About me

Fraud & Risk Investigations Trust & Safety Product Quality & Brand Protection Data Analytics

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Fraud & Risk Investigations
(Trust & Safety)

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Product Quality Investigations
(Content Integrity, IP Compliance, Brand Protection)

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Investigation Decision Accuracy

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Decision Quality (DQ) – Product Quality Investigations

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Financial Transactions Analyzed – Fraud Analytics

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Yelp Reviews Analyzed – Data Analytics Project

I'm an Investigation Associate at Amazon specializing in fraud investigations, risk assessment, anomaly detection, and Product Quality (PQ) investigations. I’ve handled high-risk cases across fraud, compliance, brand protection, IP compliance, and product content integrity, identifying abuse patterns and policy violations through evidence-based investigations and structured risk analysis.

I progressed from low and medium-complexity reviews to high-complexity, end-to-end investigations, consistently delivering strong performance in accuracy and productivity. My investigative quality and analytical approach earned recognition as a top performer and led to an internal transfer to the Product Quality (Custom) team.

Alongside investigations, I leverage SQL, Power BI, Python, Excel, and Statistics to analyze large datasets, detect anomalies, uncover fraud patterns, and perform root cause analysis. I build dashboards and analytical solutions that transform complex data into clear risk insights and data-driven decision support.

MY STRENGTH: Combining investigative domain expertise with data analytics to uncover hidden patterns and risk signals. Whether investigating complex fraud cases or analyzing large datasets, I specialize in converting complex information into actionable intelligence that strengthens trust, safety, and risk management.

4
Progression Stages
Low/Medium Photon → High Complexity Photon → GWF → Top Performer → PQ-Custom
5+
Core Skills
SQL, Power BI, Python, Excel, Statistics & more
5+
Data Projects
End-to-end analytics & ETL pipelines
10+
Certifications
Google, IBM, AWS, CISCO & industry certifications

Ready to explore? Check out my portfolio, projects, and certifications below!

" From uncovering patterns in investigations to insights in data, I thrive on finding clarity in complexity. "

Skills

SQL

SQL

Power BI

Power BI

Python

Python

Excel

Excel

Tableau

Tableau

Math & Statistics

Math & Statistics

Machine Learning

Machine Learning

AWS Analytical Services

AWS Analytical Services

Tools


  • Microsoft SQL Microsoft SQL Server
  • MySQL MySQL
  • Jupyter Notebook Jupyter Notebook
  • Pycharm Pycharm
  • Snowflake Snowflake
  • Visual Studio Code VS Code



Languages

Tamil
English
Hindi

Core Skills & Expertise

Data & Analytics

  • SQL & Database Analytics
  • Data Analysis & Statistical Insights
  • Data Cleaning, Transformation & ETL
  • Data Visualization (Power BI)
  • Dashboard Development & KPI Reporting
  • Fraud Pattern & Anomaly Analysis

Investigations & Risk

  • Fraud & Risk Investigations
  • Case Review & Evidence Analysis
  • Fraud Pattern Detection
  • Root Cause Analysis (RCA)
  • Risk Assessment & Decisioning
  • Product Quality Compliance
  • Operational Workflow Optimization





Education

2017-2021

B.E - Electronics & Communication Engineering

College of Engineering Guindy (CEG), Anna University

CGPA: First Class

2015-2017

Higher Secondary School
(HSC - 12th grade)

Sri Vidya Mandir Matric, Salem

Score: 97.42%

2014-2015

Secondary School (SSLC - 10th grade)

Sri Vidya Mandir Matric, Salem

Score: 98.8%

Experience

Mar 2024 - Mar 2026

Investigation Associate

Amazon, India

  • Conduct fraud, risk, and Product Quality investigations across claims abuse, brand protection, IP compliance, and content integrity domains.
  • Analyze case data, behavioral signals, and policy indicators to identify abuse patterns and policy violations.
  • Perform root cause analysis and risk assessment to support evidence-based decision making.
  • Collaborate with cross-functional teams to escalate systemic abuse and maintain marketplace integrity.
Aug 2023 - Mar 2024

Data Science Intern

Combined Internship Program

  • Built ML models with Python, statistical analysis & validation
  • Worked on predictive modeling projects with real-world datasets
Oct 2023 - Dec 2023

Data Analyst Intern

Combined Internship Program

  • Analyzed data with SQL, Python, Excel on large-scale datasets
  • Created interactive dashboards in Power BI & Tableau for insights


Accomplishments

Super Star Trainee

Outstanding Performance

Awarded for outstanding performance during training and recognized as the Most Promising Trainee by the trainer.

Fast-Track Progression

6 Months Career Growth

Advanced through Photon and GWF within six months, before being internally transferred to the Product Quality team.

Decision-Making Excellence

Problem Solving Skills

Commended for applying decision-making, problem-solving, and risk management skills to deliver faster, more accurate case resolutions.

Career Transition to Data Analytics

SQL, Power BI, Python, Excel, Statistics

Actively working toward a Data Analytics career by completing 10+ industry certifications, practical training programs, and hands-on projects. Gaining experience in SQL, Power BI, Python, Excel & Statistics through internships, simulations, and real-world practice to build strong, job-ready analytical skills.

