Education
Work History
Skills
Timeline
Projects
Hi, I’m

Kapeesh Kaul

Regina,SK

Education

University of Regina
Regina, SK

Master of Science from Computer Science (Data Science)
12.2025

University Overview

  • Completed Coursework: Applied Machine Learning, Big Data and Cloud Computing, Statistics, Data Science Fundamentals
  • Ongoing Coursework: Advanced Machine Learning, Communication in Data Science
  • Current Grade: 91.66%

International Institute of Information Technology
Bengaluru, India

Post-Degree Certificate from Data Science
05.2023

University Overview

  • Specialization in Deep Learning
  • 3.6 GPA; Completed Coursework: Data Toolkit, Machine Learning,
  • Capstone Project: "Telecom Churn Case Study", analyzed customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn
  • Capstone Project: "Lead Scoring in EdTech", built a model to assign a lead score to each of the leads such that the customers with a higher lead score have a higher conversion chance and the customers with a lower lead score have a lower conversion chance

SRM Institute of Science And Technology
Chennai, India

Bachelor of Technology from Computer Science And Engineering
07.2021

University Overview

  • Relevant coursework: “Algorithm Design and Analysis”, “Data Structures”, “Database Management Systems”, “Probability and Queuing Theory”, “Data Science and Big Data Analytics”, “Data Warehousing and Data Mining”, “Machine Learning”, “Natural Language Processing”.
  • Graduation with Distinction, 3.72 GPA
  • Thesis Paper: "COVID-19 Prediction using Trend Identification and Clustering followed by Sequence-Probability driven Prediction", demonstrated the development and use of a purpose-built algorithm for COVID-19 Prediction using a sequence-probability driven approach.
  • Research Project: "Literature Survey: Computational Models for analyzing and predicting the spread of the Coronavirus pandemic" [DOI: 10.1007/978-981-16-5685-9], A comprehensive study on the models being used to predict the spread of Coronavirus
  • Capstone Project: "Flight Delay Analytics", exploratory analysis of a dataset on Flight Delays in R that would aid in Flight Delay and Cancellation expectations of passengers

Work History

University of Regina, SK

Teaching Assistant
01.2024 - Current

Job overview

  • Helped with grading assignments and tests, providing constructive feedback to students based on results.
  • Provided additional support for students with special needs, ensuring they received appropriate accommodations and resources.
  • Collaborated with fellow teaching assistants to create a consistent and supportive learning environment for students.

Verzeo

Machine Learning Intern
06.2019 - 08.2019

Job overview

  • Implemented computer vision ML tools in a team-based project to perform facial feature recognition
  • applied NLP techniques like tokenization to generate text summaries

Skills

    • TensorFlow Framework
    • PyTorch Framework
    • Python Programming
    • Scikit-Learn Library
      • Transfer Learning
      • Big Data Analytics
      • Machine Learning
      • Feature Engineering

Timeline

Teaching Assistant

University of Regina, SK
01.2024 - Current

Machine Learning Intern

Verzeo
06.2019 - 08.2019

University of Regina

Master of Science from Computer Science (Data Science)

International Institute of Information Technology

Post-Degree Certificate from Data Science

SRM Institute of Science And Technology

Bachelor of Technology from Computer Science And Engineering

Projects

NYC Yellow Taxi Trips Data Analysis, Summer 2024

Led a project analyzing 2 GB of NYC Yellow Taxi trip data using Azure Cloud Services and Tableau to uncover patterns in urban mobility.

  • Responsibilities : Designed data pipelines with Azure (Blob Storage, Data Lake, Databricks) for data ingestion, processing, and analysis. Created Tableau dashboards to visualize key insights like peak demand times and revenue trends.
  • Technologies : Azure Cloud, Tableau, Apache Spark, Python, PySpark.
  • Impact : Delivered insights that informed fleet management, pricing strategies, and customer service improvements.


Meme Recreation in Classical Art Style Using Neural Style Transfer, Spring 2024

Applied Neural Style Transfer (NST) with a fine-tuned VGG19 model to recreate modern memes in classical art styles, leveraging transfer learning on the WikiArt dataset.

  • Responsibilities : Developed and optimized NST models to combine meme content with classical art styles. Conducted feature extraction, loss optimization, and model fine-tuning.
  • Technologies : PyTorch, VGG19, Neural Style Transfer, Adam Optimizer, TensorFlow.
  • Impact : Demonstrated the fusion of contemporary digital culture with traditional art, preserving memes in a timeless visual format.

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