David Entsie

Cleaned, transformed, and validated structured business datasets using Python and Excel with QA/QC to improve dataset reliability. Supported Power BI dashboard development and business reporting workflows based on client requirements.

Facilitated undergraduate laboratory practicals and supported delivery of Soil Science teaching. Maintained student performance records and departmental reporting systems with high organizational accuracy.

Processed high-volume voter data verification and ballot documentation across multiple electoral deployment periods. Followed strict compliance and confidentiality standards while handling voter and documentation workflows.

Designed a controlled pot experiment using RCBD with five nitrogen treatments and three replicates, collecting plant growth metrics and nitrogen uptake data. Performed Kjeldahl digestion and titration, then used one-way ANOVA with Tukey’s HSD to evaluate treatment effects and produced research documentation.

Cleaned and transformed structured financial datasets using Python (Pandas) and Excel to resolve inconsistencies and improve reporting accuracy. Built interactive Power BI dashboards using DAX measures and performed EDA to surface KPI and performance insights for stakeholders.

Conducted soil chemical analyses (pH, organic carbon, total nitrogen, and available phosphorus) to assess soil fertility status. Contributed field data collection and structured reporting for land management research.

Supported irrigation resource data collection through field surveys, sample testing, and dataset compilation. Contributed to irrigation planning and sustainability evaluation efforts.

Completed a BSc in Agricultural Science (Soil Science) at the University of Ghana (Legon) from 2020–2024, building skills in soil-focused research and analysis.