Hi! My name is Ezekiel Adebayo Ogundepo and I am a certified RStudio instructor 😄. You can find more about me on my website.

• 🔭 I’m an innovator and inventor.

• 😄 I love wrangling data, building tools, and automating processes.

• 🌱 I work with 54gene as a senior data specialist. I also work with the Virus Outbreak Data Network (VODAN Africa and Asia) as a Data Steward.

• 👯 I’m open to collaborate on Projects and StartUps.

• 💬 Talk to me about R and Python for Everyone, Data Science, Business Analytics, Data Engineering, Automation, Research Software Engineering (RSE), and Open Source.

• bulkreadr package:

bulkreadr is an R package that simplifies and streamlines the process of reading and processing large volumes of data. It allows users to efficiently read multiple sheets from Microsoft Excel/Google Sheets workbooks and multiple CSV files from a directory.

• forstringr package:

Forstringr enables complex string manipulation in R especially to those more familiar with LEFT(), RIGHT(), and MID() functions in Microsoft Excel. The package combines the power of stringr with other manipulation packages such as dplyr and tidyr.

• Mastering Shiny Solutions Book:

A book that offers solutions to the exercises from Hadley Wickham’s book Mastering Shiny.

• ralger R package:

The goal of ralger is to facilitate web scraping in R. The user has the ability to extract a vector with scrap(), a tidy dataframe using tidy_scrap(), a table with table_scrap() and web links with weblink_scrap().

• Big Book of R:

The biggest collection of R books.

• Co-Editor:

Beginners’ Artificial Intelligence & Python Programming Book for Primary and Junior Secondary.

• COVID-19, healthcare facilities, and economic related data in Nigeria, Mendeley Data. DOI: http://dx.doi.org/10.17632/8h5rtbbx7m.2

• Location-based Tweets in Africa on COVID-19 Pandemic, Mendeley Data. DOI: http://dx.doi.org/10.17632/c8x5tpvzmk.1

• Ogundepo, E. A., & Yahya, W. B. (2023). Performance analysis of supervised classification models on heart disease prediction. Innovations in Systems and Software Engineering, 1-16. doi: https://doi.org/10.1007/s11334-022-00524-9

• OGBUJU E., BANJO O., OGUNDEPO E.A., FOLORUNSO S., OLADIPO F. (2022). A DATASET OF LOCATION-BASED TWEETS IN AFRICA ON COVID-19 OUTBREAK. The Journal of Information Systems & Operations Management, 16(1), pp. 200-208.

• Folorunso, S.O., Ogundepo, E.A., Awotunde, J.B., Ayo, F.E., Banjo, O.O., Taiwo, A.I. (2022). A Multi-Step Predictive Model for COVID-19 Cases in Nigeria Using Machine Learning. In: Hassan, S.A., Mohamed, A.W., Alnowibet, K.A. (eds) Decision Sciences for COVID-19. International Series in Operations Research & Management Science, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-030-87019-5_7

• Folorunso, S. O., Awotunde, J. B., Banjo, O. O., Ogundepo, E. A., & Adeboye, N. O. (2022). Comparison of Active COVID-19 Cases per Population Using Time-Series Models. International Journal of E-Health and Medical Communications (IJEHMC), 13(2), 1-21. http://doi.org/10.4018/IJEHMC.20220701.oa6

• Folorunso, S., Ogundepo, E., Basajja, M., Awotunde, J., Kawu, A., Oladipo, F., & Abdullahi, I. (2022). FAIR machine learning model pipeline implementation of COVID-19 data. Data Intelligence, 1-32.

• Oladipo, Francisca, Sakinat Folorunso, Ezekiel Ogundepo, Obinna Osigwe, and Akinyinka Akindele. "Curriculum development for FAIR data stewardship." Data Intelligence (2022): 1-42.

• Ghardallou, M., Wirtz, M., Folorunso, S., Touati, Z., Ogundepo, E., Smits, K., ... & van Reisen, M. (2022). Expanding Non-Patient COVID-19 Data: Towards the FAIRification of Migrants' Data in Tunisia, Libya and Niger. Data Intelligence, 1-24.

• Adekanmbi, Olubayo; Oyewusi, Wuraola Fisayo; Ogundepo, Ezekiel Adebayo (2020). Real-Time Crowdsourcing of Health Data in a Low-Income Country: A Case Study of Human Data Supply on Malaria First-Line Treatment Policy Tracking in Nigeria. Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation co-located with 34th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, BC, Canada (Online), http://ceur-ws.org/Vol-2736/paper3.pdf

• Ogundepo, E., Folorunso, S., Adekanmbi, O., Akinsande, O., Banjo, O., Ogbuju, E., Oladipo, F., Abimbola, O., Oseghale, E., & Babajide, O. (2020). An Exploratory Assessment of a Multidimensional Healthcare and Economic Data on COVID-19 in Nigeria. Data in brief, 106424. doi: https://doi.org/10.1016/j.dib.2020.106424

• Ogundepo, E. A. & Fokoué, E. (2020). An empirical demonstration of the no free lunch theorem. Mathematics for Applications, 8(2), 173–188. doi: https://doi.org/10.13164/ma.2019.11

• Akande, O.K., Olagunju, R.E., Aremu, S.C., & Ogundepo, E.A. (2018). Exploring Factors Influencing of Project Management Success in Public Building Projects in Nigeria. YBL Journal of Built Environment, 6(1), 47-62. doi: https://doi.org/10.2478/jbe-2018-0004