A committed lecturer with over 11 years of experience at leading Nigeria academic institutions teaching students from various social and cultural backgrounds. Possessing excellent administrative, verbal communication and written skills along with constructive and effective teaching methods that promote a stimulating learning environment.
Experience data analyst seeking a position to help technology groups on analytical initiatives to improve operational insight.
Adesina-Adebayo Fatimat Opeyemi. (2021): Using Ensemble Learning to Fix Imbalanced Data Set. International Journal of Advances in Engineering and Management (IJAEM). ISSN: 2395- 5252. Volume 3, Issue 5, 653-672. www.ijaem.net
Adesina Fatimat O., Akande Ademola, Ajala Abiodun L., Kolawole Tolulope, Ogundeji Tajudeen O. (2020): Factors Impacting Students Academic Performance Using R Code programming Language for Analysing the Data. International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) ISSN: 2456-3307. Volume 6(3), 404-409. DOI: https://doi.org/10.32628/CSEIT206399
Olayiwola Olanike G, Akande Ademola, Adesina-Adebayo Fatimat O, Odepidan Kolawole O, Adeniji Johnson A. (2021): Growth and Characterization of Chemically Deposited Iron Sulphide Thin Films. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS) e-ISSN: 2582-5208. Volume 3, 3516-3520. www.irjmets.com
Akande Ademola, Kolawole Tolulope, Adesina Fatimat O., Ogundeji Tajudeen .O., Salau Ismail A., Olapade Julius N. (2020): An overview on Electronic Passport System Using Smart Card Technology. Global Scientific Journal (GSJ) ISSN: 2320-9186. Volume 8(8), 2665-2675. www.globalscientificjournal.com
Akande Ademola, Olapade Julius Niyi, Adesina Fatimat O, Fawole Ayobami O, Akande Motunrayo E. (2020): Polytronics-An Emerging Technology and its Applications. International Journal of Trend in research and Development (IJTRD). (ISSN: 2394-9333). Volume 7(4), 93-99. www.ijtrd.com
I love working with data and the most lovely part of it is pre-processing part which take the 95% of data analysis. The Analysis part and visualization part are most excited when i see the output.