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Deepti Gunjal

@deeptigunjal

Quality/Business Analyst at Amazon who reduced investigator workflow defects by 15.91% and automated gift card sanitization.

India

Message

At Amazon, I analyse high-risk financial and payment operations, including gift card transactions, fraud patterns, suspicious activity, and account takeover risks. I use SQL, Advanced Excel, and Power BI to monitor KPIs, validate transactions, and identify process gaps.

I reduced investigator workflow defects by 15.91% through audit analysis and corrective actions, and automated gift card sanitization to reduce manual workload by 21% across orders monthly. I also introduced device-history and geographic-location risk indicators to flag potential account takeovers.

Alongside my work at Amazon, I’m strengthening my analytics capabilities through the Executive Programme in Business Management at IIM Calcutta. For my capstone, I developed TRUST-IR, an aviation service recovery framework based on survey insights from 109 passengers.

Experience

Work history, roles, and key accomplishments

Current

Quality/Business Analyst

Current

Amazon

Nov 2020 - Present (6 years)

Analysed high-risk financial and payment operations, including gift card transactions, fraud patterns, and account takeover risks. Drove root cause analysis, risk mitigation, and operational improvements while collaborating with stakeholders on business requirements and Agile initiatives.

SQL Excel Power BI Data Analysis KPI Monitoring Root Cause Analysis Fraud Detection Risk Mitigation Process Improvement Agile Jira Stakeholder Management Quality Assurance Data Quality Workflow Automation performance reporting

Education

Degrees, certifications, and relevant coursework

Saptagiri College of Engineering

Bachelor of Engineering, Computer Science & Engineering

Bachelor of Engineering in Computer Science & Engineering.

Indian Institute of Management Calcutta

Executive Programme in Business Management, Business Management

Grade: Excellent

Activities and societies: Capstone Project: Developed TRUST-IR, an aviation service recovery framework, using survey insights from 109 passengers. Built an illustrative scenario model covering 166.9 million domestic journeys, assuming 10% exposure. Defined six performance KPIs and a phased implementation roadmap to improve aviation disruption recovery.

Executive Programme in Business Management with excellent grades in 10 of 13 components, including Business Analytics, Digital Transformation, and Operational Excellence. Completed coursework in Financial Reporting, Cost Accounting, Corporate Finance, and business management.