David Otero

Hi, I'm David Otero

David Otero

🇦🇺 Australia

Data Science graduated in Sydney, with hands-on experience in data pipelines, machine learning, data analysis, cloud-based systems, and software development. I work mainly with Python, SQL, Go, and cloud technologies to build practical, data-driven solutions. My background also includes performance-oriented C++ development and real-time systems from previous game development experience.

Check out my latest work

Alpaca Bot

Alpaca Bot

End-to-end financial data pipeline and trading automation project using historical stock data, GRU-based price prediction, feature engineering, and Alpaca API integration. The system selects tickers, generates predictions, and automates order placement using scheduled scripts.

PythonFinancial DataTime SeriesKerasBroker APIAWS
Source
MedAL - Skin Cancer Detection System

MedAL - Skin Cancer Detection System

Deep learning image classification project for detecting malignant skin moles from medical images. The model was built with TensorFlow/Keras using transfer learning, data augmentation, and a recall-first evaluation approach to reduce the risk of missing malignant cases.

PythonTensorFlowKerasTransfer LearningImage ClassificationMedical AIMatplotlib
Source
Stock Pulse

Stock Pulse

Financial sentiment analysis platform that collects stock-related news and classifies sentiment using an NLP microservice. The system combines a C# API, Python FastAPI service, and React frontend to deliver market-related insights through a responsive dashboard.

PythonFastAPINLPC#ASP.NETReactDockerFinancial Data
Source
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Experience

  • Otero Ediciones

    Otero Ediciones

    Software Engineer (Contract)

    🇧🇴 Santa Cruz, Bolivia

  • Robert Menzies College

    Robert Menzies College

    Chief Computer Advisor

    🇦🇺 Sydney, Australia

  • Avis Game Studio

    Avis Game Studio

    Game Developer

    🇪🇸 Remote (Spain)

Otero Ediciones

Otero Ediciones

Software Engineer (Contract)

🇧🇴 Santa Cruz, Bolivia

Nov 2024 - Jan 2025 (3 mos)

SQLGoData PipelinesAWS S3DockerPostgreSQLAngular
  • Engineered an automated processing pipeline for 7,000+ book records, replacing manual workflows with optimized SQL queries and Go-based automation.
  • Cleaned, structured, and validated internal datasets to improve consistency, searchability, and operational reporting.
  • Worked on a Dockerized backend and AWS S3 storage setup to support reliable data storage, access, and distribution.
  • Supported frontend and backend integration for internal data management and catalog visualization.
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Robert Menzies College

Robert Menzies College

Chief Computer Advisor

🇦🇺 Sydney, Australia

Jul 2024 - Apr 2026 (1 yr 10 mos)

Technical SupportIncident ManagementIT OperationsDocumentationLinuxCommunication
  • Managed technical support and troubleshooting for 300+ users, resolving hardware, software, network, and system-access issues.
  • Documented recurring technical issues and solutions, helping improve response consistency and reduce repeated support requests.
  • Applied structured incident-management practices to prioritize issues and maintain reliable technical operations.
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Avis Game Studio

Avis Game Studio

Game Developer

🇪🇸 Remote (Spain)

Feb 2022 - Feb 2023 (1 yr 1 mo)

C++Unreal EnginePerformance OptimizationReal-Time SystemsPathfinding Algorithms
  • Developed real-time pathfinding and gameplay AI systems in Unreal Engine using C++.
  • Improved frame rate performance by 50% through CPU/GPU profiling and memory optimization.
  • Implemented and debugged performance-sensitive gameplay systems, strengthening experience with algorithms, optimization, and low-latency code.
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Education

  • S P Jain School of Global Management

    S P Jain School of Global Management

    Bachelor of Data Science

    Aug 2023 - Apr 2026 (2 yrs 9 mos)
    • Completed a Bachelor of Data Science in Sydney, Australia.
    • Relevant coursework: Machine Learning, Statistics, Data Structures, Databases, Cloud Platforms, Backend Development, and Data Analytics.
    • Developed practical experience in data processing, model development, system design, and cloud-based data workflows.
    • Worked on applied projects combining Python, SQL, machine learning, APIs, and cloud technologies to generate data-driven insights.
    View Institution