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Soumyadeep Mukhopadhyay's Projects

adf-spark-notebook-pipeline icon adf-spark-notebook-pipeline

A simple pipeline to transform data within Azure Data Factory using Azure Databricks. Although it is written in Scala the same can be replicated in Python.

airflow-tutorial icon airflow-tutorial

Tutorial like code for how to deploy airflow using docker and how to use the DockerOperator.

assignment-1 icon assignment-1

This contains an attempt towards analyzing the Black Friday data set from Kaggle.

assignment-2 icon assignment-2

This repository contains files which were used to transform a set of .txt files such that the date column can be shifted to the front of the given files.

bellings-and-ready-wear icon bellings-and-ready-wear

This repository contains a .pbix (power bi desktop) and excel file. The excel file contains sales reports of Bellings and Ready Ware, two retails chains running throughout Australia while the power bi file contains some analysis about the same.

data-analysis icon data-analysis

The aim of this project was to analyse given data set and find out if there exists any trends. The data is produced by a tool similar to Google analytics and the dataset is about a website which is an online repository for books.

data-ingestion icon data-ingestion

The aim of this project is automate data ingestion from flat files like CSV and compressed files GZIP into a database like Postgres. The entire setup is automated using Docker and is pretty fast too as multiprocessing is being used.

ecommerce_scraper_project icon ecommerce_scraper_project

Have you ever needed to go through multiple e-commerce websites simultaneously to check the price of the same product? Prices can differ but having a list side by side would be a bonus, wouldn't it? This Flask App can do exactly that.

fastai icon fastai

The fastai deep learning library, plus lessons and tutorials

hashtagcashtag icon hashtagcashtag

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

linkedin_scraper icon linkedin_scraper

Scraping data from LinkedIn. The aim was to scrape data off of LinkedIn. The scraping project was solely performed as an experiment and has no other intentions.

spark-assignment icon spark-assignment

The aim of this project is to perform analysis on some (car crash) data using PySpark and make the entire process deployable using Docker.

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