A results-oriented engineer with a solid background in software development, data analytics & project management. Raymond has a demonstrated track record of successfully delivered products used by public utilities or development institutions. Raymond is skilled in front-end user interface development using JavaScript / TypeScript, API development with either Node.js or Python, data analytics using R & QGIS and other industry tools.
Work experience
Charged with translating client (Ministry of Water & Environment de-concentrated umbrella public water utilities) user digitalization needs into technical requirements for the engineering team, developed project pitch MVPs, managed project timelines, costs and finally development user support documentation.
Support to 3-man consultancy team implement a market based scoping study to ascertain project feasibility & community willingness to pay for water supply services
Involved implementation of radio departments digital strategy, content creation for web and social media platforms, handled data analytics, reporting and events organization
Education
Part of the Front-end programming track, I was explored to popular frontend frameworks like ReactJS with Bootstrap and Vue3 with TailwindCSS where I got the opportunity to be mentored by senior engineers in the industry and work on two real life projects.
A 1-year project based learning apprenticeship exposing me to the basis of computer programming like data structures & algorithms, shell programming, databases, devops basics, software testing, back-end frameworks & front-end basics (HTML & CSS) and soft skills (technical writing, white-boarding, pair programming & time management) . I specialized in back-end programming.
Finalized a degree in Water & Sanitation Engineering with a bias to environmental data analysis and prediction modeling of complex natural phenomenons like water supply system functionality status and customer behavior.
A data science and machine learning boot-camp that exposed me to data analysis, data prediction modeling using languages like R and python and data story visualization using tools like Shiny and streamlit
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