Experienced Data Analyst and Software Developer skilled in both statistical data analysis and software engineering. Procient in statistical processes such as research design, data collection, statistical visualization, modeling, reporting, and presentation. Additionally skilled in developing full-stack web applications, implementing machine learning models, and deploying scalable solutions on modern cloud platforms.
Expertise includes Python, Django, React.js, R, and Shiny, with hands-on experience building and deploying machine learning-driven web apps. Skilled in utilizing statistical tools such as SPSS, JMP, SQL, Power BI, Tableau, and Excel. Procient in Git workows, including pull requests, code reviews, and version control through GitHub and GitLab.
Familiar with Agile methodologies, including Scrum and Kanban, with experience in sprint planning and task tracking using GitHub Projects, GitLab CI/CD pipelines, and Jira. Seeking opportunities as a statistician/software developer in ambitious organizations to apply expertise and contribute to data-driven decision-making processes.
Work Terms
Hours of Operation: Flexible, based on project needs.
Payment Terms: Open to hourly, milestone-based, or fixed-rate payments.
Preferred Communication: Available via Guru.
Collaboration Style: I value clear project scopes, structured workflows, and iterative feedback loops to ensure smooth development and delivery.