Data/Business Analyst with 3+ years of experience using SQL, Python, and BI tools to build data models and ETL pipelines, transforming complex data into actionable insights and scalable solutions.
Analyzed clinical data using SQL and optimized SQL queries for reporting compliance and accuracy, Built data models and ETL pipelines to improve processing efficiency by 30%, Created Power BI dashboards for visualizing KPIs
Analyzed clinical data using SQL and optimized SQL queries to generate monthly and quarterly reports for Health Canada, VCH, and Providence Health, ensuring compliance, accuracy, and speed.
Built data models and ETL pipelines using Azure Data Factory and Synapse Analytics, improving processing efficiency by 30%.
Created Power BI dashboards to visualize KPIs for Counseling and Nursing programs, delivering actionable insights to leadership.
Collaborated with clinical and IT teams to align data reporting with compliance and strategic goals.
Led clinical data migration to Azure Cloud, ensuring minimal disruption by coordinating with internal and external team.
Utilized Python libraries (Pandas, NumPy, Matplotlib) to extract, clean and analyze complex claims data, uncover fraud patterns, and improve case prioritization and workflows.
Performed code reviews on GitHub and used Git to track and manage Python scripts used for data cleaning, fraud detection, and reporting automation.
Designed interactive Tableau dashboards to visualize key trends and anomalies in claim suppression cases, enabling investigative teams to identify critical insights at a glance.
Applied UI/UX principles to design dashboards that effectively communicated complex data trends to investigative teams.
Utilized Python libraries for data analysis and fraud detection, Designed Tableau dashboards to visualize key trends, Applied UI/UX principles for dashboard design
Built Excel reports using pivot tables, VLOOKUPs, advanced formulas, and data visualization tools to track student engagement metrics, helping stakeholders address underperforming areas.
Used Python for data cleaning and R for statistical analysis, uncovering trends that improved retention strategies and boosted engagement by 25%.
Analyzed program data with stakeholders to refine strategies, increasing student participation.
Implemented A/B testing to evaluate and refine student engagement strategies, optimizing student programs based on statistically significant results.
Built Excel reports with pivot tables and VLOOKUPs; utilized Python and R for analysis; implemented A/B testing to assess and improve engagement strategies.
Developed and maintained ETL pipelines for the Q-OBE Learning Management Platform, utilized by over 1,000 university students.
Designed Entity Relationship Diagrams (ERDs) for domain modeling, effectively visualizing data interactions between entities such as students, courses, and instructors.
Applied SQL and R for data analysis, extracting key insights to identify significant business trends.
Implemented OLAP techniques to design dashboards with Power BI, resulting in a 40% increase in actionable insights.
Developed and maintained ETL pipelines, designed ERDs for domain modeling, applied SQL and R for data analysis to uncover business trends and insights.
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