Veera's repositories
Data-Science-Projects-migrated-
Consolidated all my Data Science projects and moved from Gitlab/Gdrive to Github
Web-Devlopment
Pet Project - Web Devlopment using TailwindCSS
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
vancouver-supply-allocation
This paper aims to outline a supply plan that outfits 25 support hubs in the City of Vancouver with essential food and water supplies in the event of a natural disaster. We propose a model that takes as input the population, population distribution, percentage of population that requires assistance, number of days to supply, number of cans and bottles per day, Costco weekly capacity constraints, cost of gas per kilometre for the chosen vehicle, and carrying capacity of chosen vehicle. The model then proposes a supply plan that outfits the hubs with the necessary amount of supplies at the least cost in the least amount of time.
Shelf_analytics_Retail
Technical round submission to Infilect
Retail-Store-Item-Detection-using-YOLOv5
In this repository, I present a retail store item detector using YOLOv5
Data-Science-Tutorials
Data Science Tutorials
Grocery-Retail-Sales-Analysis
3rd Datathon, University of Washington
supply-chain-optimization-aavin
Optimizing the production plan of Madurai Aavin Milk Dairy's signature milk product using mathematical models created in Excel. Arriving at the solution required an extensive external research as well as predicting the market demand based on historical data.
mapleleaf-corporation-capacity-planning-strategy
Designing an optimal capacity planning strategy for Mapleleaf Corporation. The goal was to calculate the optimum production schedule for the next ten-year demand and determine whether to open a new plant or not. Finally, a report was created to provide management with findings and recommendations.
PGAIML---GL
Practice, Exercises and Learning from PGAIML
Online_Retail_Customer-Segementation
Introduction In ecommerce companies like online retails, customer segmentation is necessary in order to understand customers behaviors. It leverages aqcuired customer data like the one we have in our case, transactions data in order to divide customers into groups. Our goal in this Notebook is to cluster our customers to get insights in: Increasing revenue (Knowing customers who present most of our revenue) Increasing customer retention Discovering Trends and patterns Defining customers at risk We will do RFM Analysis as a first step and then combine RFM with predictive algorithms (k-means). RFM Analysis answers these questions: Who are our best customers? Who has the potential to be converted in more profitable customers? Which customers we must retain? Which group of customers is most likely to respond to our current campaign? More about RFM here.
SupplyChainPlanning
Fast food restaurant demand and supply planning solution concepts
Backorder-Prediction
Product Sales Backorder Prediction
Online-Retail-Transactions-of-UK
Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP and Machine Learning
RetailReplenishement
CRP Code
documentation
Official documentation for the Raspberry Pi
supply-apparel
Supply apparel will offer virtual stores for shops / brands that want to showcase and sell their products online. The site will take a commission or upfront cost or both from stores depending on their membership plan.