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Taaliah AyubTA
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Taaliah Ayub

@taaliahayub

Computer Science graduate and Operations Analyst turning data into clear, business-ready insights.

Canada
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What I'm looking for

I’m looking for a role where I can build trustworthy SQL/Python reporting, create dashboards, and partner with stakeholders to turn complex data into actionable decisions.

I’m a Computer Science graduate with hands-on experience turning raw data into clear, business-friendly insights for both technical and non-technical stakeholders. I build reliable analytics workflows using SQL and Python, and I’m comfortable owning reporting deliverables from requirements through validated outputs.

In my recent Operations Analyst role, I interfaced directly with operational teams to uncover pain points, translate needs into structured workflow solutions, and communicate technical decisions clearly. In my projects, I’ve delivered end-to-end solutions like an inventory management system with SQL analysis, interactive dashboards (Power BI and React), and demand forecasting—plus rigorous data validation to keep stakeholders confident in the numbers.

Experience

Work history, roles, and key accomplishments

GC

Operations Analyst

Glenashton Medical Clinic

Jul 2025 - Oct 2025 (3 months)

Interfaced with clinical staff to identify operational pain points, translate requirements into structured workflow solutions, and communicate decisions clearly to technical and non-technical stakeholders. Designed reliable data workflows to accelerate adoption of clinical information systems.

Education

Degrees, certifications, and relevant coursework

McMaster University logoMU

McMaster University

B.A.Sc (Honours Computer Science), Computer Science

2021 - 2026

Grade: 3.6/4.0 cGPA

Activities and societies: Relevant coursework: Data Analysis Project Course, Fundamentals of Machine Learning, Natural Language Processing, Databases, Software Testing, Data Structures & Algorithms.

B.A.Sc (Honours Computer Science) at McMaster University with a minor in Physics, developing strong skills in data analysis, databases, machine learning, and natural language processing.

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