Chukwunonso Daniel Nnadi

- Implemented deep packet inspection (DPI) analytics pipelines using SQL, Python, and Power BI, enabling real-time customer behavior insights for telecom stakeholders and improving segmentation accuracy by 30%. - Engineered data preparation workflows for high-volume network traffic datasets (terabytes-scale), improving data quality and reducing processing time by 25% through optimized transformations and validation rules. - Developed interactive customer analytics dashboards in Power BI, supporting executive decision-making on churn patterns, usage trends, and ARPU (Average Revenue Per User) analysis for a user base of 1M+ subscribers. - Collaborated with cross-functional teams including network engineers, product teams, and marketing to translate raw DPI data into actionable insights that enhanced marketing targeting and improved customer retention initiatives. Data & AI Consultant for Nigeria LNG Limited (NLNG) - Translated Complex business requirement (BRD) into technical data, ML and system architectures - Collaborated with team to drive backlog refinement, dependency management and sprint planning across multiple scrum squads. - Collaborated on the design of real-time data ingestion-pipelines integrating APIs, energy component, SAP BW and event streaming Platform. - Engineered a data validation process, survivor-ship rules, cleansing, anomaly detection and quality scoring in ingestion pipeline. - Collaborated with team on schema evolution, data lineage and version strategies. - Supported data integration with Azure Data Factory, Event Hubs and Azure SQL based architecture.

- Developed 20+ scalable ETL/ELT pipelines with ADF, Databricks, Logic Apps, and Log Analytics, increasing data processing speed by 30–40% and enabling real-time insights for financial services, utilities, and telecom operations. - Delivered customer, loan, HR, and power-consumption analytics solutions using Power BI and SQL, enhancing decision-making for 200+ business users and reducing manual reporting workload by up to 60% across client organizations. - Led data quality and master data governance initiatives and automating data stewardship notifications and built MDM workflows which improved data accuracy for an insurance provider by 25% and strengthened regulatory compliance. - Developed automated reporting systems for billing, operations scorecards, and merchant acquisition analytics, streamlining daily/weekly/monthly reporting cycles and saving teams 10+ hours per week in manual effort. - Mentored 7 junior data professionals over 6 months, improving team proficiency in Azure, SQL, and BI development and ensuring consistent delivery of enterprise-grade solutions.