About Me
I am a 4th-year PhD candidate in the Statistics program at the University of Michigan, Ann Arbor. I come from Mpraeso, a beautiful small town in the Okwahu plains in the eastern region of Ghana. I obtained my MS degree in Statistics & Data Science at the University of Nevada, Reno. Before that, I received my BS in Actuarial Science from Kwame Nkrumah University of Science and Technology.
I am working under the supervision of Prof. Kerby Shedden, currently focusing on using flexible, non-parametric methods to study the full conditional distribution of a response variable, especially in complex and high-dimensional data scenarios.
When I have some time to spare, I enjoy listening to music, spending time with my friends and family and watching soccer (I’m a staunch fan of Manchester United).
- Statistical Machine Learning
- Distributional Learning (Quantile and Expectile Regression)
- Non and Semi-Parametric Regression
- High-Dimensional Statistics
- Computational Statistics and Optimization
- Causal Inference
- Longitudinal Data Analysis
- Survival Analysis
PhD in Statistics, 2026 (Expected)
University of Michigan
MS in Statistics & Data Science, 2021
University of Nevada, Reno
BS in Actuarial Science, 2017
Kwame Nkrumah University of Science & Tech.
Teaching
Graduate Student Instructor, University of Michigan, Ann Arbor
- STATS 280 - Honors Introduction to Statistics & Data Analysis (~ 40 students) || Winter 2025 & Fall 2024
- STATS 401 - Applied Statistical Methods II (UG Level Regression and ANOVA) || Winter 2024 & Fall 2023
- STATS 513 - Regression and Data Analysis (Graduate Level ~ 51 students) || Winter 2023
- STATS 501 - Applied Statistics II (GLMs, Mixed Models & Semi-Parametric Models) || Winter 2023
- STATS 306 - Introduction to Statistical Computing (∼40 students) || Winter & Fall 2022
- STATS 406 - Computational Methods in Statistics and Data Science (∼75 students) || Fall 2021
Graduate Teaching Assistant, University of Nevada, Reno
- MATH 127 - Pre-Calculus II (∼70 students) || Spring 2021
- MATH 181 - Calculus I (∼90 students) || Fall 2020
- MATH 126 - Pre-Calculus I (∼140 students) || Fall 2019
Teaching Assistant, University of Ghana
- STAT 224 - Introductory Probability II (∼60 students) || Spring 2018
- STAT 222 - Data Analysis I (∼95 students) || Spring 2018
- STAT 221 - Introductory Probability I (∼60 students) || Fall 2017
- ACTU 409 - Introduction to Actuarial Mathematics (∼40 students) || Fall 2017
Working Experience
Casualty Actuarial Society P&C training in:
- Ratemaking
- Reserving
- Predictive Modeling
- Data Visualization
- Performed Territorial Analysis on claim frequencies using Spatially Constrained Clustering Algorithms and Generalized Additive Models to re-cluster rating territories for refining pricing models.
- Built Loss Development Models to estimate future losses using Elastic-Net Poisson GLM.
- Built Pure Premium models using GLMs and Zero-Inflated Models to predict future loss costs.
- Taught Cambridge O and A Level Mathematics to prepare students for the IGCSE exams.
- Rated distinction in teaching within first 3 months into the job.
Honors & Awards
Software
Reports & Course Projects
Service & Extra-curricular
Contact
- Saturday 10:00 to 12:00
- Book an appointment
- LinkedIn Profile