LEARNINGS

University of Chicago

MS in Applied Data Science

September 2024 – December 2025 

Coursework: 

Time Series Analysis and Forecasting
Statistical Models for Data Science
Machine Learning I
Machine Learning II
Data Engineering Platforms for Analytics or Big Data and Cloud Computing
Leadership and Consulting for Data Science

DataCamp

  • Data Scientist with Python Track (88 Hours)
  • Python Programmer (59 hours)
  • Data Engineer Track with Python Track (73 hours)
  • SQL Server Developer Track (41 hours)
  • SQL Server Developer Track (41 hours)
  • Machine Learning Scientist with Python (93 hours)
    I have tons of other courses completed as well which you can view at my Datacamp portfolio:

https://www.datacamp.com/portfolio/jazilkalim

Microsoft Azure

Modules Completed: 49
Training Hours Completed: 32 hr 36 min

Important Learning Paths Completed:

  • Design a machine learning solution
  • End-to-end machine learning operations (MLOps) with Azure Machine Learning
  • Work with generative artificial intelligence (AI) models in Azure Machine Learning
  • Experiment with Azure Machine Learning
  • Optimize model training with Azure Machine Learning
  • Manage and review models in Azure Machine Learning
  • Train and deploy a machine learning model with Azure Machine Learning
  • Deploy and consume models with Azure Machine Learning
  • Work with compute in Azure Machine Learning
  • Work with data in Azure Machine Learning

View Transcript:

https://learn.microsoft.com/en-us/users/jazilkalim-6416/transcript/vj5o6uqym0nz288

NED University Of Engineering & Technology

Bachelor’s in Mechanical Engineering

2016- 2020

FYP Electric Vehicle Modelling for Battery Specifications in MATLAB
Relevent Coursework:

  • Applied Probability & Statistics
  • Calculus
  • Ordinary Differential Equations & Fourier Series
  • Computer Programming & Application
  • Advanced Calculus & Linear Algebra
  • Advanced Mathematical Techniques