Through various personal projects and relevant coursework, I've been opportuned to gain the necessary enlightment necessary for web application developement using different technologies. These technologies span over different frameworks, but have been focused on HTML/CSS/JS for frontend developement, Flask and Django for Backend developement, and MySQL among others for database management. For data analysis related app developement, Rshiny, PowerBi and Tableau have stood the test of time.
Eager to make the most out of datasets, I've also acquired the relevant skill required for data analysis and predictive modeling using R and Python. Equipped with these tools, I explore datasets using different analysis techniques such as linear and logistic regression, clustering, random forests, matching and synthetic control to mention but a few.
Currently, my experiences in API creation and web scraping using tools like Swaggerhub and Python Selenium package also make me a perfect candidate for projects involving data collection. From writing automation scripts to sending JSON requests, I'm apt to get the job done
As an avid learner, my skill set extends beyond a single stack, framework or field of computer science. By working on a wide range of projects ranging from internships to personal interests, I've gotten to develop hardcore software development skills and learn best practices which will prove useful in any software development setting.