Navina.M - Portfolio

About me

I'm an Investigation Associate at Amazon with expertise in fraud investigations, risk assessment, and anomaly detection. Based in the Product Quality (PQ) team, I rapidly progressed from low/medium-complexity cases to high-complexity investigations—advancing through Photon → High Complexity Photon → Guided Workflow (GWF) in just 6 months, earning recognition as a top performer.

Beyond investigations, I'm passionate about data analytics, proficient in SQL, Python, Power BI, and Tableau. I've built end-to-end analytics pipelines, executive dashboards, and statistical models on real-world datasets (Yelp reviews, AWS serverless ETL). My analytical skills complement my investigative rigor to uncover patterns and drive insights.

MY STRENGTH: Combining investigative expertise with analytical rigor to detect anomalies and uncover hidden patterns—whether identifying fraud in complex cases or discovering insights in data. I excel at turning complex information into clear, actionable intelligence.

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. "

Progression Stages

Low/Medium Photon → High Complexity Photon → GWF → Top Performer → PQ-Custom

Core Skills

SQL, Python, Power BI, Tableau, Excel & more

Data Projects

End-to-end analytics & ETL pipelines

10+

Certifications

Google, IBM, AWS, CISCO & industry certifications

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, Tableau, Excel

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, Tableau, and Excel through internships, simulations, and real-world practice to build strong, job-ready analytical skills.

Top Academic Performer

Highest Performer

Consistently ranked as the highest performer throughout 10th, 11th, and 12th grades.

Tamil Language Excellence

Highest Scores

Awarded for achieving highest scores in Tamil language studies and exceptional proficiency.

B.A. Equivalent (Hindi)

2008 - 2012

Successfully completed B.A. Equivalent Degree in Hindi language studies from 2008 to 2012.

Typewriting Excellence

First Class Distinction

Obtained First Class with Distinction in Typewriting, demonstrating outstanding proficiency and speed.

My works

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 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

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

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

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

Hello 👋

I'm Navina

About me

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

Skills

SQL

Power BI

Python

Excel

Tableau

Math & Statistics

Machine Learning

AWS Analytical Services

Tools

Languages

Key Skills

Data & Analytics

Investigations & Risk

Education

B.E - Electronics & Communication Engineering

Higher Secondary School (HSC - 12th grade)

Secondary School (SSLC - 10th grade)

Experience

Investigation Associate

Data Science Intern

Data Analyst Intern