● Improved Investigation Efficiency: Implemented automated data extraction processes in SQL, reducing investigation time by 40% and allowing for reallocation of resources towards proactive fraud prevention efforts.● SQL end to end Project: Designed a dashboard to maintain the sanity of platform that retrieved data such as reviews, device match, history etc. which led to better decision making in regards to the fraudulent activities● Training and Knowledge Sharing: Led training sessions on advanced techniques for fraud analysis, empowering team members to independently analyze data and contributing to a 10% increase in departmental productivity.● Streamlined Processes: Utilized Power BI dashboards to visualize and track fraud patterns, leading to a 30% improvement in identifying emerging fraud trends and enabling prompt countermeasures● Customer Satisfaction: Deployed proactive fraud prevention measures resulting in a 15% decrease in customer complaints related to fraudulent activities, thereby improving overall customer satisfaction.● Enhanced Detection Accuracy: Created and executed Excel-based fraud detection models, increasing detection accuracy by 15% and resulting in a decrease of false positives by 25%.● Improved Fraud Risk Assessment: Enhanced the organization's fraud risk assessment process by identifying vulnerabilities and implementing appropriate controls to mitigate risks effectively.

 Projects• Learning Management System Analytics (Nov 2020- Jun 2021)-To analyze LMS data to leverage data driven insights to improve the effectiveness of educational offerings, enhance user engagement and provide a better learning experience for students within the platform. Team Size-25 Tools Used: SQL, Advanced Excel, Power BIResponsibilities:• Analyzed user interactions with the learning platform to identify usability issues, bottlenecks, and areas for improvement.• Collaborated with product and engineering teams to implement data-driven enhancements to the learning platform, such as personalized recommendations, and adaptive learning algorithms.• Generated actionable insights to inform curriculum development, instructional design, and personalized learning interventions.• Evaluated the effectiveness of educational content and learning materials through content usage analysis, student feedback, and learning outcome assessments.

● Enhanced Operational Efficiency: Introduced operational monitoring dashboards leveraging Python libraries and SQL queries, enabling real-time tracking of system performance metrics. This initiative facilitated proactive identification and resolution of operational bottlenecks, resulting in a 15% increase in overall system uptime● Performance Analytics: Designed and maintained comprehensive dashboards and reports to track key performance indicators (KPIs) such as user engagement, retention rates, and course completion rates, enabling data-driven decision making and improving overall student success by 15%● Improved Data Accuracy and Integrity: Implemented data quality checks and validation procedures within ETL workflows, resulting in a 5% decrease in data errors. Ensured high data integrity standards, critical for decision-making processes.● Cost Saving: Identified cost-saving opportunities by analyzing vendor contracts and negotiating new agreements. Analyzed testing plans to identify and address software defects, increased user satisfaction.● Performance Metrics Tracking: Developed and maintained key performance indicators (KPIs) dashboards, providing real-time visibility into operational performance and enabling proactive decision-making.● Continuous Improvement: Proactively gathered feedback from internal stakeholders and executed process improvements iteratively, fostering a culture of continuous improvement within the organization.