Turning raw data into rigorous, interpretable insights —
stochastic modeling, econometrics, and time series
applied to real Nigerian datasets.
I'm Abdulrahman Sanni, a final-year Statistics student at the University of Abuja.
My academic focus spans probability distributions, stochastic modeling, and statistical frameworks
that underlie real-world decision-making — particularly in Nigerian economic contexts.
My final year project investigates job creation and separation dynamics in Nigerian businesses,
drawing on the 2024 NBS Job Creation Survey to extract policy-relevant insights from one of Nigeria's
most comprehensive labour market datasets.
"Statistics is not about numbers — it's about making good decisions under uncertainty."
A rigorous comparative study using the 2024 NBS Job Creation Survey. Examines employment generation and job loss patterns across Nigerian business sectors, applying econometric and inferential statistical methods to surface policy-relevant insights from one of Nigeria's most comprehensive labour datasets.
Applied ARMA(p,q) processes, Yule-Walker equations, and Levinson-Durbin recursion for AR(2) ACF/PACF estimation. Seasonal decomposition and stationarity testing included.
Modeled Markov chain ergodicity, renewal theory, M/M/S queuing systems, and birth-death processes. Simulations and analytical solutions implemented in base R.
Simple and multiple linear regression, curve fitting, one-way and two-way ANOVA, and chi-square tests — all with full hypothesis testing frameworks and R output.
Built through four years of rigorous coursework, real data projects, and hands-on statistical computing in base R.
Open to data analysis roles, research collaborations, freelance statistical consulting, and graduate opportunities. Don't hesitate to reach out.
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