R shiny developer

Summary

Experienced Data Analyst and Software Developer skilled in both statistical dataanalysis and software engineering. Profi cient in statistical processes such asresearch design, data collection, statistical visualization, modeling, reporting, andpresentation. Additionally skilled in developing full-stack web applications,implementing machine learning models, and deploying scalable solutions onmodern cloud platforms.
Expertise includes Python, Django, React.js, R, and Shiny, with hands-onexperience building and deploying machine learning-driven web apps. Skilled inutilizing statistical tools such as SPSS, JMP, SQL, Power BI, Tableau, and Excel.Profi cient in Git workfl ows, including pull requests, code reviews, and versioncontrol through GitHub and GitLab.
Familiar with Agile methodologies, including Scrum and Kanban, with experiencein sprint planning and task tracking using GitHub Projects, GitLab CI/CDpipelines, and Jira. Seeking opportunities as a statistician/software developer inambitious organizations to apply expertise and contribute to data-drivendecision-making processes.

Expectations

In my new R developer role, I expect to work on innovative projects that leverage the power of data analysis and visualization, while continuously learning and improving my coding skills. I look forward to collaborating with a skilled team, contributing to the development of data-driven solutions, and using my expertise in R, Shiny, and statistical techniques to help solve complex business challenges. Additionally, I anticipate a dynamic environment where creativity and problem-solving are encouraged, fostering both personal and professional growth.

Employment Preferences

Spoken Languages

  • English - Fluent
  • Swahili - Fluent
Expected Base Salary

*,*00 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

8 years

Startup Experience

3 years

Big-Tech Companies

no experience

Enterprise Experience

8 years
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