AI Engineer | Data Scientist | Data Engineer | Business Intelligence | Monitoring, Evaluation & Learning (MEL)
Nairobi, Kenya
GitHub: https://github.com/rajab-bett-analytics
LinkedIn: https://www.linkedin.com/in/rajab-bett
Email: rajab.bett.data@gmail.com
Portfolio: https://www.scrapiq.com
AI Engineer, Data Scientist, and Statistics graduate with over four years of experience designing intelligent applications, data platforms, analytics solutions, and workflow automation systems that transform complex data into actionable insights.
My expertise spans Artificial Intelligence, Data Science, Data Engineering, Business Intelligence, and Monitoring, Evaluation & Learning (MEL). I build scalable ETL/ELT pipelines, machine learning solutions, Retrieval-Augmented Generation (RAG) applications, REST APIs, cloud-based analytics platforms, and interactive dashboards using Python, SQL, PostgreSQL, BigQuery, Apache Airflow, FastAPI, Docker, Power BI, and modern AI technologies.
My recent work includes:
- AI-powered customer support platform using Retrieval-Augmented Generation (RAG)
- Humanitarian food security intelligence platform with automated ETL pipelines
- Financial transaction fraud analytics using large-scale transactional datasets
- Monitoring, Evaluation & Learning (MEL) impact evaluation systems
- Business intelligence dashboards and executive reporting solutions
- Workflow automation and enterprise API integrations
I enjoy building reliable, production-ready systems that automate business processes, improve operational efficiency, and support evidence-based decision-making across private sector, financial services, NGOs, and development organizations.
- Retrieval-Augmented Generation (RAG)
- Large Language Model (LLM) Applications
- AI Agents
- Prompt Engineering
- Semantic Search
- Vector Databases (pgvector)
- Intelligent Document Processing
- Statistical Analysis
- Machine Learning
- Predictive Analytics
- Feature Engineering
- Model Evaluation
- Fraud Analytics
- Data Exploration
- Business Analytics
- ETL / ELT Development
- Data Warehousing
- Data Modeling
- PostgreSQL
- BigQuery
- Apache Airflow
- dbt
- Data Quality Validation
- REST API Integration
- Power BI
- Dashboard Development
- KPI Reporting
- Executive Reporting
- DAX
- Data Visualization
- Indicator Development
- Theory of Change (ToC)
- Logframe Design
- Impact Evaluation
- Treatment-Control Analysis
- Survey Data Management
- Evidence-Based Reporting
- KoboToolbox
- FastAPI
- REST API Development
- Workflow Automation
- n8n
- Docker
- Git
- GitHub
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- Statistical Analysis
- Machine Learning
- PostgreSQL
- BigQuery
- Apache Airflow
- dbt
- ETL / ELT
- Data Warehousing
- Data Modeling
- Google Gemini
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Prompt Engineering
- pgvector
- FastAPI
- REST APIs
- Authentication
- JSON APIs
- Power BI
- DAX
- Dashboard Development
- Data Visualization
- Excel
- Docker
- AWS S3
- Render
- Git
- GitHub
- n8n
- API Integration
- Webhooks
- Google Sheets
- Airtable
Python | FastAPI | PostgreSQL | pgvector | Docker | React | TypeScript | Google Gemini
- Developed a production-ready AI customer support platform using Retrieval-Augmented Generation (RAG)
- Built document ingestion pipelines supporting PDF processing, chunking, embeddings, and semantic indexing
- Integrated Google Gemini for intelligent question answering and intent classification
- Developed scalable REST APIs for authentication, document management, and AI conversations
- Implemented vector similarity search using PostgreSQL and pgvector
- Designed modular backend architecture suitable for cloud deployment
Apache Airflow | Python | PostgreSQL | BigQuery | dbt | Power BI | n8n | KoboToolbox
- Built an end-to-end humanitarian analytics platform for food security monitoring
- Automated data ingestion, transformation, validation, and reporting workflows
- Developed dimensional data models and analytics-ready datasets
- Implemented vulnerability scoring and automated notifications
- Created interactive dashboards supporting operational decision-making
Python | SQL | PostgreSQL | Power BI
- Analysed over 6 million financial transactions to identify suspicious behaviour and fraud patterns
- Built SQL reporting models supporting fraud investigations
- Applied statistical techniques to detect behavioural anomalies
- Developed fraud dashboards and operational reporting
Python | SQL | PostgreSQL
- Designed a Monitoring, Evaluation & Learning analytics platform
- Performed treatment-control impact evaluation
- Developed programme performance indicators and reporting models
- Produced evidence-based insights supporting programme improvement
Python | Scikit-learn
- Built machine learning models for clinical outcome prediction
- Applied feature engineering and model evaluation techniques
- Compared multiple classification algorithms using standard evaluation metrics
Power BI | SQL
- Developed interactive executive dashboards
- Designed KPIs and performance reporting
- Analysed customer behaviour and sales trends using RFM segmentation
November 2022 – Present
- Design and develop AI-powered applications using Retrieval-Augmented Generation (RAG) and Large Language Models
- Build scalable ETL/ELT pipelines integrating APIs, cloud services, and enterprise databases
- Develop machine learning, statistical analysis, and fraud analytics solutions using Python and SQL
- Build analytics-ready data platforms supporting business intelligence and operational reporting
- Design REST APIs and backend services using FastAPI
- Automate business processes using Python, n8n, and cloud-based workflow orchestration
- Produce technical documentation and collaborate with clients to translate business requirements into scalable technical solutions
Simlaw Seeds Company
May 2022 – August 2022
- Supported operational reporting and business analytics
- Cleaned, transformed, and validated production and sales data
- Assisted in dashboard development and KPI reporting
- Improved reporting accuracy through standardized data validation
Bachelor of Science in Statistics
Taita Taveta University
2018 – 2023
- Strong interest in Artificial Intelligence, Data Science, Data Engineering, Business Intelligence, and Monitoring, Evaluation & Learning (MEL)
- Experience building production-ready analytics, automation, and AI solutions
- Passionate about workflow automation, evidence-based decision-making, and digital transformation
- Languages: English, Kiswahili
- AI Engineer
- Data Scientist
- Data Engineer
- Analytics Engineer
- Business Intelligence Engineer
- Monitoring, Evaluation & Learning (MEL) Specialist
- Fraud & Risk Analytics
- Machine Learning Engineer