• Designed 3 ETL pipelines in Python via Azure ML Studio that extracts social media data from Meltwater API, filters invalid data, transforms JSON into CSV, loading it into Azure Blob Storage to help run the deployed ML Endpoint.• Adapted a Named Entity Recognition Script by leveraging an enhanced Spacy BERT architecture to create visualization insights, by introducing a Bing powered geocoding script to extract coordinates for ArcGIS map transition.• Established a Machine Learning based Topic Categorization script over key-word, improving accuracy to 83%.• Created 3 desktop flows via Power Automate to constantly update the Client Front with 96% success, by fetching, filtering, activating Azure Functions and updating Azure SQL Database for Power BI incremental refresh.• Developed a Cosine Similarity - Agglomerative Clustering based Alert System by carefully devising the threshold points with over 70% correct Alert measures, and filter measures removing up to 65% of unwanted information.• Contributed to introducing new features and enhancing capabilities of KnowledgeArk.AI, an AI-powered Holistic Risk Mitigation Solutions Engine, as a result of intensive research and new developments.