Summary
Overview
Work History
Education
Skills
Awards
Work Preference
Accomplishments
Work Availability
Quote
Software
Languages
Interests
Websites
Affiliations
Timeline
Generic
RAKESH PENJARLA

RAKESH PENJARLA

Fraud & Risk Analyst | Ex-Amazon | Master’s In Management | Skilled In Fraud Detection, Risk Mitigation & Data-Driven Decision Making
Tampa,FL

Summary

Results-driven professional with 3 years of experience, including 2+ years at Amazon, specializing in fraud detection, compliance monitoring, and risk analytics. Skilled in leveraging data-driven investigations and cross-functional collaboration to assess and mitigate operational risks. Proven track record of supporting and enhancing risk management frameworks, delivering measurable improvements in high-paced environments. Personable and analytical individual with a strong focus on identifying and mitigating risks. Familiar with fraud detection techniques and data analysis tools to ensure accurate and efficient investigations. Committed to protecting organizational assets and minimizing financial losses.

Overview

4
4
years of professional experience
6
6
years of post-secondary education

Work History

Transaction Risk Investigator

AMAZON
01.2021 - 12.2022
  • Investigated over 500+ high-risk transactions monthly, identifying and mitigating potential fraud, resulting in a 15% reduction in financial losses through enhanced risk assessment and anomaly detection techniques.
  • Conducted detailed compliance monitoring and root cause analysis on suspicious activities, aligning with internal controls, regulatory standards, and SOC audit processes.
  • Partnered cross-functionally across multiple departments and geographies to manage risk remediation, flagging over 300 exceptions, and supporting resolution through standardized governance practices.
  • Utilized data-driven dashboards and automated reports to streamline case management workflows, improving issue escalation speed by 30% and enhancing reporting mechanisms for senior leadership.
  • Documented and refined standard operating procedures and knowledge base materials, increasing team compliance accuracy by 20% and supporting successful audit readiness.

Data Analysis Intern

Pantech Solutions
06.2019 - 05.2020
  • Developed and deployed real-time data analysis pipelines for object detection and pattern recognition, showcasing strong risk assessment and analytical skills.
  • Collaborated with cross-functional teams to document analytical results and deliver solutions under tight deadlines, reinforcing effective communication and comprehensive reporting practices.

Education

Master of Science - Management

St. Francis College
Brooklyn, NY
08.2023 - 05.2025

Bachelor of Technology - Computer Science Engineering

JB Institute of Engineering And Technology
08.2016 - 12.2020

Skills

Risk Assessment

Awards

Awarded 'Top Performer – Risk Operations' at Amazon for consistently exceeding investigation quality and productivity KPIs., Recognized by leadership for driving a 15% reduction in fraud-related losses through proactive transaction monitoring., Selected as a Peer Mentor to onboard and coach new investigators, streamlining their learning curve and boosting overall team quality.

Work Preference

Work Type

Full TimeInternshipContract Work

Work Location

On-SiteRemoteHybrid

Important To Me

Career advancementCompany CultureTeam Building / Company RetreatsWork-life balancePersonal development programs

Accomplishments

  • Investigated and resolved 100+ high-risk fraud cases weekly at Amazon, contributing to a significant reduction in false positives and protecting customer trust.
  • Achieved 98% SLA adherence in case resolution by streamlining fraud detection workflows and reducing investigation time without compromising accuracy.
  • Collaborated with global compliance and risk teams to ensure policy alignment across departments and improve fraud detection consistency across regions.
  • Enhanced fraud pattern recognition by identifying emerging threats and proactively escalating suspicious behavior, reducing financial risk exposure.
  • Maintained consistent top-quartile performance ratings, recognized for exceeding accuracy and productivity benchmarks in a fast-paced, metrics-driven environment.
  • Contributed to loss prevention strategies by providing key inputs on transaction behavior anomalies, helping reduce fraud-related losses by thousands of dollars monthly.
  • Supported training of new investigators by sharing best practices and investigation techniques, improving overall team quality and efficiency.
  • Applied business analysis skills from Master’s coursework to assess fraud case trends and recommend data-driven investigation enhancements.
  • Balanced full-time work with Master’s degree, demonstrating time management, work ethic, and commitment to professional development.

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

Success is not final; failure is not fatal: It is the courage to continue that counts.
Winston S. Churchill

Software

Microsoft Office Suite

SQL (Basic — data retrieval & fraud pattern queries)

Python (Intermediate — data analysis, automation, basic ML models)

Amazon Internal Risk Tools (used during Transaction Risk Investigator role)

Case documentation systems

Languages

English
Full Professional
Hindi
Native or Bilingual

Interests

Fraud Detection & Risk Mitigation – I enjoy analyzing suspicious patterns and solving problems to protect both customers and businesses

Regulatory Compliance – I’m passionate about ensuring systems align with evolving legal and ethical standards

Data-Driven Decision Making – I'm interested in using data tools (like Excel, SQL, Python) to support fraud investigation and process improvement

Technology in Finance – I’m curious about how tools like machine learning and automation are transforming fraud prevention

Team Collaboration – I value environments where people share ideas, solve problems together, and grow as a team

Learning & Self-Improvement – Whether it's improving technical skills or studying fraud trends, I enjoy continuous learning

Affiliations

  • Member, Association of Certified Fraud Examiners (ACFE) Engaged in ongoing professional development by accessing anti-fraud resources, publications, and industry insights through ACFE membership.

Timeline

Master of Science - Management

St. Francis College
08.2023 - 05.2025

Transaction Risk Investigator

AMAZON
01.2021 - 12.2022

Data Analysis Intern

Pantech Solutions
06.2019 - 05.2020

Bachelor of Technology - Computer Science Engineering

JB Institute of Engineering And Technology
08.2016 - 12.2020
RAKESH PENJARLAFraud & Risk Analyst | Ex-Amazon | Master’s In Management | Skilled In Fraud Detection, Risk Mitigation & Data-Driven Decision Making
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