yashaswika34

• Built ETL pipelines to process and integrate financial transaction data from NoSQL to PostgreSQL, and visualized insights through 20+ Tableau dashboards tracking KPIs, transaction volumes, churn cohorts, and app engagement.
• Conducted chargeback fraud analysis to identify suspicious transactions, mitigating financial risk and improving fraud detection accuracy.
• Assisted in developing KPI reports, benchmarks, and automated alerts, giving teams better visibility into account health, retention opportunities, and performance trends.
• Leveraged Google Analytics to track web and app traffic behavior, integrating insights into Tableau dashboards to enhance user engagement metrics and conversion analysis.
• Contributed to Customer Success initiatives by providing data insights that supported portfolio ARR growth from ~$3M to ~$5M.
• Collaborated with cross-functional teams using JIRA and Confluence to track ETL development tasks, document data workflows, and streamline sprint planning for on-time delivery.
• Implemented data quality checks and validation frameworks within ETL pipelines, ensuring 99% accuracy in transaction records and reducing downstream reporting errors.

• Gathered and analyzed enrollment data from sources like UNCgene and the Provost database, producing reports for the academic calendar year.
• Built dashboards and reports in SQL and Tableau to compare enrollment trends, year-over-year changes, and key metrics for decision-making.
• Presented findings to the provost, highlighting trends and percentage changes in student enrollments.
• Participated in Microsoft Hack-4-Good Hackathon, contributing to a 40% improvement in event outcomes.

• Analyzed coded contacts to spot patterns and trends, which helped reduce repeat issues and improve customer experience.
• Turned insights into clear and simple decks so stakeholders could quickly understand and act on the findings.
• Suggested product and process changes that made day-to-day operations smoother.
• Built Pay for Performance scorecards for US&C and Global teams, making performance tracking more transparent and reliable.
• Automated data flows and onboarding processes with ETL pipelines, cutting down ~40% of repetitive manual work.
• Improved accuracy by fine-tuning Google Sheets formulas and checks, reducing errors by ~25%.
• Used statistical analysis to evaluate A/B test outcomes and guide product and process improvements.
• Worked closely with global and regional stakeholders to ensure decisions were backed by solid, data-driven insights.
• Contributed to key projects like understanding driver sentiment on the new SPOT pricing model, improving CommOps, and detecting product issues early.