Muhammad Asad

Data Scientist

https://talent.gravityer.com/muhammad-asad-1

AI / Machine Learning Student and Software Developer

Member since June 27, 2026

Key Strengths

Demonstrated interest in data analysis and machine learning through personal projects like 'TTC-PULSE' and 'Medical-Diagnosis-Risk-Scoring-using-Bayesian-Networks'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Projects like 'CityPulse_AI' show an understanding of applying AI to real-world problems like crowd management and demand forecasting.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate an interest in public service and urban data analysis ('TTC-PULSE', 'CityPulse_AI'), which could align with organizations focused on social impact or smart city initiatives. The diversity of project topics (data analysis, web development, machine learning) suggests a broad curiosity, but also a potential lack of deep specialization in a single area. The absence of team projects or collaborative descriptions makes it difficult to assess cultural fit in a team environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

market-dashboard

June 26, 2026 – Present

market-dashboard — GitHub repository

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CityPulse_AI

May 25, 2026 – Present

AI demand balancing software for Toronto's major-event economy. To guide visitors to better TTC routes, gates, restaurants, and public spaces by helping TTC and city operators detect crowd imbalance and recommend diversions. To help businesses forecast demand, staffing, food prep, and hours by using Toronto open data portal powered by agentic AI

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EECS-6320-Final-Project

April 1, 2026 – Present

EECS-6320-Final-Project — GitHub repository

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Shia-Stream-Landing

March 22, 2026 – Present

Shia-Stream-Landing — GitHub repository

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TTC-PULSE

March 3, 2026 – Present

This project proposes a scalable data analytics and interactive visu- alization framework for analyzing TTC ridership patterns, service delays, and congestion dynamics using large-scale open datasets.

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Medical-Diagnosis-Risk-Scoring-using-Bayesian-Networks

December 28, 2025 – Present

Course work Project: Probabilistic Models and Machine Learning

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portfolio

December 23, 2025 – December 23, 2025

portfolio — GitHub repository

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Final-Data-Mining-Project

December 22, 2025 – Present

Final-Data-Mining-Project — GitHub repository

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Data-Mining-Project-Baseline

October 18, 2025 – November 5, 2025

Data-Mining-Project-Baseline — GitHub repository

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ipt

November 12, 2022 – November 29, 2022

ipt — GitHub repository

View Project

Key Strengths

Demonstrated interest in data analysis and machine learning through personal projects like 'TTC-PULSE' and 'Medical-Diagnosis-Risk-Scoring-using-Bayesian-Networks'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Projects like 'CityPulse_AI' show an understanding of applying AI to real-world problems like crowd management and demand forecasting.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Muhammad Asad

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit