Samir Ibrahim

Canadian Mental Health Data Analytics Platform

Question: How are population-level mental health trends shifting across Canada, and where should public-health attention focus?

What I did: Cleaned StatCan and CIHI exports, built a 27-question SQL layer, shipped a Next.js dashboard, and deployed a FastAPI live prediction service.

Key finding: Provincial and youth-crisis indicators vary sharply by region — patterns are associational, not causal, and require population-level framing.

Business value: Gives policymakers and analysts an explorable view of trends instead of static notebook output, with responsible caveats built in.

Impact (Potential): Supports faster exploration of public mental-health trends; formal measured outcomes depend on stakeholder adoption.

Python · Pandas · SQL · scikit-learn · Next.js · TypeScript

GTA Housing Affordability

Question: How affordable is renting in different Greater Toronto Area municipalities when rent is compared to local household income?

My role: Worked with Samriti (project lead) and Rebal on the team pipeline — data extraction, cleaning and joining rent and income datasets, SQL KPI analysis, and dashboard preparation in Microsoft Fabric and Power BI.

Key finding: Affordability varies sharply by municipality; city-level (CSD) data reveals differences that CMA-wide averages hide.

Business value: Helps frame where rent-to-income pressure is highest across GTA cities such as Brampton, Mississauga, Toronto, Oakville, and Markham.

Impact (Potential): Supports municipal-level housing affordability comparisons; formal measured outcomes depend on dashboard completion and stakeholder use.

Python · SQL · Microsoft Fabric · Power BI · CMHC data · Statistics Canada

Bitcoin Price Signal System

Question: Can economic indicator data help flag likely Bitcoin price direction shifts?

What I did: Built a Python pipeline for data collection, analysis, and signal generation with a local API and desktop GUI.

Key finding: Economic data can be structured into repeatable direction signals — experimental, not financial advice.

Business value: Demonstrates end-to-end data ingestion, analysis, and delivery for financial indicator monitoring.

Python · Pandas · Selenium · PyQt6 · APIs

DCI Global Network Explorer

Problem: Research institutions working on digital currency needed a visible, explorable network map instead of scattered listings.

My role: Built the platform with 3D globe and 2D map views, entity profiles, research filters, and an admin CRUD dashboard.

Result: Deployed on Vercel with 17+ mapped institutions and interactive entity exploration.

Next.js · Vercel · Maps · Admin dashboard · CRUD