Carlos Salazar | Portfolio

About Me

I am a passionate technologist combining Software Engineering, Data Science, and Football Analytics to solve complex problems and build scalable solutions.

I hold a B.Sc in Systems and Computing Engineering from Universidad de los Andes, and I'm currently pursuing a Master's in Data Science at Pontificia Universidad Católica de Chile, alongside a Master's in Big Data Applied to Football Scouting.

Education Journey

Nov 2024 - Jul 2025

M.Sc Big Data Applied to Football Scouting

Sports Data Campus

Sports Data & Scouting, Data Sources & Visualization, Player Performance Analytics (ML), Talent Detection.

Aug 2023 - Jul 2025

M.Sc Data Science

Pontificia Universidad Católica de Chile

GPA: 6.76/7.00. Focus on Time Series, Data Visualization, Responsible Data Science, Statistical and Computational Learning.

Jan 2018 - Oct 2022

B.Sc Systems and Computing Engineering

Universidad de los Andes

GPA: 4.18/5.00. Focus on Data Structures, Algorithm Design, Business Intelligence, Data Science.

Certifications

Coursera

Applied Data Science with Python, Deep Learning, TensorFlow.

Conmebol & MBP

Football Performance Analyst, Advanced Football Performance Analyst, Specialist in Scouting and Game Analysis.

IBM

Enterprise Design Thinking Practitioner.

Professional Experience

Feb 2023 - Present

Software Engineer II

Houm

Promoted from Software Engineer (Jun 2021 - Jan 2023).
Developed integrations with top real estate portals in Mexico, Colombia, and Chile.
Maintained and improved property ranking algorithm to prioritize high-performing listings.
Collaborated with cross-functional teams to deliver reliable integrations with external APIs.

Mar 2021 - Jun 2021

Research Auxiliar

Quantil

Collected and preprocessed public datasets to train forecasting models.
Developed and deployed RNN models to forecast bids from different colombian energetic market agents.

Technical Skills

Languages

Python Java SQL JavaScript TypeScript R

Frameworks

Django FastAPI Flask Spring Boot React Angular Node.js

Data & AI

Pandas NumPy TensorFlow Scikit-learn PostgreSQL MongoDB

Tools & Cloud

Docker Git AWS Airflow Datadog Tableau Power BI

Spoken Languages

Spanish (Native) English (Professional)

Featured Projects

Football Scouting Analytics Platform

Python GenAI Streamlit

Built ETL pipelines from public football sources into a DB (+1,900 players). Developed a Streamlit app with modules for rating, comparison, and automated profiling using GenAI.

House Prices Forecaster

Python TensorFlow Scikit-learn

Experimented with various models (Ridge, Decision Tree, ElasticNet, Neural Networks) individually and via ensembles to optimize house price forecasts. Achieved R² of 95% on training, 92% on test.

Tropical Music Genres Classifier

Python TensorFlow Deep Learning

Applied Transfer Learning to build a model that classifies tropical music genres. Achieved an accuracy of 89% on the training set and 87% on the test set.

EPSAndes Management

Java SQL Databases

Developed application backed by a DB with 1M+ records. Wrote complex SQL queries and optimized indices to achieve a 3x performance boost in data retrieval.

View Code

Telegram Bet Assistant Bot

Python Telegram API

A Telegram bot to save and have control over your bets, built entirely with the Python Telegram library.

View Code

Cipher App

Java Security

A project establishing a secure protocol with a server, encrypting messages between the client and server using Java.

View Code

Interests & Hobbies

Interests

Data Science & Neural Networks Football Performance Analysis Web Development Statistics

Hobbies

Playing Chess Listening to Music