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.
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May 23, 2021 - Jupyter Notebook
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.
Step-by-step exploratory movement data analysis protocol in a Jupyter notebook
This project involves analyzing Sprocket Central Pty Ltd Data to help the marketing department unveil useful insights that could help them optimize resources allocation for targeted marketing
Sprocket Central is medium size bike company which requires analytical insights regarding marketing strategy and which customers to target from both current and future customers. A final visualisation input needed to be given to get a sign-off to work further.
To provide Sales trend visibility on monthly, Quarterly and yearly basis.
Data Quality Assessment for Industrial Data
This Repository Contains the files for KPMG Data Analytics Consulting Virtual Internship.
🔍Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it 💡📊🛠💎
Health Data Metrics (HDM) a Data Quality assessment Application.
This repository contains my solution to the first task assigned to me during my virtual internship with KPMG through Forage.
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)
The purpose of this project is to conduct a Customer Segmentation Analysis for an Automobile bike Company. Customer segmentation is performed by developing a RFM Model.
This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
This project involves analyzing customer data for Sprocket Central Pty Ltd. The goal is to optimize the company's marketing strategy. We will assess data quality, target high-value customers, and develop a data-driven marketing plan. By leveraging customer data, we aim to provide valuable insights and recommendations to drive business growth.
Data Quality Assessment , Data Insights and Presentation
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python .
Generate valuable insights from customer and transactions data.
A function that automatically generates a Data Quality Report for your data
Tunable Query Optimizer for Web APIs and User Preferences
KPMG-Virtual-Internship: This repo contains all the solutions and resources for the data analytics virtual internship provided by KPMG via Forage
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