science Internship
January 2022 - May 2022 (6 months)
Guadalajara, MX
Activities:
HTTP querying Natural Protected Areas Remote Sensed Data with Satellite Imagery to identify zones of pressure with Unsupervised Learning algorithms. -
Grupo Guรญa (Excelencia Inmobiliarรญa)
Capital Allocation Specialist
Jan 2024 - Present
Guadalajara, MX
Activities:
We've been able to predict emerging zones with machine learning algorithms and satellite imagery geospatial data and we've constructed +10 houses with an average of 30% yearly returns.
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5+ years experience using Github & Github Copilot (as a beta tester before its launch) while taking advantage of my .
Effectively troubleshooting collaborations with DevOps.
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Studying English as a Second Language since I was 5 years old 3 hours a day I can effectively communicate with speakers verbally through native spelling & grammar.
Symbol | Language | 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 | |
TypeScript | -1 years |
Symbol | Framework | Experience |
---|---|---|
Streamlit | 2+ years | |
Keras | 1+ years | |
PyTorch | 1+ years | |
TensorFlow | 1+ years | |
Node.js | 1+ years | |
React.js | 1+ years | |
.NET | 1+ years | |
Selenium | 1+ years |
Symbol | Hosting | Experience |
---|---|---|
Github | 4+ years | |
Gitlab | 2+ years | |
Azure | 1+ years |
Symbol | Editor | Experience |
---|---|---|
Jupyter | 6+ years | |
RStudio | 5+ years | |
Spyder | 4+ years | |
PyCharm | 3+ years | |
VSCode | 3+ years | |
VSCode Web | 4+ years | |
GitHub Codespaces | 3+ years | |
Google Colab | 2+ years |
Symbol | Terminal | Experience |
---|---|---|
Conda | 5+ years | |
Bash | 4+ years | |
CMD | 4+ years | |
PowerShell | 3+ years | |
Ubuntu | 3+ years |
Symbol | DevTools | Experience |
---|---|---|
MDN Dev | 2+ years | |
DevTools | 2+ years | |
Experimental | 2+ years |
ย ย ย ย ย Algoritms 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 (GA)
- Particle Swarm Optimization (PSO)
- Adaline
- Perceptron
- Feedforward Neural Network (FNN)
- Recurrent Neural Network (RNN)
- Convolutional Neural Network (CNN)
- Long Short-Term Memory (LSTM)
- Generative Adversarial Networks (GANs)