My works

SCALABLE FRAUD RISK TRIAGE & ANALYTICS SYSTEM

End-to-end fraud analytics pipeline transforming 800K financial transactions into risk intelligence.

Designed and implemented an end-to-end fraud analytics system to simulate real-world payment risk monitoring. Analyzed 800K financial transactions using SQL-driven fraud rules, behavioral indicators, and velocity analysis to detect suspicious activities such as cross-border fraud and high-risk payment patterns. Built risk scoring models and Power BI dashboards to prioritize high-risk transactions and visualize fraud trends, while Generative AI insights summarize key risk drivers and recommended actions.

TOOLS: SQL, Python, Power BI, Risk Scoring Models, Generative AI (Gemini API)

🔗 View Live Dashboard

YELP BUSINESS REVIEWS ANALYSIS

End-to-end pipeline transforming 7M Yelp reviews into business insights.

Designed and implemented an end-to-end analytics pipeline on Yelp’s open dataset (~7M reviews) to uncover business insights across categories, cities, and states. The project combined Python ETL, Snowflake schema modeling, and sentiment analysis with interactive Power BI dashboards to track review trends, customer sentiment, and regional performance. This work simulates a real-world data engineering + BI workflow, demonstrating the ability to handle large-scale data from raw ingestion to executive-level insights.

TOOLS: Python, Amazon S3, Snowflake, SQL, Power BI, DAX

🔗 View Live Dashboard

AWS Serverless ETL project preview

AWS SERVERLESS ETL PIPELINE

Event-driven, serverless ETL pipeline automating JSON-to-Parquet transformation using AWS Analytical Services

Engineered a fully automated ETL workflow leveraging Amazon S3, AWS Lambda, AWS Glue, and Amazon Athena to transform and analyze JSON data at scale. The pipeline ingests raw JSON files into S3, triggers Lambda functions for schema flattening and Parquet conversion, catalogs datasets using Glue Crawler, and enables interactive SQL querying through Athena. AWS IAM manages access control, while Amazon CloudWatch handles monitoring and logging for operational visibility. This project demonstrates end-to-end automation, scalability, and cost efficiency using AWS native services.

TOOLS: Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, AWS IAM, AWS CloudWatch

INSURANCE DATA ANALYSIS

Power BI dashboard uncovering risks in premiums, claims, and demographics.

Developed an interactive Power BI dashboard analyzing 5 years of insurance records (2014–2018) for motor insurer EIC, highlighting the imbalance between premiums collected and claims paid. Uncovered key risk drivers such as young drivers, male policyholders, and high-risk vehicle categories, with a critical loss ratio of 44% indicating an unsustainable business model. Provided insights for insurance firms, regulators, and executives to improve underwriting performance and risk management.

TOOLS: Power BI (DAX, interactive visuals, drilldowns), Data Storytelling

🔗 View Live Dashboard

Superstores Sales Analysis project preview

SUPERSTORES SALES ANALYSIS

Interactive Tableau dashboard analyzing sales, profitability, and customer behavior.

Created an interactive Tableau dashboard to analyze sales and profitability (2020–2023) across states, customer segments, and product categories. Identified key drivers such as Phones and Chairs as top categories, New York as a sales hub, and Home Office as the fastest-growing segment. Delivered insights on top customers, manufacturers, and state-level concentration to support data-driven sales strategies.

TOOLS: Tableau (Calculated Fields, LOD Expressions, Parameters, Filters, Bins)

🔗 View Live Dashboard

Apple Store Sales Analysis project preview

APPLE STORE SALES ANALYSIS

Excel dashboard revealing product performance, regional sales, and growth trends.

Developed an executive-level Excel dashboard to analyze Apple Store sales performance (2018–2022) across regions, products, and time. Delivered insights on revenue growth, profitability, top-performing products, and regional trends - enabling business decisions directly within Excel without external BI tools.

TOOLS: Microsoft Excel (Pivot Tables, Power Query, Slicers & Timelines)

Movie Recommender System project preview

MOVIE RECOMMENDER SYSTEM

Personalized movie suggestions using content-based filtering & cosine similarity.

Built a content-based recommender using cosine similarity to deliver personalized movie suggestions. The system analyzes genres, cast, and keywords to identify similar movies, helping users discover content tailored to their preferences. This project demonstrates practical application of NLP and recommendation techniques for streaming platforms.

TOOLS: Python, Pandas, Scikit-learn, Streamlit

See more

Certifications & Badges


A showcase of my professional certifications and badges, highlighting my skills and dedication to continuous learning in data analytics, programming, and more...

/AWS Gen AI Google-Data-Analytics CISCO Data-Analytics-essentials CISCO Introduction-to-Data-Science.png IBM Data-analysis-using-python IBM Data-visualization-using-python IBM Applied-Data-science-with-python-level-2 CISCO Introduction-to-CyberSecurity
View All My Certifications & Badges

Testimonials

Ankit Hasija

“

Navina is immensely talented, hardworking, and a self-learner. She is responsible enough to understand the intensity and nature of work on herself. Wishing her every success in life.

Ankit Hasija

Psychologist | Data Science Trainer | Recruiter | Training Head at MedTourEasy

Contact me

navina.mk7@gmail.com

+91 9092278124

Download Resume