About Me

I work at the intersection of data analytics, governance, and responsible AI — helping organizations turn complex information into decisions that are accurate, ethical, and impactful. With certification as a CDMP professional and training in AI governance and strategy, I bring both governance discipline and technical depth to the solutions I design. My focus is on building data systems that foster trust: reliable pipelines, clear governance frameworks, and practical AI tools designed with responsibility in mind. For me, good data work is not just about efficiency — it’s about ensuring information serves people, not the other way around.

Technical Skills

🗂️ Data Management & Governance
Data Governance (DAMA)Data Quality Privacy (GDPR / Kenya DPA)Metadata & Lineage Policies & SOPsRisk & Controls

Implemented validation and lineage patterns and authored AI/data guardrails used across NGO projects.

📊 Data Analytics & Business Intelligence (BI)
EDAKPI DesignSQL (PostgreSQL) Python (Pandas/NumPy)Power BITableau Looker StudioPlotlyDashStreamlit

Delivered dashboards for 200+ stakeholders with automated refresh and narrative insights.

🧠 Data Science & Machine Learning (ML)
Classification & RegressionClustering Time Series (ARIMA/Prophet)NLP (NLTK/SpaCy) TensorFlow/KerasScikit-learn Evaluation & MetrificationResponsible AI

Built fraud, churn and text classifiers and added human-in-the-loop checks and simple model-risk notes.

🧰 Pipelines & Platforms
dbtDagsterLuigi APIs (FastAPI)ETL/ELT GCPAWS PDF Parsing (Camelot/PyPDF)Git

Orchestrated ingest, transform and serve for health and finance datasets and scripted data quality checks.

🗺️ GIS & Spatial Analysis
QGISGeoPandas Survey/Facility MappingGeospatial Viz

Mapped field coverage and developer distributions and layered analytics for decision support.

🤖 AI Agents & Automation
Google ADKTools & Routing MemoryEval & Guardrails

Prototyped multi-agent research and reporting workflows with governance dashboards.

Certifications & other skills

Tools, technologies, and credentials that back the work.

Career Journey | Experience

  • Data Specialist [PT] · Allure Africa

    2025 – Present

    • Achieved 100% compliance with Kenya DPA & GDPR by establishing program-wide governance practices.
    • Reduced reporting errors ~40% through enterprise data-quality checks.
    • Increased dataset reuse ~25% via glossary, catalog and lineage assets.
    • Designed and delivered a quality data governance framework, including accountability structures, business rules, and risk assessment protocols.
    • Cut compliance prep from weeks to days with dashboards and audit trails.
    • Facilitated workshops and training for senior management and data quality teams, aligning practices with governance standards.
    • Streamlined research and reporting using Google ADK multi-agent workflows.
    • Unlocked $2M+ in funding through maturity assessments and roadmaps.
    PythonPostgreSQLPower BIETLGovernance
  • Data Analyst · FEWS NET (AIR)

    2022 – 2025

    • Halved processing time by automating ingestions for 20M+ crop, price, and population records (Python, Luigi).
    • Delivered Dash & Power BI products for 200+ staff with scheduled refresh and usage docs.
    • Informed published bulletins through QGIS spatial analysis.
    • Enabled compliant data sharing via protocols aligned to national regulations.
    • Facilitated secure cross-agency exchange with governance policy alignment.
    • Contributed insights referenced in three national food security plans.
    • Supported the launch of HarvestStat Africa by cleaning, validating, and standardizing 574,000+ subnational agricultural records (1980–2022) across 33 countries and 94 crop types.
    PythonDjangoDash PostgreSQLETLDQA
  • Data Analyst & Researcher · Freelance Consultant

    2019 –

    • Cut manual preparation ~70% by deploying ETL on GCP/AWS for NGO, health and retail clients.
    • Supported routine monitoring in five hospitals with neonatal outcomes dashboards.
    • Halved turnaround for recurring analysis via operational dashboards (Looker/Tableau/Power BI).
    • Enhanced compliance with data privacy and security protocols.
    • Produced a comprehensive governance report defining data lifecycle controls, incident management procedures, and industry-standard training plans.
    • Sustained donor compliance and renewals with data governance processes.
    • Improved gross margin 2–4% and reduced promoted-SKU stockouts in pilots using price-optimization models (elasticity estimation, promotion uplift, constrained margins).
    • Modularized research, data preparation and report generation with ADK-based agents and guardrails.
    PythonSQLETLPower BITableauLooker
  • Data Science & ML Instructor · GoMyCode Kenya

    2024 – Present

    • Mentored 120+ learners in ML pipelines, deployment and AI ethics.
    • Designed 15+ workshops and guided capstones end-to-end.
    • Raised learner confidence ~40% by embedding Responsible-AI practices (survey).
    PythonMLSQLResponsible AI

Solutions & Projects I’ve Worked On

Check out some of the projects I have worked on recently.

