David Otero Picture
David Otero Picture

{

"name": "david_otero",

"occupation": "Studying Data Science",

"skills": ["AI/ML", "software development"],

}

Professional Experience

Chief Computer Advisor
Game developer in Avis Game Studios
  • Diagnosed and resolved hardware/software issues, improving system reliability and optimizing performance for end-users.

  • Managed operating system installations and configurations (Windows, macOS, Linux) to ensure a stable and secure computing environment.

  • Provided technical support, helping users troubleshoot technical issues while developing strong communication and problem-solving skills.

  • Implemented AI-driven mechanics by designing NPC behavior, decision trees, and player interactions using C++ in UE4.

  • Optimized game performance by profiling and improving data structures, reducing memory usage, and enhancing computational efficiency.

  • Implemented procedural content generation that dynamically adjusted environments and character interactions based on predefined conditions.

Mar 2022 - Mar 2023

Project of Avis Game
Project of Avis Game
text
text

Sep 2024 - Present

Projects

Data-driven decision-making using SQL and Python

A high-performance DataFrame package written in Golang

Grizzly Golang Icon
Grizzly Golang Icon
Stats Graph
Stats Graph

A powerful Machine Learning package written in Golang

Gorillaz ML Icon
Gorillaz ML Icon

Videogame developed in Unreal Engine and C++

Salyut Pi header
Salyut Pi header

A comparative analysis of machine learning models to estimate house prices based on key property features

A person putting a house key into a wallet
A person putting a house key into a wallet

Landing page with interactive catalog and company history.

Frontend: Github repository

Backend: Github repository

Stock Forecasting & Automated Execution

A deep learning-based algorithmic trading system, using a custom Keras model.

Training Pipeline: GitHub Repository

Deployment Scripts: GitHub Repository

red and blue light streaks
red and blue light streaks

Education

SP Jain School of Global Management, Sydney

Relevant Coursework:

  • Data Science, Machine Learning, Data Mining, Data Warehousing & Integration

  • Databases (MySQL, SQL), Data Structures & Algorithms

  • Statistics, Calculus, Linear Algebra, Discrete Mathematics

  • Data Analytics, Visual Analytics, Simulation Modeling

  • Big Data, Marketing Research

Technical Skills:

  • Python: Pandas (Data Manipulation), TensorFlow (Deep Learning), scikit-learn (Machine Learning), keras (Deep Learning)

  • R: Data analysis, statistical modeling, and visualization

  • SQL: Database querying, data extraction, and complex joins for analysis & reporting

  • Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, R for interactive insights

Semester 5 (Ongoing)

Skills

Python
C++
TensorFlow
Numpy
TensorFlow Icon
TensorFlow Icon
Numpy Icon
Numpy Icon
Python Icon
Python Icon
C++ icon
C++ icon
Git
Polars
Polars Icon
Polars Icon
Matplotlib Icon
Matplotlib Icon
Matplotlib/Seaborn
Golang Icon
Golang Icon
Golang
PostgreSQL icon
PostgreSQL icon
PostgreSQL
Pandas Icon
Pandas Icon
Pandas
AWS Icon
AWS Icon
AWS

Programming Languages

R Icon
R Icon
R

Libraries and Frameworks

Tools

Excel Icon
Excel Icon
Excel
Tableau Icon
Tableau Icon
Tableau
PowerBI
PowerBI Icon
PowerBI Icon
Angular
Javascript
Typescript
Keras
PyTorch

About Me

I am a passionate Data Science and AI enthusiast with a strong background in software development, machine learning, and data-driven problem-solving. Currently pursuing a Bachelor’s in Data Science, I have built expertise in Python, Golang, R, and SQL, along with frameworks like TensorFlow, Keras, and scikit-learn. My work spans data analysis, predictive modeling, and AI development, and I thrive on optimizing performance and building scalable solutions.

Beyond data science, I have experience in game development, where I programmed core mechanics for a first-person immersive sim in Unreal Engine 4 using C++. I also developed Grizzly, a high-performance DataFrame package in Golang, and Gorillaz, a machine learning library that leverages multithreading for efficient model training. My ability to integrate software engineering, AI, and data science allows me to build powerful and optimized solutions.

I am always eager to explore new technologies, innovations, and research in AI and data science. Whether working on business analytics, deep learning models, or high-performance computing, I enjoy tackling complex problems and developing solutions that make an impact. Let’s connect and collaborate on projects that push the boundaries of data-driven decision-making!

Wanna talk?

I’m always excited to dive into AI, data science, and innovative tech. Whether it’s business analytics, deep learning, or high-performance computing, I love solving complex problems and building impactful solutions. Let’s connect and create something amazing!