Bachelor of Technology, Statistics (2014-2019) 

Ladoke Akintola University of Technology – Ogbomoso, oyo state.

Relevant Coursework: Advanced Data Analytics, Decision Methods and Modeling, Data Management, Operation research, Biometry, Demography, Econometrics, Predictive Analytics, Presentation and Visualization of Data, Project Management, Quality control, Anova, Regression, Correlation, Probability, Time Analysis, Statistics

Over the years, I have being working as a Data Analyst freelancer handling research projects, assignments and all kind of Statistical Analysis (Data manipulation and Analysis i.e. Regression analysis, Survival analysis, Hierarchical Clustering, Apriori Algorithm, Euclidean distance, Qualitative analysis, K-Means Clustering, K-Nearest Neighbors, Simple Linear, Regression, Multiple Linear Regression, Simple Regression analysis, Survival analysis Cluster of clustering analysis, Apriori Algorithm, Euclidean distance, Qualitative analysis, K-Means Clustering, K-Nearest Neighbors, Simple Linear Regression, Multiple Linear Regression, Logistic Regression…) both online and offline.

During my college days, my internship was done at Laboratory for Statistical Analysis(LISA), Colorado University, University of Ibadan West-Africa chapter. And I’m a certified member of LISA team University of Ibadan Chapter, International institute of Statistics (ISI), and International Association for Statistical Computing(IASC).

I also tutor interested students in my department under the group created by my lecturer, Senior colleague and I, in R, R studio, SPSS and Excel called Data Lingual.

• R STUDIO (3 years experience)
• R packages( 3 years experience)
• PYTHON Enthusiast
• EXCEL (4 years experience)
• SPSS (5 years experience)
• HTML (1 years experience)
• XHTML (1 years experience)
• CSS (1 years experience)
• POWERPOINT (3 years experience)
• Statistical Analysis (Regression analysis,
• Survival analysis,
• Hierarchical Clustering,
• Apriori Algorithm,
• Euclidean distance,
• Qualitative analysis,
•  K-Means Clustering,
•  K-Nearest Neighbors,
• Simple Linear Regression,
• Multiple Linear Regression’
• Regression analysis
• Survival analysis
• Cluster of clustering analysis
• Apriori Algorithm
• Euclidean distance,
• Qualitative analysis
• K-Means Clustering
• K-Nearest Neighbors
• Simple Linear Regression
• Multiple Linear Regression,
• Logistic Regression)

Business Development, data analysis, Team Management

GDG, IASC, LISA UI

English