Raesetje Sefala

Research Fellow at The Distributed AI Research Institute (DAIR)
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Experience

    • Software Development
    • 1 - 100 Employee
    • Research Fellow
      • Aug 2021 - Present

      Analyzing the effects of spatial segregation over a period of time on satellite images using mainly using computer vision techniques and techniques from other disciplines. Analyzing the effects of spatial segregation over a period of time on satellite images using mainly using computer vision techniques and techniques from other disciplines.

    • Canada
    • Higher Education
    • 300 - 400 Employee
    • Research Intern
      • Oct 2020 - Jul 2021

      Curating spatial datasets for machine learning use, Modifying convolutional neural networks so that they incorporate other spatially related attributes for improved performance; Using image clustering techniques for creating data set splits to efficiently create maps for different landscapes; Building data-oriented models; Optimized the models using various parallelization and vectorization techniques to make the code run faster and more efficiently. Curating spatial datasets for machine learning use, Modifying convolutional neural networks so that they incorporate other spatially related attributes for improved performance; Using image clustering techniques for creating data set splits to efficiently create maps for different landscapes; Building data-oriented models; Optimized the models using various parallelization and vectorization techniques to make the code run faster and more efficiently.

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2020 - Sep 2020

      Using Machine Learning and spatial datasets to build poverty estimate maps for various developing countries in order to assist their governments to prioritise regions in most need for COVID19 relief grants. Using Machine Learning and spatial datasets to build poverty estimate maps for various developing countries in order to assist their governments to prioritise regions in most need for COVID19 relief grants.

    • Data Science Fellow
      • May 2018 - Aug 2018

      The Data Science for Social Good Fellowship is a University of Chicago summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Nearly 2,000 people die annually as a result of being involved in traffic-related accidents in Jakarta, Indonesia. The city government has invested resources in thousands of traffic cameras to help identify potential short-term (e.g. vendor carts in a hazardous location) and long-term (e.g. poorly engineered intersections) safety risks. However, manually analysing the available footage is an overwhelming task for the city’s Transportation Agency. In support of the Jakarta Smart City initiative, our team hopes to build a video-processing pipeline to extract structured information from raw traffic footage. This information can be integrated with collision, weather, and other data in order to build models which can help public officials quickly identify and assess traffic risks with the goal of reducing traffic-related fatalities and severe injuries. Show less

    • South Africa
    • Research
    • 700 & Above Employee
    • Data Analyst intern
      • Nov 2017 - Feb 2018

      Data analytics on Social media, Renewable energy and computer vision data as well as building machine learning and Bayesian models to solve problems Data analytics on Social media, Renewable energy and computer vision data as well as building machine learning and Bayesian models to solve problems

    • Data Analyst intern
      • Jun 2017 - Jul 2017

      Data analytics on Social media, Renewable energy and computer vision data as well as building machine learning and Bayesian models to solve problems Data analytics on Social media, Renewable energy and computer vision data as well as building machine learning and Bayesian models to solve problems

    • Interest group host
      • Mar 2016 - May 2017

      Hosting a robotics interest group at Wits university for Mathematical Sciences students teaching the logic of robotics Hosting a robotics interest group at Wits university for Mathematical Sciences students teaching the logic of robotics

    • South Africa
    • Augmented reality app developer
      • Feb 2016 - Oct 2016

      Developing augmented reality apps in unity, c# and vuforia for both desktop and mobile phones Developing augmented reality apps in unity, c# and vuforia for both desktop and mobile phones

    • Transportation, Logistics, Supply Chain and Storage
    • 1 - 100 Employee
    • Web developer and designer
      • Feb 2016 - Jun 2016
    • United States
    • Civil Engineering
    • 1 - 100 Employee
    • Junior Applications Developer
      • Jun 2014 - Dec 2014

      Vacation work: • Monitor and assist with research and upgrades of business applications. • Shadowing on managing the company’s back- up and storage systems. • Perform Network troubleshooting with configurations. • Learn how business processes are carried out and how the company implements and maintains systems (such as SAP). Vacation work: • Monitor and assist with research and upgrades of business applications. • Shadowing on managing the company’s back- up and storage systems. • Perform Network troubleshooting with configurations. • Learn how business processes are carried out and how the company implements and maintains systems (such as SAP).

Education

  • Mila - Quebec Artificial Intelligence Institute
    Doctor of Philosophy - PhD, Artificial Intelligence
    2022 -
  • University of the Witwatersrand
    Master of Science - MS, Computer Science
    2018 - 2020
  • University of the Witwatersrand
    Bachelor of Science (B.Sc.) honours, Big Data Analytics and Computer Science
    2017 - 2017
  • University of the Witwatersrand
    Bachelor of Science (BSc) Computer science and Information Systems, Computer science and Information Systems
    2014 - 2016

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