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Rania Khan

@raniakhan

I turn complex datasets into actionable insights with Python, SQL, and Power BI.

Canada
Message

What I'm looking for

I'm looking for a data-focused role where I can use Python, SQL, and Power BI to manage end-to-end analytics projects, improve data quality, uncover actionable insights, and communicate findings to cross-functional stakeholders.

At Youth Region Educational Services, I prepare and transform 12,000+ Government of Canada funding agreements into analysis-ready data, using SQL, feature engineering, and business logic to uncover allocation patterns.

I've built data validation models with Random Forest and Linear Regression, achieving an average R² of 0.867 through 5-fold cross-validation. I also design interactive Power BI dashboards that validate data integrity and communicate KPIs clearly to stakeholders.

My work spans predictive real estate analytics, weather-data visualization, and deep learning research for seizure detection using DenseNet and LSTM architectures. I bring a Master of Engineering in Computer Science alongside IBM and OpenEDG Python certifications.

Experience

Work history, roles, and key accomplishments

YY
Current

Volunteer Data Analyst

Youth Region Educational Services (YRES)

Jul 2026 - Present (1 month)

Led end-to-end data preparation and transformation for 12,000+ Government of Canada funding agreements, executing complex data cleansing and feature engineering. Developed SQL queries, built validation models, and designed Power BI dashboards to visualize KPIs.

Education

Degrees, certifications, and relevant coursework

Osmania University logoOU

Osmania University

Master of Engineering, Computer Science

Master of Engineering in Computer Science. Developed a deep learning-based system for automatic seizure detection using EEG signals and co-authored peer-reviewed research.

Osmania University logoOU

Osmania University

Bachelor of Engineering, Computer Science

Bachelor of Engineering in Computer Science.

Tech stack

Software and tools used professionally

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