Hi! I’m Franklin Okech, a Data Manager and Health Informatics Specialist based in Nairobi, Kenya. I design, build, and maintain data systems that support maternal and newborn healthcare programs, helping hospitals and research teams turn raw data into actionable insights. My work focuses on improving data quality, reporting efficiency, and operational decision-making through scalable, reliable, and secure solutions.

Technical Skills

• Programming & Scripting:
  Python | R | SQL | Bash | JavaScript

• Web & Application Development:
  Django | Vue.js | React | Flutter

• Data Engineering & Infrastructure:
  Linux | Docker | PostgreSQL | MySQL | MSSQL | Oracle | Git | GitLab | Airflow | SQLAlchemy | BigQuery | AWS S3 / GCP Storage

• Data Visualization & BI:
  R Shiny | Streamlit | Power BI | Superset | Google Data Studio | Metabase | Matplotlib | Seaborn | Plotly | QGIS

• Electronic Data Capture & Health Systems:
  REDCap | KoBoCollect | ODK | DHIS2 | Survey CTO

• Machine Learning & Analytics:
  Scikit-learn | Statsmodels | Pandas | Polars | NumPy | Tidyverse

• Monitoring & Alerts:
  Grafana | Prometheus | Slack integrations

My Work & Impact

I specialize in data management, engineering, and analytics, with measurable outcomes for each organization I’ve worked with:

• KEMRI-Wellcome Trust
  • Optimized the NEST neonatal data pipeline, increasing data availability to 99.9% and cutting processing times by 30%.
  • Built interactive dashboards using Apache Superset, improving real-time decision-making efficiency by 25%.
  • Developed a Django-based document archival system and data extraction using OCR technique, speeding document retrieval and analysis by 50%.
  • Contributed to the design and implementation of a national DHIS2 tracker app for the neonatal units in Kenya
• KEPRECON – ImproveCare Study
  • Designed and implemented multi-site maternal data systems with automated ETL pipelines, improving reporting timeliness by 40% and ensuring 100% data integrity.
  • Trained field teams on digital tools and research protocols, reducing data entry errors by 30%.
• Kidogo Early Years
  • Established a BigQuery data warehouse and digitized surveys using KoBoCollect, improving response accuracy by 35%.
  • Created Power BI dashboards, reducing manual reporting workload by 40%.
• Co-operative Bank of Kenya
  • Supported the migration to a new core banking system by developing data pipelines to ensure clean, accurate, and timely data transfer.
  • Automated validation scripts and ETL workflows, reducing data errors during the transition by 50%.
• ALX
  • Performed data mining and analysis of labor market data across 18 African countries, automating reporting with Python and Google Data Studio.
  • Migrated data storage from Google Sheets to Airtable, improving data accessibility and organization.
• Komaza Forestry Ltd
  • Built Python pipelines for harvest operations department, automating data collection and processing workflows.
  • Improved harvest volume forecasting accuracy from 75% to 95% using Statsmodels,
  • fully automated farmer payment system, reducing payment delays from 30 days to same-day.

I focus on practical solutions that deliver measurable improvements, especially in low-resource settings where resilient and efficient data systems are critical for impact.

Professional Approach

I’m a hands-on, problem-solving data professional who thrives at the intersection of data engineering, analytics, and healthcare. I partner with clinicians, researchers, and program teams to create tools that make data actionable, reduce errors, and support evidence-driven decisions. I enjoy building systems that are scalable, reliable, and tailored to multi-site programs and challenging operational contexts.