Industrial Machine Learning – Certification Program

মডিউল ১ : Introduction to ML in FinTech & Startups

• What is Industrial & FinTech ML
• Difference: Traditional ML vs Startup/FinTech ML
• Applications in Payment Systems, Lending, Fraud Detection, Risk Analysis, Customer Analytics
• ML in FinTech Products: Neo-banks, P2P Lending, Wallets
• Startup Data Types: Transactional, Behavioral, Log Data

মডিউল ২ : Data Foundations for FinTech & Startups

• Financial Data Sources: Transactions, Accounts, API logs
• Customer & Behavioral Data
• Data Warehousing & Cloud Storage (AWS, GCP, Azure)
• Data Privacy & Compliance (GDPR, PCI DSS, Bangladesh regulations)
• Data Cleaning: Missing, Anomalous, Duplicated Transactions

মডিউল ৩ : Data Preprocessing & Feature Engineering

• Handling Time-Series Transaction Data
• Aggregation: Daily, Weekly, Monthly
• Feature Engineering: Customer Segmentation, Churn Indicators, Lifetime Value (LTV)
• Encoding Categorical Data (One-hot, Label Encoding)
• Fraud & Outlier Detection

মডিউল ৪ : Machine Learning Fundamentals for FinTech

• Supervised Learning: Credit Scoring, Fraud Detection
• Unsupervised Learning: Customer Segmentation, Anomaly Detection
• Classification Algorithms: Logistic Regression, Decision Trees, Random Forest, XGBoost
• Regression Algorithms: Revenue & Loan Amount Prediction
• Model Evaluation: ROC-AUC, Precision, Recall, F1-Score

মডিউল ৫ : Time-Series & Forecasting

• Transaction Forecasting
• Revenue Prediction
• ARIMA, SARIMA, Prophet
• LSTM / GRU for Financial & Behavioral Data
• Detecting Seasonality & Trends

মডিউল ৬ : Fraud Detection & Risk Analytics

• Fraud Patterns in Transaction Data
• Anomaly Detection Techniques
• Credit Risk Scoring
• Probability of Default Models
• Real-Time Transaction Monitoring

মডিউল ৭ : Recommendation Systems for FinTech & Startups

• Personalized Product Recommendations (Loans, Investments, Insurance)
• Collaborative Filtering & Content-Based Filtering
• Hybrid Models
• Case Study: Wallet & Neo-bank Recommendation Engine

মডিউল ৮ : ML for Customer Insights

• Churn Prediction
• Customer Segmentation & CLV Prediction
• Behavioral Analytics
• Retention & Engagement Models
• Targeted Marketing & Campaign Optimization

মডিউল ৯ : ML System Deployment & MLOps

• Building APIs for Real-time Decision Making
• Cloud Deployment: AWS Sagemaker, GCP AI Platform, Azure ML
• Model Monitoring & Drift Detection
• Automated Retraining Pipelines
• Security & Compliance in FinTech ML

মডিউল ১০ : Startup Data Analytics & Optimization

• Fundraising Data Analysis
• Investor & Revenue Prediction
• Operational Optimization using ML
• A/B Testing & Experimentation
• Process Automation for Startups

মডিউল ১১ : Capstone Project

• End-to-End FinTech / Startup ML Project
• Dataset: Realistic Transaction, Startup Operational, or Customer Behavior Data
• Tasks: Fraud Detection, Customer Segmentation, Forecasting, Recommendation
• Deployment & Monitoring in Cloud / Edge Environment
• Presentation & Practical Demo