David Hasson

David Hasson

Biography

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.

Interests

  • Operations Research
  • Analytics
  • Cloud Computing

Education

  • Master in Operations Management, 2018

    Universidad de Chile

  • Mathematical Engineering, 2018

    Universidad de Chile

Skills

Optimization

AMPL, GAMS, Gurobi, CPLEX
Applications to Logistics, Production Planning, Supply Chain, Revenue Management among others

R&D

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

Analytics

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

Python

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

Communication

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

Experience

 
 
 
 
 

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.

Accomplish­ments

AWS Machine Learning Scholarship

Amazon Web Services and Udacity Aug 2020
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

Amazon Web Services Jan 2020 – Jan 2023

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