Skills

SQL

SQL

Power BI

Power BI

Python

Python

Excel

Excel

Tableau

Tableau

Math & Statistics

Math & Statistics

Machine Learning

Machine Learning

HTML/CSS/JS

HTML/CSS

Tools


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



Languages

Tamil
English
Hindi

Key Skills

  • Data Analysis
  • Data Cleaning & Transformation
  • SQL & Database Management
  • Data Visualization & Reporting
  • Data Storytelling & Communication
  • Predictive Modelling





Education

2017-2021

B.E - Electronics & Communication Engineering

College of Engineering Guindy (CEG),
Anna University, Chennai.


CGPA: First Class

2015-2017

Higher Secondary School (HSC- 12th grade)

Sri Vidya Mandir Matric Higher Secondary School, Salem.


Score: 97.42%

2014-2015

Secondary School (SSLC - 10th grade)

Sri Vidya Mandir Matric Higher Secondary School, Salem.


Score: 98.8%

Experience

Mar 2024 - Present

Investigation Associate

Amazon - Hyderabad (Remote)

  • Currently part of the Product Quality (Custom) team, investigating copyright, trademark, and infringement cases to uphold compliance and protect customer trust.
  • Previously advanced through Photon (Low/Medium & High Complexity) and Guided Work Flow (GWF) teams, consistently achieving high performance and accuracy in case handling.
Aug 2023 - Mar 2024

Data Science Intern

Combined Internship Experience

  • Developed machine learning models and contributed to predictive modeling projects, applying statistical and analytical techniques to solve real-world problems.
Oct 2023 - Dec 2023

Data Analyst Intern

Combined Internship Experience

  • Conducted in-depth data analysis and visualization, enabling insights to support decision-making and optimize business processes.


Accomplishments

Work

  • SUPER STAR TRAINEE: Awarded for outstanding performance during training and recognized as the Most Promising Trainee by the trainer.
  • Fast-Track Progression: Advanced through Photon (Low/Medium & High Complexity) and GWF within six months, before being internally transferred to the Product Quality team for consistent top performance.
  • Decision-Making Excellence: Commended for applying decision-making, problem-solving, and risk management skills to deliver faster, more accurate case resolutions.

Academic & Personal

  • Top Academic Performer: Consistently ranked as the highest performer throughout 10th, 11th, and 12th grades.
  • Exceptional Proficiency in Tamil: Awarded for achieving the highest scores in Tamil language studies.
  • Typewriting Excellence: Obtained First Class with Distinction in Typewriting, demonstrating outstanding proficiency.
  • B.A. Equivalent Degree (Hindi): Successfully completed from 2008 to 2012.

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

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

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


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