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Projects in Awesome Lists by MarkPhamm

A curated list of projects in awesome lists by MarkPhamm .

https://github.com/markphamm/british-airway

An end-to-end analytics project analyzing customer experiences with British Airways. Includes ETL pipelines, data cleaning, exploratory analysis, and predictive modeling. Features a Streamlit dashboard for visualizing insights and recommendations, integrated with a RAG-powered chatbot using ChromaDB and PyGwalker for custom visualization

aws etl streamlit

Last synced: 25 Nov 2024

https://github.com/markphamm/dsa

Data Structure and Algorithm

Last synced: 25 Nov 2024

https://github.com/markphamm/leetcode

Daily LeetCode solutions in Python, SQL, and more – featuring efficient algorithms, clean code, and a variety of problem-solving techniques.

leetcode-solutions python sql

Last synced: 25 Nov 2024

https://github.com/markphamm/stats-calculator

A user-friendly app for performing various statistical analyses. Easily calculate and visualize key statistics including mean, median, standard deviation, and more. Ideal for quick and accurate data analysis.

gradient-descent statistics streamlit

Last synced: 25 Nov 2024

https://github.com/markphamm/pumpkin

Last synced: 25 Nov 2024

https://github.com/markphamm/adventureworks-analytics

This project analyzes AdventureWorks Cycles' data to enhance revenue. It includes data cleaning, descriptive and diagnostic analysis, and predictive modeling using SQL Server, Python, and PowerBI. Interactive dashboards and real-time updates support strategic decision-making and trend discovery.

sql

Last synced: 25 Nov 2024

https://github.com/markphamm/alcon-financial-assistant

Alcon Financial Analysis: An interactive dashboard showcasing dynamic financial metrics, KPIs, and competitor comparisons. Powered by a RAG-based chatbot for real-time insights from financial reports and industry data, enabling data-driven decisions and strategic market positioning for Alcon.

financial pygwalker rag streamlit

Last synced: 25 Nov 2024

https://github.com/markphamm/python-segment-shopping-customers

This project segments mall customers using K-Means clustering to identify key shopping groups based on income, age, and shopping score. It includes data preprocessing, cluster analysis, and visualization with Python libraries such as Pandas, Seaborn, and Scikit-learn.

customer-segmentation kmeans-clustering machine-learning

Last synced: 25 Nov 2024

https://github.com/markphamm/learn-git

Last synced: 25 Nov 2024

https://github.com/markphamm/markphamm

Last synced: 25 Nov 2024

https://github.com/markphamm/alcon-chatbot

Alcon Financial Analysis: Interactive dashboard with RAG-powered chatbot for Alcon's competitive financial insights.

financial pygwalker rag streamlit

Last synced: 19 Oct 2024