I design, build, deploy and maintain reporting platforms, analytics, BI, and practical AI systems that turn complex data into clear decisions across Corporate Security, UN migration, humanitarian programmes (NGOs), Commercial and Insurance.
Read the problems, the systems delivered and the results teams could measure afterwards.
I built alarm intelligence reporting to help response teams identify repeated false-alarm causes, reduce avoidable deployments and track operational accountability.
Delivered Fabric, SQL and Power BI reporting that helped teams monitor cases, reconcile exceptions, and focus attention where delays were occurring.
Standardized dashboards, KPI logic and data workflows so leaders could review trusted metrics faster instead of waiting on repeated manual reporting cycles.
Choose the proof that matters: hiring evidence, client outcomes or technical demos.
I help teams understand messy operations, structure the work and deliver trusted systems.
Start from one business problem, define the success metric, then build the reporting, analytics or AI product around it.
I include inspectable sandbox projects with sample data, filters, assistant flows and case-study context.
Review the below 3 flagship proof points: enterprise BI, self-service analytics, and AI development. 17 projects & working demos available.
Interactive browser demos that show the product thinking, retrieval flows, and analytics behavior behind the full systems.
A portfolio intelligence agent that answers from verified resume, project, impact, skills and writing evidence.
Interactive analytics dashboards rendered directly in the browser.
Four connected practices from raw data to AI-enabled decision support, backed by enterprise BI, AI engineering, and modern product infrastructure.
EDA, BI dashboards and people analytics that explain what happened and why.
Predictive models, anomaly detection and explainable scoring workflows.
ETL pipelines, workflow routing and document processing that reduce manual work.
RAG, LLM, computer vision and generative AI tools for operational teams.
See evidence, risks and change requests move from signal to accountable action.
Follow the journey from economics and field data to regional BI and AI delivery.
I build decision systems for teams working across countries, programmes and operational pressure. The work spans BI platforms, data warehouses, AI tools, CRM workflows, migration operations and insurance analytics.
My portfolio connects enterprise delivery with practical products: DataLens BI, WorkIQ Analytics, Ask Pharaoh AI, Document Intelligence RAG and predictive analytics sandboxes.
View Pharaoh Chirchir's full profileDownload the latest PDF resume with role details, certifications, project highlights, and measurable delivery outcomes.
📄 Download ResumeKeynotes, hackathons and regional forums where data and AI ideas were tested in public.
Joined CIOs, CTOs and senior technology leaders in Nairobi for practical roundtables on data management, cyber resilience, governance, compliance and protecting enterprise assets.
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Presented the NexaMom Mama Care AI Assistant idea during ITU hackathon use-case sessions, then turned the concept into a working RAG prototype for maternal-health education.
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Delivered a keynote in Nairobi on data protection, cybersecurity and AI challenges, covering ethical AI, access controls, cyber awareness and responsible technology practice.
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Attended the Nairobi symposium on cybersecurity and data protection in humanitarian action, exploring consent, AI risk, misinformation, privacy and multi-stakeholder collaboration.
View LinkedIn post ->Practical thinking on AI ROI, analytics platforms and useful data products.
Turns real Kenyan business and NGO problems into practical AI use cases, from mobile money fraud and stockouts to drought response, claims risk, and RAG for institutional memory.
Read article ->A practical look at Microsoft Fabric, OneLake, lakehouses, warehouses, Power BI, and whether one analytics platform can hold up when real data hits real pipelines.
Read article ->Explains where AI genuinely helps analysts: cleaning, anomaly detection, automation, modelling support, and faster preparation without replacing human judgment.
Read article ->Use this for full-time roles, consulting, BI dashboards, practical AI builds, or project collaboration. A strong first message only needs the goal, timeline, data context, and success metric.