Chiranjit-B

Advanced-Data-Science-Assignment-1

Alteryx

Exploring And Working On Alteryx Tool

Azure-Data-Pipeline-for-Customer-Insights

Developed a comprehensive data pipeline using Azure Data Factory, Databricks, and Synapse to extract, transform, and load customer and sales data from an on-premises SQL database into Azure. Implemented a Bronze-Silver-Gold architecture, optimizing data processing and ensuring daily updates for real-time insights and analysis.

Cosmetics-Chemical-Composition-Analysis-and-Visualization

Choosing cosmetics can be tough and risky. Instead of guessing, let's use data science to predict suitable products. This notebook creates a content-based recommendation system by processing ingredient lists of 1,472 Sephora cosmetics with word embedding, and visualizes similarities using t-SNE and Bokeh.

Customer-Retention-Insights-AWS-S3-Glue-Athena-Redshift-Power-BI

predicting customer retention using AWS cloud infrastructure and automating it using airflow

House-Price-Prediction

Using Best Supervised Machine Learning Algorithms to predict House Price

Melatonin-Product-Sentiment-Analysis

Motor-Vehicle-Collision-Analysis-Data-Warehousing-ETL-Automation

how advanced data engineering can transform public safety measures and enhance urban planning

Real-Estate-Data-ETL-Automation--AWS-Snowlflake-Airflow-PowerBI

This project develops an automated ETL pipeline for real estate data, using Apache Airflow for task scheduling, AWS S3 for data storage, and Snowflake for warehousing. It enables efficient data ingestion and transformation, delivering timely insights into property trends and streamlining analytics with scalable, real-time data processing.

Weather-API-End-To-End-Data-Pipeline-Automation

This repository showcases an automated ETL pipeline using Python and Apache Airflow on AWS EC2. It orchestrates data extraction, transformation, and loading into AWS S3, offering a scalable solution for automating data workflows in a cloud environment.

Chiranjit-B/Cosmetics-Chemical-Composition-Analysis-and-Visualization

Choosing cosmetics can be tough and risky. Instead of guessing, let's use data science to predict suitable products. This notebook creates a content-based recommendation system by processing ingredient lists of 1,472 Sephora cosmetics with word embedding, and visualizes similarities using t-SNE and Bokeh.

Chiranjit-B/Azure-Data-Pipeline-for-Customer-Insights

Developed a comprehensive data pipeline using Azure Data Factory, Databricks, and Synapse to extract, transform, and load customer and sales data from an on-premises SQL database into Azure. Implemented a Bronze-Silver-Gold architecture, optimizing data processing and ensuring daily updates for real-time insights and analysis.

Chiranjit-B/Customer-Retention-Insights-AWS-S3-Glue-Athena-Redshift-Power-BI

predicting customer retention using AWS cloud infrastructure and automating it using airflow

Chiranjit-B/House-Price-Prediction

Using Best Supervised Machine Learning Algorithms to predict House Price

Chiranjit-B/Melatonin-Product-Sentiment-Analysis

Chiranjit-B/Real-Estate-Data-ETL-Automation--AWS-Snowlflake-Airflow-PowerBI

This project develops an automated ETL pipeline for real estate data, using Apache Airflow for task scheduling, AWS S3 for data storage, and Snowflake for warehousing. It enables efficient data ingestion and transformation, delivering timely insights into property trends and streamlining analytics with scalable, real-time data processing.

Chiranjit-B/Weather-API-End-To-End-Data-Pipeline-Automation

This repository showcases an automated ETL pipeline using Python and Apache Airflow on AWS EC2. It orchestrates data extraction, transformation, and loading into AWS S3, offering a scalable solution for automating data workflows in a cloud environment.

Chiranjit-B/Advanced-Data-Science-Assignment-1

Chiranjit-B/Alteryx

Exploring And Working On Alteryx Tool

Chiranjit-B/Motor-Vehicle-Collision-Analysis-Data-Warehousing-ETL-Automation

how advanced data engineering can transform public safety measures and enhance urban planning

Chiranjit-B/api-test

Chiranjit-B/api-trial

Chiranjit-B/Arizona-Legal-Case-RAG-System

This project implements a powerful semantic search engine and retrieval-augmented generation (RAG) pipeline designed to process large volumes of legal case data, primarily focused on laws related to the state of Arizona, USA

Chiranjit-B/Banking-Churn-Rate-Prediction-And-Analysis

This repository features a project focused on analyzing customer churn within the banking sector. It contains code and resources for data wrangling, data analysis, model selection, and evaluation.

Chiranjit-B/Call-Center-Data-Analysis

Chiranjit-B/causality-assignment

Chiranjit-B/Credit-Risk-Analysis

Using Machine Learning To Implement A Credit Risk Model Helping Bank improve operational efficiency

Chiranjit-B/Data-Science

Chiranjit-B/END-TO-END-DATA-ETL-PROJECT

This project showcases a complete ETL (Extract, Transform, Load) pipeline, focusing on extracting data from diverse sources, cleaning, transforming, and loading it into a structured database. It emphasizes efficient data processing to prepare the data for analytics and reporting, ensuring seamless integration of raw data into actionable insights

Chiranjit-B/House-Price-Prdeiction---Model-Deployment

Chiranjit-B/Restaurant-Management-System