I am Emmanuel, an ambitious graduate of Statistics from LAUTCH in Ogbomosho, Nigeria. Furthering my education, I obtained an M.Tech from the prestigious FUTA, Nigeria. My passion lies in developing machine learning models to tackle real-life problems, and I am committed to making a difference in the field.
Currently, I held the position of Lead Data Scientist at Pneuma Analytic Consult, a prominent organization specializing in Business Intelligence and Analytics using the dynamic R Programming Language. This role allowed me to apply my extensive knowledge and skills to unlock valuable insights and help organizations solve complex business problems.
With a vast range of experience in both academic and business data, I excel in building Econometric Simulation Models and innovative Business Intelligence Programs. These tools empower companies to overcome their most pressing challenges and make informed decisions for success.
Constantly driven by the pursuit of knowledge, I actively seek opportunities for growth. Attending conferences and participating in various training programs, I ensure that I stay at the forefront of the rapidly evolving field of data science. I also enjoy sharing my expertise as a facilitator, conducting impactful R Programming workshops for both academic and business audiences, equipping them with the skills needed for enhanced productivity.
Notably, I have interned at Novartis Pharmaceuticals on two occasions, collaborating with esteemed researchers to apply statistical principles in pharmaceutical settings. These experiences have enriched my understanding and allowed me to contribute meaningfully to groundbreaking advancements.
Additionally, I serve as an assistant lecturer in the Department of Statistics at LAUTECH, Ogbomoso. This role enables me to train and mentor the next generation of data scientists, making a positive impact on their professional development and productivity.
- Lukman, A. F., Adewuyi, E.,Oladejo, N., &Olukayode, A. (2019). Modified Almost Unbiased Two-Parameter Estimator in linear regression model. IOP Conference Series: Materials Science and Engineering, 640, 12119. https://doi.org/10.1088/1757-899x/640/1/012119
- Lukman, A. F., Ayinde, K., Kibria, B. M. G., &Adewuyi, E. T. (2020). Modified ridge-type estimator for the gamma regression model. Communications in Statistics - Simulation and Computation, 1–15. https://doi.org/10.1080/03610918.2020.1752720
- Owolabi, A T; Adewuyi, E T; Idowu, J I; Oladapo, O J; Amakata, J G (2020). Spatial Pattern and Determinants of Age at First Sex in Nigeria: A Geoadditive Model Approach. Gender &Behaviour; Ile-Ife Vol. 18, Iss. 2, (Jun 2020): 15559-15569.
- Lukman, A. F., Adewuyi, E. T., Clement, O. A., &Ayinde, K. (2020). A Modified Ridge-Type Logistic Estimator. Iranian Journal of Science and Technology, Transactions A: Science, 44(2), 437–443. https://doi.org/10.1007/s40995-020-00845-z
- Lukman, A.F., Adewuyi, E., Månsson, K. et al. A new estimator for the multicollinear Poisson regression model: simulation and application. Sci Rep 11, 3732 (2021). https://doi.org/10.1038/s41598-021-82582-w
- AbiolaOwolabi, KayodeAyinde, TaiwoAdejumo, WakeelKasali, Emmanuel Adewuyi (2022).Comparative Analysis of the Implication of Periods Before and During Vaccination of COVID-19 Infection in Some Regional Leading African Countries. Journal of the Nigerian Society of Physical Sciences. 4 (2022) 310–317.
- Ayinde, K., Adewuyi, E. T. and Adewale, F. L. (2022), Alternative ridge parameters in linearmodel, NicelBilimlerDergisi, 4(1), 22-46. doi:10.51541/nicel.1075225.
- Lukman, A.F.; Kibria, B.M.G.; Nziku, C.K.; Amin, M.; Adewuyi, E.T.; Farghali, R. K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model. Mathematics 2023, 11, 340. https://doi.org/10.3390/math11020340