Advanced Hybrid Deep Learning Models for Solar Energy Holding Capacity Prediction in Bangladesh
A comprehensive study presenting a hybrid ensemble deep learning model that accurately predicts solar energy holding capacity using environmental and weather factors, achieving 95% accuracy through the integration of Random Forest, XGBoost, Gradient Boosting, AdaBoost, and Neural Network meta-learner.
Analyzing E-Commerce Sales Trends with Time Series Forecasting
A deep dive into seasonal patterns and predictive modeling for online retail sales using Python and statistical methods.
Machine Learning Model Comparison: Finding the Best Algorithm
Comprehensive evaluation of five different ML algorithms on a classification problem, comparing accuracy, precision, and computational efficiency.
Sentiment Analysis of Social Media Comments on COVID-19 Post-Vaccination in Bangladesh
A comprehensive study analyzing public sentiment towards COVID-19 vaccines in Bangladesh using classical machine learning, ensemble classification, and deep learning models. The research achieved 78.8% accuracy using LSTM with Word2Vec embeddings, providing insights for policymakers and healthcare professionals.
How I Built Payment APIs: Architecture, Authentication & Integration
A deep dive into designing production-grade payment REST APIs — covering consistent response structures, token-based authentication, bill locking, two-phase payment commit, idempotency keys, and dispute resolution patterns used in real financial systems.
How Banks and FinTechs Integrate with Payment APIs: Procedures and Protocols
A practical walkthrough of the full FinTech-to-billing-system integration lifecycle — from partnership onboarding and IP whitelisting to payer type classification, bank routing requirements, reconciliation workflows, and OTC agent network integration.
How I Built a Dispute Automation System in .NET 9: Architecture, Patterns & Lessons Learned
A deep dive into building a production-grade .NET 9 Web API that automates utility bill dispute and reconciliation workflows across multiple external providers — covering layered architecture, the repository and service invoker patterns, two-level logging, configuration management, and a step-by-step guide to onboarding new clients.
Data Pipeline Architecture: Building Scalable ETL Systems
Designing and implementing a robust data pipeline using Apache Airflow, handling millions of records daily with error handling and monitoring.
Deep Learning for Image Classification: A Practical Guide
Building and training a convolutional neural network using TensorFlow and Keras to classify images with 95%+ accuracy.
SQL Optimization: Improving Query Performance by 10x
Analyzing slow queries in a production database and implementing optimization techniques including indexing, query rewriting, and partitioning.
A/B Testing Statistical Analysis: Making Data-Driven Decisions
Designing and analyzing A/B tests for website conversion rates, using proper statistical methods to ensure reliable results.
Building a Real-Time Analytics Dashboard with React and D3.js
Creating an interactive dashboard to visualize real-time data streams, implementing WebSocket connections and dynamic chart updates.
Getting Started with PostgreSQL: A Beginner's Guide to Database Administration
Learn the fundamentals of PostgreSQL, from installation to basic administration tasks. Perfect for beginners starting their database journey.
Understanding Database Indexes: A Beginner's Guide to Performance Optimization
Learn how database indexes work, when to use them, and how they can dramatically improve query performance.