Open to consulting & collaborations

Steven Nanga

Data Analyst & Biostatistician - Blantyre, Malawi

4+ years turning complex datasets into evidence across research, public health, and financial systems.

About

Research-minded analysis for decisions that matter

Data Analyst and Biostatistician with 4+ years supporting research, public health programmes, and data-driven decision-making. Currently pursuing an MSc in Biostatistics at the University of Malawi while contributing to active maternal health and population research projects. Experienced with NGO, university, and research partners across sub-Saharan Africa and internationally, including the NIH All of Us Research Program.

30%

Duplicate/mismatched records reduced at Credit Data CRB

200+

Professionals trained in R, Stata, SPSS and data visualisation

10+

MSc and PhD researchers supported across 4 countries

Statistical & Analysis

RPythonStataSPSSSASExcel

Viz & Reporting

Power BITableauR Shinyggplot2

Data Engineering

SQLETLDeduplicationDB Admin

Survey & Field Data

KoboToolboxODKQualtricsDHS/MICS

Research Methods

BiostatisticsEpidemiologyMixed Methods

Compliance

Data ProtectionDPIAResearch Ethics

Experience

A practical record across systems, research, and training

Credit Data CRB

Database Analyst / Acting DBA / Data Protection Officer

Jul 2023 - Present

Built ETL pipelines across 5+ source systems, reducing manual consolidation time by about 50%.
Developed SQL deduplication scripts that cut duplicate records by 30%.
Created Power BI dashboards adopted by senior management for operational monitoring.
Leads data protection compliance under the Malawi Data Protection Act.

Independent Research Consultant

Statistical and Research Data Consultant

Jan 2020 - Present

Provides end-to-end statistical support for 10+ MSc and PhD researchers at the University of Botswana, Zimbabwe, Zambia, and Wisconsin-Milwaukee.
Designed KoboToolbox and ODK field data systems for low-connectivity environments.
Trained 200+ professionals across government, NGO, and academic institutions.

NIH All of Us Research Program

Maternal Health & Wearable Data Analysis

Research collaboration

Led data preparation for a large-scale longitudinal maternal health study using Python and R.
Adapted the HIPPS algorithm to identify pregnancy episodes across hundreds of thousands of patient records.
Integrated Fitbit wearable data with clinical and demographic records across millions of rows.

Education

MSc Biostatistics - University of Malawi

2024-2026

BSc Applied Statistics - Catholic University of Malawi

2020-2023

Certifications

Business Analytics - Microsoft Power BI (In Progress)IBM Data ScienceIBM Data EngineeringGoogle Advanced AnalyticsGoogle Data AnalyticsJohns Hopkins R FoundationsCU Boulder Advanced AnalyticsCertNexus AI PractitionerGood Clinical Practice (GCP-E6 R3)Public Health Research EthicsInformed ConsentResearch Ethics EvaluationQualitative Research DesignFramework for Data Collection & Analysis

Projects