Analysis Finance Transactions

Here is a professional and concise English description for your Financial Transactions Analysis project, perfect for a portfolio or a freelance profile like Mostaql:

Project Description: Financial Transactions Analysis

This project involves a deep-dive analysis of financial transaction data to uncover purchasing patterns, optimize cash flow, and evaluate the performance of various payment channels.

1. Data Exploration & Understanding:

Performed an initial audit of the transaction structure, covering key variables such as Transaction IDs, Customer IDs, Payment Methods, and Status.

Defined the temporal scope (2017–2018) to contextualize growth trends.

2. Data Cleaning & Preprocessing:

Handled missing values particularly in payment timestamps and review scores.

Performed feature engineering by extracting temporal features (Month, Day, Quarter) for time-series analysis.

Ensured data integrity by removing duplicates and rectifying inconsistent financial records.

3. Financial Insights & Business Logic:

Executed table merging and complex joins to answer critical business questions:

Order Lifecycle: Analyzed the ratio of "Delivered" vs. "Canceled" or "Processing" orders.

Payment Ecosystem: Identified the most preferred payment methods (Credit Card, Boleto, Voucher) and their impact on transaction completion speed.

Geographic Performance: Pinpointed top-performing States and Cities to identify the primary market share.

Value vs. Satisfaction: Correlated "Payment Value" with "Review Scores" to assess if higher-ticket transactions lead to better customer satisfaction.

4. Time-Series & Growth Analysis:

Calculated Average Monthly Payment Values to monitor revenue fluctuations.

Identified peak seasons and high-growth periods between 2017 and 2018 to detect market trends.

5. Technical Execution (Python ):

Python: Conducted statistical analysis and generated a Correlation Matrix to understand relationships between numerical variables (e.g., shipping time vs. payment value).