Ogombo-collins/Love-via-Mpesa

# ❤️ Love in the Time of Mobile Money ### Valentine’s Day Spending Behaviour Using Synthetic M-Pesa Transactions (Kenya) --- ## 📌 Project Overview This project explores **Valentine’s Day–driven spending behaviour** in Kenya using a **fully synthetic M-Pesa transaction dataset**. The objective is not to reproduce real transaction data, but to **simulate realistic behavioural patterns** based on: - Publicly reported M-Pesa usage statistics - Documented Valentine’s spending trends - Academic and behavioural research on mobile money usage in Kenya The resulting dataset enables rigorous **before–during–after analysis** of how emotionally driven financial behaviour manifests in transaction volume, timing, value, demographics, and recovery dynamics. --- ## 🎯 Objectives - Demonstrate how **event-driven behaviours** can be modeled using synthetic data - Explore **temporal, demographic, and behavioural shifts** during Valentine’s period - Provide a **reproducible framework** for behavioural analytics, storytelling, and dashboard prototyping - Serve as a **portfolio-quality analytical case study** --- ## 🧪 Data & Methodology Summary - **Data Type:** Fully synthetic M-Pesa P2P transactions - **Simulation Period:** February 2025 - **Population Size:** 50,000 simulated users - **Data Generation:** Python-based probabilistic simulation - **Grounding Sources (Conceptual):** - Safaricom PLC annual usage averages (2024–2025) - Mastercard Love Index (2017–2020 sentiments & trends) - Academic and practitioner studies (Busara x CGAP, TIFA, fintech literature) > ⚠️ No real user data is used. No affiliation with Safaricom or M-Pesa is implied. --- ## 📂 Project Structure ```text ├── notebook/ │ └── love_in_the_time_of_mobile_money.ipynb ├── data/ │ └── synthetic_mpesa_valentine_transactions.csv ├── docs/ │ ├── Data_dictionary.md │ └── Valentine_synthetic_dataset_logic.md ├── visuals/ │ └── Insights visuals/images of analysis ├── README.md ``` --- ## ⏱️ Analytical …