Expertise & Experience

Bridging the gap between climate science and data technology through advanced analytics, geospatial modeling, and research.

Technical Arsenal

Programming & Data Science

Python (Pandas, NumPy,Xarray GeoPandas, Scikit-Learn)SQL & PostgreSQLAutomated ETL PipelinesStatistical Modeling & Time-Series Analysis

Geospatial & Modeling

QGIS & ArcGIS ProGoogle Earth Engine (JavaScript/Python)HEC-RAS & Hydrological ModelingLiDAR Data Processing (Pix4Dmapper)

Web & Visualization

Next.js & ReactStreamlit DashboardingMapbox GL JS & LeafletPlotly & D3.js Data Viz

Professional & Science

IPCC AR5 Risk FrameworksMeteorological Data ManagementTechnical CommunicationPolicy Brief Development

Core Focus Areas

Climate Risk Modeling

Specialist in applying the IPCC AR5 "Hazard-Exposure-Vulnerability" framework to local scales. I develop multi-criteria decision models that integrate socio-economic vulnerabilities with hydrological and meteorological hazard data.

Automated Data Pipelines

Architecting robust ETL systems for meteorological datasets. I specialize in developing Python-based workflows that automate the ingestion, validation, and visualization of data from diverse sensor networks and satellite sources.

Geospatial Remote Sensing

Expert in processing multi-spectral satellite imagery and high-resolution LiDAR data for environmental monitoring. Proficient in GEE for large-scale temporal analysis of vegetation health and soil moisture anomalies.

Professional Journey

03/2026 — Present

Graduate Intern — Engineering & Communication

Department of Climate Change and Meteorological Services

Working within the division responsible for Malawi's meteorological infrastructure — AWS networks, data systems, and internationally-funded modernization programs including 3D-PAWS and PUMA 2025.

PythonData EngineeringMeteorological InfrastructureETL Pipelines

02/2026 – Present

Chief Technology Officer

Ascend Spatial Labs

Architected and deployed full-stack company platform using Next.js and Mapbox.

Lead technology strategy for precision LiDAR mapping and flood risk assessment.

Next.jsMapboxLiDARCTO

07/2024 – 12/2024

Climate Data Analyst — Intern

Department of Climate Change and Meteorological Services

Analyzed weekly & monthly climate data (rainfall, temperature, humidity) from 120+ stations.

Developed visualizations & statistical analyses for national climate bulletins.

PythonExcelData VisualizationClimate Analysis

Education

BSc Meteorology and Climate Science

Malawi University of Science and Technology (MUST)

2021 – 2025Thyolo

Statistics, Python, GIS, Climate Modeling, Weather Analysis

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