Pharaoh Chirchir brand mark Pharaoh Chirchir
Pharaoh Kipkirui Chirchir
Professional Job Card

Data, BI and AI systems that move work forward.

I help teams turn scattered data, slow reporting, and manual review into decision-ready dashboards, reliable pipelines, predictive models, and practical AI tools.

9+Years across data and operations
75%Reporting prep time saved
41%Processing time reduction at IOM
12+Countries of regional impact
Role Lenses
Three ways I create value.

Pick the lens that matches your current problem. The same delivery discipline connects all three.

01 / 03

Analytics & BI

Turn messy operational data into dashboards, KPIs and narratives leaders can act on.

  • Power BI and Tableau dashboards for executive, donor and operations reporting.
  • Data cleaning, modelling, DAX measures, semantic models and row-level security.
  • Automated reporting pipelines that reduce repetitive weekly and monthly work.
Power BIDAXSQLFabricTableau
02 / 03

Data Analytics & Applied ML

Build predictive systems that surface risk early and convert model output into action queues.

  • Churn prediction, demand forecasting, classification and anomaly detection workflows.
  • Feature engineering, model evaluation, explainability and stakeholder-ready reporting.
  • Lightweight model interfaces using Flask, Streamlit, FastAPI and BI integrations.
PythonXGBoostSHAPscikit-learnFastAPI
03 / 03

AI & Automation

Create assistants and document tools that cut manual effort while keeping human review in place.

  • RAG assistants for knowledge-base search, document Q&A and structured summaries.
  • AI workflow automation for reporting, routing, review and operational follow-up.
  • Privacy-aware AI design with clear guardrails, source grounding and role-aware controls.
RAGLangChainGroq APIFlaskAutomation
Client Outcomes
What you can expect.

The goal is not more dashboards. The goal is cleaner decisions, faster delivery, and systems your team can continue using.

Clear KPIs

Shared definitions, trusted metrics and dashboards designed around decisions.

Less Manual Work

Automated pipelines and repeatable workflows that reduce spreadsheet-heavy reporting.

Earlier Risk Signals

Prediction, anomaly detection and prioritised queues for targeted action.

Adoption Ready

Documentation, training and handover so the system survives beyond delivery.

Working Model
Simple engagement flow.
01

Discovery

Clarify the problem, users, data landscape and success criteria.

02

Scope

Define deliverables, timeline, ownership and the decision to improve.

03

Audit

Review data quality, access, gaps, risks and governance needs.

04

Build

Develop iteratively with working demos, feedback and visible progress.

05

Deploy

Release the solution with documentation, controls and handover.

06

Support

Improve quality, monitor performance and support adoption.

Your data already has answers.

Bring the problem, the current workflow and the decision you want to improve. I will help shape it into a practical data, BI or AI solution.

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