Analytics across operations, customer, and finance
I'm a data analytics professional with a Master of Data Analytics and hands-on experience turning messy, real-world data into clear recommendations. My work spans logistics operations at Amazon, customer analytics for a service business, and financial reporting for a banking client.
I'm proficient across the full stack - SQL and Python for analysis, Power BI and Tableau for dashboards, and machine learning for prediction - with a focus on KPI reporting, trend analysis, and process improvement that leaders can act on.
Skills & Technologies
The tools I use to collect, model, visualize, and communicate data.
Data Analytics
BI & Visualization
Databases
Python Libraries
Data Management
Tools & Collection
Experience Timeline
Roles across logistics operations, customer analytics, and financial reporting - plus my academic foundation.
- Exceeded productivity targets by 10–15% through workflow-efficiency analysis and process optimization.
- Maintained 99% processing accuracy while handling 1,500+ packages/shift.
- Reduced dispatch delays by 10% by resolving routing and staging exceptions.
- Cut reporting effort by 40% with automated Power BI dashboards for bookings, revenue & operations.
- Improved scheduling efficiency by 15% via demand & marketing-performance tracking.
- Enhanced customer-journey visibility through GA4 and Google Tag Manager.
- Analyzed 900K+ Toronto bike sharing trip records using Python (Pandas) to identify peak demand and high-utilization stations.
- Built an interactive Streamlit dashboard to visualize ride volume, trip duration, and station demand.
- Performed data cleaning, validation, and exploratory analysis to improve data quality.
- Collaborated using GitHub in an Agile environment for version control and project development.
- Partnered with Sales, Marketing, Operations & Finance teams to analyze business data and build Power BI dashboards using Python and Azure.
- Optimized SQL (Snowflake) queries to improve reporting accuracy and data-retrieval performance.
- Automated data processing and reporting with Python, cutting manual effort and turnaround time.
- Integrated and validated data using Azure Data Factory (ADF) to ensure data quality and consistency.
- Improved data integrity through enhanced validation and reconciliation controls.
- Built KPI dashboards for clearing & settlement operations and financial performance.
Featured Projects
Each is a full case study - business problem, methodology, insights, and impact - on GitHub.
Dashboards & Visualizations
Real dashboards built from project results - model performance and customer segmentation.
▸ Interactive Power BI & Tableau dashboards available in each project repository on GitHub.
Certifications
Verified course completions in analytics, visualization, and cloud.
Moments & Milestones
Graduation, convocation, and life in Ontario, Canada — click any photo to view full-size.
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⤢Let's work together
Open to Data Analyst, Business Analyst, and Operations Analyst opportunities.