About me


I'm Navina, a data enthusiast with a knack of transforming raw data into meaningful, actionable insights.

At Amazon, I mastered the art of analyzing and resolved over 25,000 Photon OTC UoWs across low, medium, and high complexity levels, honing my expertise in Unit of Works (UoW). I’ve since advanced to managing over 1,500+ complex end-to-end cases monthly in the Guided Work Flow (GWF) system, ensuring seamless case handling and delivering impactful outcomes.

Leveraging tools like Power BI, SQL, and Python, I create visually compelling dashboards, extract insights from complex datasets, and design efficient workflows that drive smarter business decisions. Whether it's identifying trends or optimizing processes, I'm all about using data to make an impact.

If you're passionate about making decisions through data, Let's Connect!


Skills

SQL

SQL

Tableau

Tableau

Power BI

Power BI

Excel

Excel

Python

Python

Math & Statistics

Math & Statistics

Machine Learning

Machine Learning

HTML/CSS/JS

HTML/CSS

Tools


  • Microsoft SQL MySQL
  • Jupyter Notebook Jupyter Notebook
  • Google Colaboratory Google Colab
  • Pycharm Pycharm
  • Visual Studio Code VS Code



Languages

Tamil
English
Hindi

Key Skills

  • Data Analysis
  • Data Manipulation & Cleaning
  • Data Visualization & Reporting
  • Predictive Modelling
  • Communication
  • Data Storytelling





Education

2017-2021

B.E - Electronics & Communication Engineering

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


CGPA: 7.47/10 (First Class)

2015-2017

Higher Secondary School (HSC) - 12th grade

Sri Vidya Mandir Matric Higher Secondary School,
Salem Steel Plant, Salem.


97.42%

2014-2015

SSLC - 10th grade

Sri Vidya Mandir Matric Higher Secondary School,
Salem Steel Plant, Salem.


98.8%

Experience

Mar 2024 - Present

Investigation Associate

Amazon - Chennai, TN

  • Resolving claims, optimizing workflows, and improving operational efficiency within the Claims Investigation Team.
Aug 2023 - Mar 2024

Data Science Intern

Combined Internship Experience

  • Developed machine learning models and data-driven solutions, contributing to key projects in predictive modeling.
Oct 2023 - Dec 2023

Data Analyst Intern

Combined Internship Experience

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


Accomplishments

Work

  • SUPER STAR TRAINEE: Awarded for exceptional performance during training, also recognized as the Most Promising Trainee by the trainer.
  • Advanced to Guided Work Flow (GWF) within six months of joining, following successful advancements through High Complexity and Low/Medium Complexity Photon OTC roles.
  • Expertise in Decision-Making: Recognized for leveraging decision-making, problem-solving, and risk management skills to achieve faster 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

BANK LOAN ANALYSIS

This project delves into detailed analysis of bank loan data, examining key metrics such as loan applications, funded amounts, interest rates, and debt-to-income ratios. Leveraging SQL for robust data extraction and Power BI for insightful visualization, it aims to offer comprehensive insights into loan dynamics and quality assessment.

LAPTOP PRICE PREDICTOR

The Laptop Price Predictor project is designed to forecast laptop prices, saving users both time and money. By using this tool, you can avoid the hassle of visiting multiple stores to compare prices, making the process of purchasing a new laptop more efficient and convenient.

GOOGLE PLAYSTORE APPS ANALYSIS

This project analyzes the Google Play Store's vast ecosystem, providing insights into app categories, user reviews, ratings, and more. By collecting and cleaning data, it aims to offer valuable information for developers, businesses, researchers, and users about the mobile app marketplace.

CREDIT CARD FRAUD DETECTION

This project utilizes a Decision Tree Classifier to detect credit card fraud due to its interpretability and effectiveness in capturing non-linear relationships. It focuses on enhancing transaction security by accurately identifying fraudulent activities.

MOVIE RECOMMENDER SYSTEM

In this project, a Movie Recommender System is developed using cosine similarity and content-based techniques. It aims to enhance user experience on streaming platforms by offering personalized movie recommendations tailored to individual viewing preferences.

EMAIL SPAM CLASSIFIER

This project uses Multinomial Naive Bayes to classify emails as spam or not spam, helping to keep your inbox free from unwanted messages. It aims to enhance email security by identifying and filtering out spam efficiently.

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...

Google-Data-Analytics CISCO Data-Analytics-essentials IBM applied-data-science-with-python-level-2 PSYLIQ DATA_ANALYST_BADGE CISCO SQL Basics IBM data-analysis-using-python SLASHMARK Practitioner_Badge Verified Analytics Bootcamp Certification IBM data-visualization-using-python CISCO Introduction-to-Data-Science.png
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