David Hasson

David Hasson


My interests include Operations Research, Mathematics, and their applications to real-world challenges. My aim is to bridge state-of-the-art approaches and methods with concrete practice. I try to keep constantly learning, currently growing my knowledge about the cloud, large-scale optimization techniques and technology in general.


  • Operations Research
  • Analytics
  • Cloud Computing


  • Master in Operations Management, 2018

    Universidad de Chile

  • Mathematical Engineering, 2018

    Universidad de Chile



Applications to Logistics, Production Planning, Supply Chain, Revenue Management among others


With 2+ years experience in applied research, interested in designing, prototyping and implementing innovative solutions for complex challenges


Create technological solutions and decision-support tools relevant to organizations using Machine Learning, Predictive and Prescriptive Modeling, Simulation


4+ years working with the Python data stack:
NumPy, NetworkX, Pandas, PySpark, Matplotlib, SciPy, Scikit-learn, Seaborn

Software Development

High focus to keep improving tech skills, creating code that’s modular and scalable
General tools: Git, Docker, AWS


After years of teaching and consulting experience, working cross-functionally with technical and non-technical stakeholders



Data Scientist

Deloitte Consulting

Dec 2019 – Present Chile

At Omnia, the AI and Advanced Analytics practice.
Responsibilities encompass a constant cycle:

  • Understanding the business side
  • Data acquisition, analysis and understanding
  • Modelling
  • Deployment
  • Validating that the system meets the customer’s needs
  • Learning a lot!

Data Scientist

Brain Food

Aug 2018 – Nov 2019 Chile

Boutique consulting firm focused on analytics and digital transformation.
Responsibilities included:

  • Collaborating in business proposals for potential clients.
  • Support in translating customers’ business needs into data-driven approaches in Advanced Analytics projects, including meetings with stakeholders from various disciplines and hierarchies, definition of deliverables and planning.
  • Development of solutions for decision-making in several industries.


AWS Machine Learning Scholarship

The top 325 among thousands of students of the ‘AWS Machine Learning Foundations Course’ were selected for a scholarship to pursue the AWS Machine Learning Engineer Nanodegree. This course teaches how to apply predictive models to massive datasets, using cloud computing.

AWS Certified Cloud Practitioner

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