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Sneha-mav/README.md

Hey , I'm Sneha

Engineer working across data science, data engineering, and machine learning. I build data pipelines, train models, and automate workflows using Python, SQL, and modern ML/big-data tools.

Always open to collaborations and learning opportunities.

Projects

Serverless Event-Driven Image ETL Pipeline on AWS : Event-driven ETL pipeline using S3 → Lambda → SNS

Intelligent Charging Station Management for Electric Vehicles Part-1 :
(ICS) allocation and utilization in urban environments.

Intelligent Charging Station Management for Electric Vehicles Part-2 :
Discharge Rates and range prediction for EVs

Movie Recommendation System CF(KNN) & CBF : Recommendation Engine using CF & CBF

Heart Disease Prediction : Prediction Model using multiple methods

Tech Stack

Languages:        
Framework & Libraries:    
Tools and Platforms:    

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  1. Churn-Prediction-AutoML Churn-Prediction-AutoML Public

    Customer Churn Prediction for IBM churn dataset using H2O AutoML

    Jupyter Notebook

  2. Movie-Recommendation-System-CF-CBF Movie-Recommendation-System-CF-CBF Public

    Movie Recommendation System Using Two approaches Collaborative Filtering ( CF ) & Content-Based Filtering ( CBF )

    Jupyter Notebook

  3. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

    Twitter Sentiment Analysis through multiple ML approaches

    Jupyter Notebook

  4. Heart-Disease-Prediction Heart-Disease-Prediction Public

    Heart Disease prediction model using Logreg ,DT & RF

    Jupyter Notebook

  5. Iris-Flower-Classification Iris-Flower-Classification Public

    Iris Flower Classification using all principle algorithms from logreg to Naive Bayes

    Jupyter Notebook

  6. Ash515/AutomaDesk Ash515/AutomaDesk Public

    Desktop Files Organizing Automation

    Python 19 22