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Amanuel Tadele

Turning Data into Actionable Insights

I am a research and data professional specializing in digital data collection, data quality assurance, statistical analysis and machine learning. I help organizations transform complex data into reliable evidence and actionable insights.

  • Digital Data Collection
  • Data Analysis
  • Data Quality Assurance
  • Machine Learning
  • Deep Learning
  • Health Data Science

Expertise

Capabilities across the research data lifecycle

Digital Data Collection and Survey Programming

Programming and deploying CAPI/CATI instruments in SurveyCTO, KoboToolbox, ODK, and related platforms — including multilingual questionnaires and complex workflows.

Data Quality Assurance and Management

High-frequency checks, automated validation, field coordination, cleaning, and documentation so teams receive analysis-ready datasets.

Statistical Analysis and Research

Quantitative analysis with R, Python, Stata, and SPSS to support research questions, preliminary findings, and evidence generation.

Machine Learning and Deep Learning

Supervised machine learning workflows with scikit-learn, PyTorch, and TensorFlow — including thesis work on predicting incomplete under-five vaccination schedules in Ethiopia.

Health Data Science

Applied interest in health-related analytical problems, reflected in graduate thesis research on incomplete vaccination schedules among under-five children.

Data Visualization and Reporting

Interactive monitoring dashboards and analytical reporting with Power BI, Looker Studio, Python, and R for field and stakeholder use.

Geospatial Analysis and GIS

Spatial analysis with ArcGIS Pro, QGIS, and geospatial Python libraries, building on undergraduate GIS work on health service accessibility in Addis Ababa.

Selected projects

Data management contributions to research programs

Selected national, multi-region, and experimental studies demonstrating digital survey programming, field quality assurance, and delivery of analysis-ready datasets.

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Services

Practical support for research and M&E teams

End-to-end research data management services across digital survey programming, high-frequency quality checks, statistical analysis, and reporting.

01

Digital Data Collection and Survey Programming

Design and program digital survey instruments for CAPI and CATI fieldwork, including multilingual questionnaires and complex skip logic.

  • Digital data collection form development
  • Multilingual questionnaires and complex survey workflows
  • Form testing, deployment and troubleshooting

02

Data Quality Assurance and Management

Put monitoring and validation systems in place so issues are caught during fieldwork — not after the survey window closes.

  • High-frequency data quality monitoring
  • Automated validation and error detection
  • Data cleaning, consistency checks and analysis-ready dataset preparation

03

Research, Monitoring and Evaluation

Support quantitative research operations with survey design collaboration, data management, and progress tracking.

  • Quantitative research support
  • Survey design and data management
  • Monitoring dashboards and progress tracking

04

Machine Learning

Apply supervised machine learning and related analytical workflows to support evidence generation from research datasets.

  • Model development and evaluation
  • Model comparison and hyperparameter optimization
  • Explainable AI

05

Reporting and Data Visualization

Build dashboards and analytical reports that make survey operations and findings easier to monitor and communicate.

  • Dashboard development and performance monitoring
  • Analytical reports

06

Geospatial Data Analysis

Support research with GIS workflows and geospatial visualization grounded in geography and environmental analysis experience.

  • Geospatial analysis with ArcGIS Pro and QGIS
  • Python-based geospatial processing where needed
  • Spatial visualization to support accessibility and location-based research questions

Research operations

How reliable research data gets built

A practical workflow spanning survey programming, field monitoring, validation, cleaning, documentation, and analysis-ready delivery.

  1. Step 1

    Survey programming

    Build and test CAPI/CATI instruments for field deployment.

  2. Step 2

    Field monitoring

    Track submissions and support enumerators and supervisors in real time.

  3. Step 3

    Validation & HFC

    Run high-frequency checks and automated validation during collection.

  4. Step 4

    Cleaning & documentation

    Resolve inconsistencies and document decisions for reproducibility.

  5. Step 5

    Analysis-ready data

    Deliver clean datasets, dashboards, and preliminary analytical inputs.

Blog

Latest articles and achievements

Recent notes and milestones from research and professional practice.

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Contact

Let's discuss your next research data challenge

Reach out for research data management, digital survey systems, quality assurance, analysis, or visualization support.

Message

Send a message

Tell me briefly about your project or research need.