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Abbasali-cmd/README.md

Hi, I'm Abbas Ali 👋

I'm a Statistics student at the University of Manitoba interested in data analysis, statistical modeling, and machine learning.

I mainly work in R and also use Python for data cleaning, analysis, and modeling. I'm building projects that combine statistical methods, practical programming, and clear communication of results.

Featured Projects

📊 Canadian Industry Strength Score (CISS)

An analysis of Canadian employment trends using Statistics Canada Labour Force Survey data.

  • Compared year-over-year employment growth across 17 industries
  • Examined growth consistency and sampling uncertainty
  • Tested alternative scoring weights and visualized industry rankings

Tools: Python, pandas, NumPy, Matplotlib

View the project

🏙️ Winnipeg Rental Market Intelligence

An analysis of Winnipeg's rental supply, prices, vacancy, and affordability using CMHC and Statistics Canada data.

Focus: Data cleaning, rental-market analysis, statistical summaries, and visualization.

View the project

🧠 Canada–U.S. Mental Health Analysis

A statistical analysis of mental health and substance-use patterns in Canada and the United States from 2000 to 2021.

Methods: Multivariate analysis, principal component analysis (PCA), regression, time-series analysis, and data visualization.

View the project

Research Project

🔬 Hybrid Abbas Ali Metric (HAAM)

HAAM is an experimental distance metric I'm developing for mixed numerical and categorical data.

It combines transformed numerical differences, feature weights, scaling, and categorical mismatch. I'm testing its performance in K-nearest neighbours (KNN) classification and comparing it with Euclidean, Manhattan, and Gower distance.

Explore the HAAM repository

Tools & Skills

  • Languages: R, Python, SQL, SAS
  • Data analysis: Data cleaning, exploratory data analysis, data visualization
  • Statistics: Regression, PCA, time-series analysis, statistical modeling
  • Tools: RStudio, pandas, NumPy, Matplotlib, Git, GitHub

Current Interests

  • Applied statistics and data analytics
  • Statistical modeling and machine learning
  • Bayesian statistics
  • Distance metrics for mixed-type data
  • Reproducible research

Contact

Popular repositories Loading

  1. hybrid-abbas-ali-metric hybrid-abbas-ali-metric Public

    Experimental distance metric for mixed numerical and categorical data in R.

    R 1

  2. Abbasali-cmd Abbasali-cmd Public

    Config files for my GitHub profile.

    1

  3. haamR haamR Public

    R package implementing the Hybrid Abbas Ali Metric (HAAM), an experimental distance measure for mixed numerical and categorical data.

    R 1

  4. canada-us-mental-health-analysis canada-us-mental-health-analysis Public

    Multivariate statistical analysis of mental health and substance-use patterns in Canada and the United States, 2000–2021, using R, PCA, regression, time-series methods, and data visualization.

    HTML 1

  5. winnipeg-rental-market-intelligence winnipeg-rental-market-intelligence Public

    End-to-end statistical analysis of Winnipeg rental supply, prices, vacancy, and market affordability using CMHC and Statistics Canada data.

    Jupyter Notebook 1

  6. canadian-industry-rotation-employment-strategy canadian-industry-rotation-employment-strategy Public

    Employment-based Canadian industry rotation framework using Statistics Canada data, industry strength scoring, CERI regime detection, out-of-sample testing, and transaction-cost analysis.

    Jupyter Notebook 1