Nhlakanipho Kwazi Mthembu

Data Engineer at ExploreAI Academy
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Durban, KwaZulu-Natal, South Africa, ZA

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • South Africa
    • Higher Education
    • 1 - 100 Employee
    • Data Engineer
      • Jan 2022 - Present

      Data Engineering Head Teacher:Key Responsibilities• Coordinate and implement delivery of various courses:Python for Data Science, SQL, (Cloud Computing, Storing Big Data, Moving Big Data on AWS-Cloud), Processing Big Data with PySpark• Provide input on Academy content and student technical support• Deliver lectures and interactive webinars on a regular basis• Teaching students how to work with data & applications on AWS-Cloud• Connecting large data sources on the Cloud to create data lakes and building data pipelines with Apache Hadoop & Apache Spark• Working with SQL databases for storing, reading, and updating data• Provide academic and technical support to students through the useof email, forums and interactive webinars• Data Science & Data Engineering student projects supervision and mentorship• Provide coding Tips & Tricks and how to use any software package documentation• Writing research articles with Latex and how to reference• Provide support on project management, planning new project ways-of-work Show less

    • Data Scientist
      • May 2021 - Dec 2021

      Data Science Facilitator• Provide coding Tips & Tricks for Python and Machine Learning Coding Challenges, Python code review• Coordinate Data Science courses, and provide teaching and learning support to students completing the Data Science programmes at Explore AI Academy• Help with content delivery for, Data Visualisation, Programming in Python (logic & functions, and data structures)• How to prepare data for modelling, build regression prediction models, and fine-tune models for better results with supervised and unsupervised machine learning models• Host Weekly Webinars Show less

Community

You need to have a working account to view this content. Click here to join now