Retail-Sales-Intelligence

🛍️ Retail & Sales Intelligence with Python

Microsoft Certified Demo Ready Python

This project is part of Microsoft’s Data Science certification module and focuses on uncovering insights from sales, retail, and marketing datasets using Python. Built with a strong analytical backbone and branded visual storytelling, the project demonstrates predictive modeling, customer segmentation, and campaign impact analysis.

📦 Repository Structure

sales-retail-analysis/ ├── data/ # Raw and cleaned datasets ├── notebooks/ # Jupyter walkthroughs ├── visuals/ # Branded dashboards and plots ├── models/ # Saved ML models (.keras / .tflite) ├── scripts/ # Reusable Python scripts ├── README.md # Project overview └── requirements.txt # Package dependencies

🔍 Project Modules

  1. Sales Analysis Analyze product trends and seasonality

Forecast future sales with regression models

Identify top-performing categories and regions

  1. Retail Intelligence (Walmart Data) Segment stores by performance

Explore inventory optimization

Forecast peak shopping periods using time-series methods

  1. Marketing Campaign Insights Measure campaign effectiveness

Perform clustering and sentiment analysis

Visual storytelling with branded dashboards

🧠 Tools & Techniques

pandas, NumPy for preprocessing

matplotlib, seaborn for visualization

scikit-learn for modeling and clustering

.keras and .tflite formats for lightweight model deployment

🎯 Outcomes

Strategic insights for retail and marketing teams

Reusable templates for data-driven storytelling

Lightweight deployable models for demo purposes

🌍 Author

Built by Leonard Phokane, combining data science, ethical AI, and visual branding to empower real-world impact in local communities.

🎨 Portfolio Spotlight: Leonard Phokane

Beyond this certification project, I’ve built a range of community-driven and ethically grounded tech solutions. Explore my portfolio to see how I merge creative coding, AI, and blockchain with social impact:

🌍 Portfolio Website → phokane-creative-code.lovable.app

💼 Featuring:

KaziLink: A job-matching platform uplifting local communities

COMPAS Audit: An ethical AI tool promoting fairness and transparency

Recycle Dataset: ML-powered waste classification for environmental impact

📱 Skills in Flutter, TensorFlow Lite, Blockchain, Firebase, and more

“Technology is most powerful when it amplifies human potential and creates opportunities for those who need them most.” — Leonard Phokane

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