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Biostatistics

Location:
Atlanta, GA
Posted:
October 06, 2020

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Resume:

IYANUOLUWA B. AYODELE

******************@*****.*** Atlanta, GA, 30318

404-***-**** https://www.linkedin.com/in/iyanuoluwa-ayodele

EDUCATION

Georgia State University, Atlanta, GA Expected Graduation May 2021

Master of Mathematics, Concentration: Biostatistics GPA: 3.88/4.0

Federal University of Technology, Akure, Nigeria November 2018

Statistics GPA: 3.47/4.0

TECHNICAL SKILLS

Programming: SAS, R, Python, MATLAB Skill: Data Analytics, Data Visualization, Predictive Analysis

Tools and Software: RStudio, SPSS, Microsoft Office (Word, Excel and Power Point, Publisher, Outlook).

RELEVANT COURSEWORK

• Advanced Methodologies in Biostatistics • Monte Carlo Methods • Linear Statistical Analysis

• SAS programming language and Data Analysis • Survival Analysis. • Time Series Analysis

• Applied Multivariate Statistics • Stochastic Process • Experimental Design

• Epidemiology for Public Health • Medical Statistics • Monte Carlo Methods

TECHNICAL EXPERIENCE

Georgia State University, Atlanta, GA August 2019 – Present

Graduate Laboratory Assistant

• Guide undergraduate students as they work independently on their Math Courses

• Answer question students may have relating to their courses

• Offer hands-on learning and one-on-one assistance to students during their breakout sessions

• Assisting students in learning their course materials and answering any question in relation to their attendance

Stanbic IBTC Holdings Plc., Lagos, Nigeria

Tax and Capital Management Intern July 2017-December 2017

• Reviewed and processed Tax clearance certificates.

• Complied documents needed for tax audits.

• Supported in the tax remittance processes.

• Retrieved Tax receipts for Customers of the Bank.

Practical Habitat Limited, Lagos, Nigeria September 2016 - November 2016

Account intern

• Compiled all incomes and expenditures.

• Assisted with several Administrative duties.

• Prepared the documents needed for procurement purposes.

PROJECTS

Longitudinal and Repeated measure Analysis

• Analyzed longitudinal data using Regression Analysis May 2020

• Selected the best covariate model using AIC and BIC criteria

• Fitted a regression model and estimated the mean value for each level of the factors

Experimental Study

• Formulated an experimental study design. November 2019

• Determined the effectiveness of mobile health intervention on vaping cessation

• Used Control and intervention group for comparison purpose

Undergraduate project:

• Time series analysis of reported cases of Road Traffic crashes in Nigeria (1997-2017) October 2018

• Built Auto-Regressive Moving Average models.

• Forecasted for the next five years.

• Implemented Kruskal-Wallis Analysis.

ACTIVITIES, AFFILIATION & CERTIFICATIONS

• Graduate Student Member American Mathematical Society- AMS (Membership code: AYIYXA).

• Python for Everybody – Coursera (Getting started with Python, Python Data structure, Access to web data).



Contact this candidate