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kavearaasane/README.md

Hi there, I'm Kavearaasane Coumaran! 👋

I'm a passionate B.Tech Computer Science student at Sri Manakula Vinyagar Engineering College, with a keen interest in leveraging technology for innovative solutions.

🚀 Skills

  • Programming: Python
  • Data Science: Machine Learning, Deep Learning
  • Databases: SQL
  • Tools: Power BI, Excel, Mlflow, Docker
  • Version Control: Git, GitHub
  • Frameworks: TensorFlow
  • MLOps: CI/CD Pipelines
  • Cloud: AWS

🛠️ Projects

Food Delivery Dataset - Exploratory Data Analysis

  • Analyzed a large food delivery dataset, resulting in a 15% reduction in delivery time.
  • Processed data for accuracy, leading to a 10% increase in customer satisfaction.
  • Applied statistical and ML techniques, identifying correlations for a 20% increase in satisfaction.

Customer Next EMI Payment Prediction

  • Developed a predictive analytics model, reducing payment defaults by 30%.
  • Utilized ML algorithms for on-time payments, resulting in a 15% increase.
  • Created personalized financial plans, increasing investment returns by 20%.

Customer Segmentation

  • Analyzed customer and car preference data, leading to a 15% increase in sales.
  • Conducted segmentation analysis based on demographic factors, increasing engagement by 20%.

Power BI Dashboard

  • Designed and developed a Power BI dashboard for in-depth OTT platform data analysis.
  • Collaborated with cross-functional teams, resulting in a 30% increase in customer satisfaction.

📜 Certification

  • Verzeo Internship in Machine Learning: Certificate Link
    • Completed an intensive internship in machine learning, gaining hands-on experience in AI/ML, data analysis, visualization, and predictive modeling.

📫 Let's Connect!

Looking forward to connecting and collaborating on exciting projects! 😊

Popular repositories

  1. kavearaasane kavearaasane Public

    Config files for my GitHub profile.

  2. -EDA-ANALYSIS-ON-FOOD-DELIVERY--DATASET -EDA-ANALYSIS-ON-FOOD-DELIVERY--DATASET Public

    Source code for EDA on food delivery dataset

    Jupyter Notebook

  3. Prediction-on-customer-defaulter-on-his-her-Upcoming-EMI-payment.- Prediction-on-customer-defaulter-on-his-her-Upcoming-EMI-payment.- Public

    It is an ML model which can predict whether the coustomer can pay their EMI of the next month based on their income, credit score, expenditure, savings, amount paid.

    Jupyter Notebook

  4. Customer-Segmentation Customer-Segmentation Public

    Customer segmentation is the process of dividing a company's customers into different groups based on similar characteristics such as demographics, psychographics, behavior, or needs.

    Jupyter Notebook

  5. Linear_Regression_Model Linear_Regression_Model Public

  6. Machine_Learning_Models Machine_Learning_Models Public

    Jupyter Notebook