Sample Projects: Project 12: Data Strategy for Micro-Transit Franchise Operations- Architected a scalable data infrastructure supporting predictive analytics and reporting across franchiseoperations, leveraging tools like Google BigQuery, Tableau, and Python. The objectives are to identifypotential growth markets, use the data-driven approach as a value-add for B2B clients, and reduce friction for internal operations.Project 2: Customer Sentiment Analysis for eCommerce- Extracted product feedback data from the e-commerce platform database, cleaned data using PythonPandas for the Machine Learning Model, built customer clustering models, and created a graphicalpresentation of the customer segments based on the NPS scores. The client used the reports to address the concerns of customers in the high-risk cluster.

Project: Fiber optic network expansion- Extracted unstructured geospatial data from Google Maps through XML export for a leading telecom company. - Applied advanced data cleansing techniques to the extracted data and curated highly accurate, reliable, and consistent civic address datasets for non-fiber coverage. - Network design engineers used this dataset for fiber optic layout designing and network expansion of about 1500 km.

- Verification and validation of data from over 10,000 IoT devices, ensuring accuracy and reliability by implementing automated data integrity checks and real-time monitoring systems, resulting in a 25% reduction in data discrepancies. - Used Apache Kafka for real-time data streaming and processing with Google Cloud IoT Core and Python Pandas to automate data verification tasks.- Initiated automation of 316 manual test cases through Robot framework and Python, reducing manual test execution effort by about 65%. This strategic shift enabled the team to focus on the analytical aspect of root cause analysis of escaped defects, improving the production environment's reliability and performance.- Suggested and implemented the practice of unique ID use instead of X-path and class name for user interface objects, which improved UI test stability and execution rate. This initiative contributed to a more robust and reliable testing environment, reducing broken tests and saving test-fixing time. - Researched and implemented a test case management process by integrating the ADO test case repository with Jenkins, resulting in a 100% reduction in manual test case status updates and greater visibility of test case execution. This improved Release Testing with improved test case distribution, tracking, and updates.

- Researched and analyzed production defect data, creating a Tableau dashboard that visualized product quality KPIs. This implementation led to saving approximately 10 hours of weekly manual reporting work.- Developed and executed a test data strategy for a financial organization's fully automated Locker module, encompassing edge cases, exceptions, negative, security, positive, and performance scenarios. This resulted in a feature delivery with just two issues during the UAT stage.- Designed and implemented a Tableau dashboard for root cause analysis of escape defects, pinpointing key issues. Executed strategic actions based on findings, resulting in a reduction of escape defects from an average of 4.25 to 2.75 per month, achieving about 35% improvement in defect containment.

- Prepared custom data extractions from over 100 tables with 1000+ features using the Brightspace Data Extract tool. Verified and cleaned the dataset using Python Pandas. Customers used this extract to build custom reports and dashboards for learning outcome insights analysis. - Collaborated with the Product, Research, and Data Science teams to execute a test strategy for predictive analytics features. Delivered a high-precision model, achieving over 85% accuracy in student success prediction.- Led the Test instances Cloud migration initiative by collaborating with the data migration team, successfully transitioning 9 test instances and associated data to AWS. Implemented a data migration strategy, guaranteeing uninterrupted test instance availability for five testing teams organization-wide. - Achieved a 100% uptime in test instances, facilitating uninterrupted testing during the transition.