Ifeanyi Idiaye | R & Python Programmer
Hi, I’m Ifeanyi Idiaye. I hold a degree in Applied Accounting from Oxford Brookes University, UK. Nowadays, I work as a data scientist/developer, with fluency in both R and Python programming, Shiny, Gephi, SQL, and Neo4j.
I have worked with a social media marketing firm as a data scientist, where my job entailed writing programs for scraping and analyzing Twitter data, using machine learning techniques to extract vital marketing and business insights from such data. I also developed a web application that was used to monitor trending topics, keywords, and hashtags on Twitter in different European countries simultaneously.
Presently, I am working as a freelance developer of software for importing network data from popular digital platforms, which can then be exported to social network analysis tools for scientific analysis.
I have a passion for data science, programming, and technology and a strong desire to learn new methods and technologies that can be leveraged to create solutions to problems. When I am not on my computer analyzing data or coding, then I am lounging on my couch, listening to old school music.
I have followed Statistics Globe for a while now, watching their YouTube tutorials from which I have learned quite a lot myself. Now, I am really happy to be able to work with the team to create further educative programming and statistical content on the Statistics Globe website.
Ifeanyi’s Articles on Statistics Globe
Please find a list of articles that I have written on Statistics Globe below.
Leave me a comment below or send me a message via the contact form of Statistics Globe. I look forward to hearing from you!
I’ve appreciated your resume, and those tutorials are very helpful.
Thanks so much, I am an statistician and Junior data scientist reason why I want to learn more from you Sir.
Hello Viny! Thanks for your kind words. I am happy to learn that you are benefiting from reading my tutorials 🙂 . If you want to improve your coding skills and proficiency in statistics, then Statistics Globe is the place to be. I, therefore, encourage you to spend more time reading the fantastic Python and R tutorials here on Statistics Globe. They will help you a lot on your journey!