Design and deployment of AI systems including classification, NLP, anomaly detection and forecasting solutions.
Development of short-text classifiers, sentiment analysis, and lexicon-enhanced transformers for real-world text data.
Academic and corporate workshops on Machine Learning, Python, and Cloud-based AI development practices.
XGBoost + SHAP explainability for telecom dataset churn classification (GitHub).
Regex-based log parsing with cryptographic encoding and hash auditing.
Distributed Spark MLlib pipeline for large-scale health dataset processing.
Founded by experienced AI researcher Dr. Saugata Bose, Analytics Edge Learning provides innovative solutions at the intersection of AI research and real-world IT consulting. We are driven by the belief that technology should be both intelligent and inclusive, offering services that empower individuals, businesses, and communities.