Quality Data Governance & Management Plan

Quality Data Governance & Management Plan

Built a governance framework with roles, business rules, and lifecycle controls; led workshops and training; delivered a final report with risk assessment, incident procedures, and a training roadmap.

Role: Data Governance Consultant · Stack: DAMA-DMBOK2, Data Quality Rules, Risk Assessment, Incident Management

The services I offer

The list is not exhaustive. Feel free to reach out for more.

AI Agents & Automations

Design and deploy intelligent agents and automated workflows to streamline business operations, reduce repetitive tasks, and scale decision-making. Solutions range from chatbot assistants to backend data workflows, tailored to client needs.

LangChain OpenAI API Rasa Dialogflow Zapier n8n Airflow FastAPI AWS Lambda GCP Vertex AI Streamlit Dash
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  • Research and reporting copilots with tool-use and memory
  • Lightweight RAG and evaluation loops
  • Operational rollout, safety checks and observability

AI Readiness & AI Impact Assessment Evaluation (AIIA)

Evaluate the readiness, risks, and potential impacts of AI systems and ensure alignment with business objectives. Conduct a thorough assessment of the impact of AI systems before deployment. Ensure compliance, ethical alignment, and business value through structured reviews.

Model Risk typesNIST AI RMFVendor Assessment Risk Evaluation Governance Alignment Regulatory Compliance EU AI Act Bias Checks Security Privacy
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  • Model Risk types and NIST AI RMF
  • Risk Assessment
  • Impact Assessment
  • Data and AI mapping
  • Risk management
  • Vendor AI Risk Assessments
  • Readiness Assessment
  • Operational rollout, safety checks and observability

Predictive Modeling, Pricing & Forecasting

Develop and evaluate predictive models that deliver measurable ROI. From demand forecasting and uplift modeling to elasticity-aware pricing and inventory optimization, solutions are built with rigorous evaluation and business constraints in mind.

Time Series Elasticity Forecasting MLTime SeriesEvaluation Uplift Pricing Inventory Evaluation
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  • Promotion uplift modeling and cannibalization control
  • Multi-SKU demand forecasting with seasonality and events
  • Constrained optimization for margin, stockouts and working capital

Data Platforms, Analytics & Dashboards

I build data stacks from source to decision — warehouses, feature stores, and APIs feeding into strategy-driven dashboards with automated refresh and clear insights. The outcome: a robust, cost-tuned system that supports daily operations and long-term decisions.

PostgreSQLBigQuerySAP EDAPower BIDashdbt
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  • Warehouse design and modeling on Postgres and GCP BigQuery
  • Dagster/Luigi jobs and dbt transforms with lineage and tests
  • Integrations with SAP and other enterprise data sources
  • Decision-first KPIs and semantic data models
  • Dash/Power BI/Tableau builds with automated refresh
  • Documentation and knowledge transfer for internal teams

Data Strategy & Governance

I help organizations design and implement governance frameworks that make data reliable, compliant, and actionable. This covers operating models and stewardship roles, data quality controls, metadata and lineage management, and alignment with regulatory and business outcomes. The goal is not paperwork but practical, outcome-driven governance that empowers teams to use data with confidence.

DAMA-DMBOKData QualityLineage MetadataStewardshipCatalogs PrivacyComplianceOperating Models RACIPoliciesFrameworks
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  • Designing operating models with clear data ownership and stewardship roles
  • Implementing data quality frameworks aligned with DAMA best practices
  • Building metadata catalogs and lineage tracking for auditability
  • Embedding privacy and compliance controls into workflows
  • Developing policies, RACI charts, and training for sustainable governance

Privacy & Responsible AI

I support organizations in building and deploying AI and data systems that comply with global and local regulations while remaining practical for business use. This includes conducting Data Protection Impact Assessments (DPIAs), reviewing model risks and biases, and embedding responsible AI guardrails into product and governance lifecycles. By aligning with frameworks such as GDPR, Kenya’s Data Protection Act, and emerging AI standards, I help ensure that innovation is ethical, transparent, and defensible.

DPIAGDPRKenya DPA Model RiskBias & FairnessAI Governance ComplianceTransparencyAccountability EthicsAuditGuardrails
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  • Conducting Data Protection Impact Assessments and privacy audits
  • Embedding GDPR, Kenya DPA, and sector-specific compliance into workflows
  • Reviewing models for bias, explainability, and ethical risk
  • Designing practical guardrails for responsible AI deployment
  • Supporting audit trails, documentation, and accountability practices

Why You Should Hire Me

I design and ship decision-grade data products: analytics, ML, and the pipelines and platforms that keep them reliable. My work has reduced reporting errors by ~40%, shortened preparation cycles from weeks to days, and lifted margins by 2–4% in pricing pilots. I bring a differentiator most teams lack: governance and responsible-AI rigor baked into delivery — from data quality controls, evaluation, and clear accountability.

Contact

Let’s connect — you can send me a message directly:


Alternatively, shoot me a DM on Linkedin or book a call on my calendar: