KEERTHIKA BOTTU
Sydney
Summary
Results-oriented specialist with over four years of experience in fraud risk prevention and business operations at Amazon, currently pursuing a Master of Business Analytics (Extension) at UTS, Sydney. Actively seeking internship opportunities during the academic break from November 2025 to February 2026. Proven track record of generating actionable insights that significantly reduced fraud-related write-offs by over 1494 basis points, resulting in savings exceeding €114K. Recognized for leading data-driven investigations, implementing process improvements, and driving business transformation through system enhancements and effective cross-team collaboration.
Overview
8
8
years of professional experience
Work History
Educator (Level 1.1)
Complete Staff Solutions
02.2025 - Current
- Provide care and educational support to children across various OSHC programs in multiple schools.
- Highly dynamic and adaptive role involving engagement with diverse staff and children daily.
- Responsible for assisting with after-school activities, food service, safety monitoring, and classroom cleanliness.
Catalog Specialist – Buyer Risk Investigations
Amazon
01.2020 - 10.2023
- Spearheaded a data-driven insight that identified identity theft as the leading fraud modus operandi in Monthly Invoice (MI) defects, leading to SOP and ML enhancements. This reduced fraud write-offs by 1494 bps and saved over €114.7K.
- Proposed an enhancement to the customer address widget by including account holder names, reducing ambiguity for investigators and improving identity verification, a potential 421 bps improvement.
- Recommended a structural revamp of the Guided Workflow (GWF) questionnaire to improve the detection sequence of identity theft, strengthening fraud classification accuracy and reducing manual errors.
- Developed and implemented a new SOP to address the ‘Sleeper Modus Operandi’, accounts lying dormant and later used for fraud, resulting in a defect reduction from 12.99% to 0.9% (a 1209 bps improvement).
- Identified that 9.13% of defects originated from ML rule misses tied to ‘Get Sign-ins’ and network/browser mismatch attributes. This insight led to recalibrated ML rules, improving fraud detection rates.
- Created and distributed targeted training flyers for investigators and launched cross-functional awareness campaigns, reducing repeat investigator errors by 15% and ensuring long-term process consistency.
Business Operations Specialist – Order Performance
Amazon
04.2019 - 12.2019
- Monitored seller performance against defined operational thresholds and automated insights reporting.
- Contributed to early-stage operational improvements within the Order Performance vertical.
- Coordinated multiple projects simultaneously while maintaining quality standards and meeting tight deadlines consistently throughout each project lifecycle phase.
- Led process automation initiatives that increased efficiency and reduced manual workload across various departments within the organization.
Customer Service Representative
Amazon
07.2017 - 04.2018
- Delivered empathetic and solutions-focused support for Amazon customers across voice and email channels.
- Recognized for consistent CSAT scores and effective dispute resolution.
- Managed high-stress situations effectively, maintaining professionalism under pressure while resolving disputes or conflicts.
- Resolved customer complaints with empathy, resulting in increased loyalty and repeat business.
Education
Master's Degree - Masters of Business Analytics
University of Technology Sydney
05-2026
Bachelor of Technology - Electronics & Communication Engineering
CMR Institute of Technology
01.2017
Skills
- Audit Lifecycle Ownership & Insight Generation
- Fraud Risk Analytics & Identity Theft Detection
- ML Optimization and Policy/SOP Recommendations
- Stakeholder Engagement and Program Enablement
- Microsoft Excel, SQL, SAS, SharePoint
- Cross-functional Training and Documentation
- Process Automation and Root Cause Analysis
Key Skills Developed During Masters
- Data Analysis & Visualization: Tableau, Excel, Power BI [Intermediate Level]
- Programming: Python (Pandas, NumPy, Matplotlib), SAS [Intermediate Level]
- Financial & Business Analytics: Profitability, Forecasting, Customer Analytics [Intermediate Level]
- Communication & Collaboration: Studio projects, cross-functional team presentations
Timeline
Educator (Level 1.1)
Complete Staff Solutions
02.2025 - Current
Catalog Specialist – Buyer Risk Investigations
Amazon
01.2020 - 10.2023
Business Operations Specialist – Order Performance
Amazon
04.2019 - 12.2019
Customer Service Representative
Amazon
07.2017 - 04.2018
Bachelor of Technology - Electronics & Communication Engineering
CMR Institute of Technology
Master's Degree - Masters of Business Analytics
University of Technology Sydney
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