Quantium is a lightweight Python library for mathematical and scientific computations with units. It enables dimensional analysis and unit-safe calculations through a simple, dependency-minimal design. NumPy integration is planned for future releases.
Quantium Data Analytics virtual internship program
Data_Analytics_Virtual_Experience_Program
🎯 This repo contains the work completed during the Quantium Data Analytics Job Simulation on Forage. The focus was to analyze customer transaction data, provide insights, and recommend data-driven strategies. Key areas include data preparation, customer segmentation, uplift testing, and reporting for decision-making.✨
Analyzed real-world retail data from Quantium to uncover chip-buying behavior by customer segments. Used R, tidyverse, dplyr, and ggplot2 for data cleaning, visualization, and insight generation. Identified top segments, popular pack sizes, and premium brand opportunities.
This repository serves as the central hub for the Quantium Software Engineering Program. As a graduate of this program, I've gathered and curated a collection of resources, including program modules, assignments, projects, and supplementary materials, all designed to support your learning journey in the field of software engineering.
The project entails in-depth exploration of customer purchasing behavior, sales trends, and commercial insights within a supermarket chain, specifically targeting the chips category. Leveraging data analytics techniques, the repository showcases the identification of key metrics, data preparation, customer segmentation, and the evaluation.
Add a description, image, and links to the quantium topic page so that developers can more easily learn about it.
To associate your repository with the quantium topic, visit your repo's landing page and select "manage topics."