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Pitgama: פִּתְגָמָא • (piṯḡāmā) m (plural פִּתְגָמַיָּא): Data driven insights in Jewish text. Pitgama means in Aramaic a word or phrase, which is borrowed from the Persian patgam, which properly means "that which has come, that which has arrived". Pitgama is a brand new project and we are currently building out the frontend first. It will even…
Concept Explorer is an educational web app designed to make exploring concepts as exciting as exploring the physical world. It uses AI-powered data generated by the Concept Generator project to provide engaging and interactive concept exploration.
This repo contains code for five visualization charts for five datasets, implemented in D3.js The visualizations also have a description of the valuable insights derived form the data
Reductions of 15% were achieved by using dynamic pricing, 12% more bookings during peak months were made thanks to focused marketing, and booking sources were streamlined. improved income and strategy as a result of insights derived from data.
Concept Generator utilizes ChatGPT 3.5 to generate multifaceted data about concepts, which are fundamental building blocks in thinking. The project yields three types of data: Relational, Comparative, and Descriptive. It's designed for learners, educators, researchers, and anyone curious about the intricacies of human thought.
This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.
Analyzed hotel booking cancellations, implemented dynamic pricing for a 15% reduction, initiated targeted marketing for 12% rise in peak month bookings, and optimized booking sources. Enhanced revenue and strategy through data-driven insights.
Shein, a clothing brand, is using data analytics to design its strategy for 2024. The purpose of this analysis is to help the company enhance customer experience and grow market share focusing on increasing revenue and profitability by understanding consumer trends.
Efficiently process and automate complex reports using Python. This project streamlines data integration, cleaning, and report generation, reducing processing time by 97%.