| State | LGA | Endemicity | Pop at Risk | Treated | Coverage % | MDA Status |
|---|
| State | Pop at Risk | Pop Treated | Coverage % | IU Count | MDA Delivered |
|---|
Stacked distribution of delays across supply chain stages. Identify which segment (Dispatch, Transit, Last-Mile) contributes most to overall MDA delays.
| PO Number | Year | Drug | Qty (M tabs) | Stage | Dispatch Lag | Transit Time | Last-Mile | MDA Delay |
|---|
Action Intelligence Engine
Data-driven priority recommendations generated from epidemiological and supply chain analysis
States in red zone = High burden + Low coverage = priority for next MDA cycle.
Analyze the statistical relationship between two selected indicators over time.
| Priority | State | Issue | Indicator | Recommended Action | Urgency |
|---|
Business Intelligence
Transforming raw datasets into executive C-Suite narratives. Expert in translating multi-million-dollar portfolios into interactive command centers using Power BI and Tableau.
Data Engineering
Architecting scalable pipelines and robust data models. Proven track record dropping query latency by 15% across global health databanks using optimized SQL architectures.
Agentic AI & LLMs
Designing autonomous workflows orchestrating complex data routing via LLMs. Pioneering the integration of multi-agentic reasoning frameworks into traditional data domains.
I am an AI-Native Data Associate with 3+ years of experience transforming complex datasets into strategic insights for executive decision-making. My proven track record encompasses traditional BI (Power BI, SQL optimization, Data Governance) heavily augmented by deep expertise in Generative AI and LLM orchestration. I am highly adept at designing and deploying robust multi-agentic systems orchestrated with LangGraph and CrewAI to automate complex workflows, slash reporting latency entirely, and skyrocket operational productivity. I am profoundly passionate about architecting scalable, data-driven solutions at the exact intersection of robust data engineering and cutting-edge Agentic AI.
Professional Blueprint
- Designed and deployed executive-level Power BI dashboards for C-Suite stakeholders, optimizing multi-million-dollar portfolios.
- Engineered complex SQL data models on BigQuery & PostgreSQL, cutting query latency by 15% across 50+ key indicators.
- Centralized 56,000+ data points across 1,450+ indicators from world-class sources (World Bank, WHO) to ensure 100% regulatory reporting accuracy.
- Constructed AI content frameworks utilizing multi-agent reasoning to automate reporting, saving significant overhead blocks.
- Synthesized business requirements into actionable data models for E-mobility.
- Executed statistical modeling predicting demand, cutting lifecycles by 20%.
- Identified high ROI cost-savings via exploratory spatial geospatial analysis.