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TRANSACTIQ – Transaction Analytics & Merchant Performance Intelligence

Full-stack transaction performance analytics platform built for payment processors and merchant networks. Delivers deep insights into approvals, declines, merchant KPIs, customer segments, and churn prediction with ML-driven forecasting.

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  • Machine Learning Engineering
  • Full-Stack Development
  • ETL Pipeline Design
  • Data Analytics

Executive Summary

TransactIQ is a full-stack transaction performance analytics platform built for payment processors and merchant networks. It delivers deep insights into approvals, declines, merchant KPIs, customer segments, and churn prediction with ML-driven forecasting.

Core Modules & Architecture

ETL Pipeline

CSV ingestion + schema normalization, de-duplication on transaction_id, payment method, category, merchant dimension tables, star schema design for analytical queries

Real-Time KPI Engine

Total volume, success rate, dispute rate, daily/weekly/monthly trend generation, failure reason breakdown, geo-based performance heatmaps

Merchant Performance Dashboard

Revenue contribution by merchant, declining/at-risk merchant detection, 30-day inactivity churn flagging, merchant leaderboard for Ops teams

Customer Segmentation (RFM)

High-value, At-risk, Dormant, Regular, New segments, lifecycle stage-based recommendations, LTV-based segmentation histograms

Churn Prediction

Logistic regression model, risk score (0–100), reason attribution (success rate drop, inactivity, volume decline)

REST API (FastAPI)

Endpoints: /api/kpis, /api/merchants, /api/transactions, /api/churn, /api/trends, /api/upload

Technical Implementation

FastAPIPythonSQLAlchemyReactViteTypeScriptscikit-learnPostgreSQLDocker Compose

Business Impact

500k+Daily Transactions Scaled
ProactiveAt-Risk Merchant Identification
Real-timeExecutive Reporting
ImprovedPayment Failure Insights

Keywords

ETLFastAPIReactMerchant AnalyticsChurn ModelingLogistic RegressionCustomer SegmentationPayment TrendsPostgreSQLKPIsTransaction Intelligence