My team is working on a data enrichment project where we take satellite-collected data on precipitation and enrich it through a mix of data enrichment techniques. The project involves the extensive use of Geopandas and Kepler(to determine stations and hotspots for evaluation), Data wrangling and the Python Kriging tool.

● Converted students' projects dating from 1986 -2012 from hard copies to digital copies ● Created and indexed repositories of the projects ● Deployed and managed on-premises server solutions for the client ● Supervised the team that undertook the digitization project

● Collected and classified geographical data (rainfall, topography, population, maps, etc. ● Organized recorded and archived the collected data ● for reference in the CGIS data center. ● Provided feedback to CGIS on ways of improving the standard process of data collection in my department ● The data collected and collated by my team and I are being used in the CGIS to date.

Managed a 25-member enumeration team that relied on the results 2005 National population and housing census to evaluate population change ● my team and I undertook population sampling exercises that were used as the base information to accurately predict the post-census demographic developments without conducting a full-scale census. ● Collated and presented my team's work results to the commission. ● Collaborated with the cartographic department to generate accurate demographical maps of the region covered by the exercises in which we were engaged

Did a project in Demographic projection using existing population records from the National population commission and a mix of several demographic considerations (Migration records, Birth and death rate, housing and vehicle registration records, school enrollment records, etc.) to predict population change without having to actually carry out a population census.