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gaurichaudhari9/README.md

Hi 👋 My name is Gauri

Hey, Thanks for taking a peek! 🥳

Recent Master in Data Science Graduate (2024), Indiana University Bloomington.

I take pride in transforming raw, unrefined data into valuable insights that drive strategic decision-making and measurable impact.

I thrive on a hands-on approach to data analysis, leveraging a broad toolkit — from machine learning algorithms to statistical modeling — to uncover patterns, trends, and insights others might overlook. My curiosity drives me beyond familiar ground; I am deeply committed to continuous learning and staying ahead in the fast-paced, ever-evolving field of data science.

  • 🌍  I'm based in India.
  • ✉️  You can contact me at [email protected]
  • 🛜 I'm open to networking and collaborating on interesting projects

My Projects

I am committed to continuous learning and development and you'll often find me delving into new knowledge and enhancing my skills! I love learning about different domains and working out how can I improve their use-cases. Click on any one of the badges to learn more about my projects :)

Data Visualization / Dashboarding

Tableau Portfolio

Statistics Projects

Statistics Portfolio

E-Commerce projects

Project Name Tool
E-Commerce Post-Pandemic Sales Analysis
  • SQL
  • Python
  • EDA
  • MS Excel
  • Statistics
    		•
    Boosting the sales margin of an e-commerce product using data-driven Price Optimization
  • Data Preprocessing
  • Feature Selection
  • Dimensionality Reduction
  • Exploratory Data Analysis
  • Linear Regression
  • Ridge,Lasso Regression
  • Demand Curve
    		•

    Data Engineering projects

    Project Name Tool
    Automated Reddit Data Pipeline and Analytics using Airflow and AWS integrations ETL, Apache Airflow, Celery, PostgreSQL, AWS S3, AWS Glue, AWS Athena, AWS Redshift

    Machine Learning/Deep Learning projects

    Project Name Skills
    Quantitative Risk Analysis and Prediction of FAANG Stock Performance
  • Monte Carlo Simulation
  • Time Series Analysis
  • Statistics
  • Prediction Model
    		•
    Optimizing fraud detection in credit card transactions
  • Data Transformation
  • Random Forest
  • Decision Trees
  • Deep Neural Network
  • Undersampling
  • Synthetic Minority Oversampling Technique
    		•
    Text Classification with BERT Fine-Tuning
  • Data Scrapping
  • Pretrained BERT
    		•
    Investigating Transfer Learning and Scratch Training for Image Recognition
  • Data Augmentation
  • Resnet50 Selection
  • CNN
    		•

    Pinned Loading

    1. gaurichaudhari9.github.io gaurichaudhari9.github.io Public

      A professional website by Gauri Chaudhari

      HTML

    2. image-classification-cnn image-classification-cnn Public

      Comparing Transfer Learning to Training from Scratch for Image Classification

      Jupyter Notebook

    3. Boosting-Sales-Margin-of-a-product-using-Price-Optimization Boosting-Sales-Margin-of-a-product-using-Price-Optimization Public

      Boosting sales margin of a product using price optimization

      Jupyter Notebook

    4. credit-card-fraud-detection-using-ml credit-card-fraud-detection-using-ml Public

      Detecting Fraudulent Credit Card transactions using different Machine Learning models and comparing performances

      Jupyter Notebook

    5. quantitative-analysis-tech-stock-prediction quantitative-analysis-tech-stock-prediction Public

      Quantitative Analysis and Prediction of FAANG Stock Performance

      Jupyter Notebook

    6. text-classification-bert-fine-tuning text-classification-bert-fine-tuning Public

      Text classification project demonstrating BERT fine-tuning on a dataset of TV show quotes.

      Jupyter Notebook