AbhishekGit-hash/devops-stack

Contains codes for CI/CD tools : Jenkins, Terraform, Ansible

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AbhishekGit-hash/toolbox-python

Language: Python - Size: 5.69 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

AbhishekGit-hash/Real-Time-Delta-Lake-with-Pyspark

Batch & streaming data pipelines built using Databricks with Pyspark and modeled the data into star schema to analyze in PowerBI, Formula-1 racing data from multiple data sources, APIs.

Language: Python - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AbhishekGit-hash/abhishekchowdhury.github.io

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AbhishekGit-hash/Data-Analytics-Customer-Segmentation

In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.

Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 26 - Forks: 11

AbhishekGit-hash/Credit-Card-Lead-Prediction

A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

AbhishekGit-hash/Smart-Agent-Recruitment

A machine learning project to predict whether an agent will be able to source business after corporate training. A Power BI dashboard is developed to capture past trends.

Language: Jupyter Notebook - Size: 7.87 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

AbhishekGit-hash/AbhishekGit-hash

Config files for my GitHub profile.

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AbhishekGit-hash/Customer-Churn-Prediction-Model-with-XGBoost

The goal of this project is to develop a predictive model that will predict the customers likely to churn and propose a strategic perspective to decrease the churn rate.

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AbhishekGit-hash/Retail-Strategy-and-Analytics

Establishment of control stores based on their performance compared to selected trial stores to increase the retail chain of stores and enhance sales revenue.

Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0