$ whoami
Portrait of Moses Odeh'Ule Udah
OdehUle
Data Analyst
focus  end-to-end analytics — cleaning, EDA, dashboards, documentation
stack  Python · pandas · Power BI · SQL
status  open to data analyst roles

I build complete analytics projects — from messy raw data to interactive dashboards — and document the reasoning behind every finding, not just the finding itself.

Projects

executive-overview.png
Power BI Executive Overview page: total GMV, customer base, churn AUC, and revenue-at-risk by segment

E-Commerce Retention, Churn & Market Basket Intelligence

UCI Online Retail II transactions: cohort retention analysis, RFM segmentation, ML-based churn prediction (Logistic Regression vs Random Forest), and Apriori market basket cross-sell mining, delivered as a 4-page Power BI dashboard.

live
customers5,878
transactions805,549
churn_auc0.810 (Random Forest)
basket_rules92 (max lift 33.32x)
python scikit-learn mlxtend power-bi
preview.png
Placeholder tile — swap in a screenshot of the USA.gov clickstream Power BI dashboard

USA.gov Clickstream Analytics

Bitly / 1.USA.gov click data: Python EDA plus an interactive Power BI dashboard tracking time zones and platform usage.

live
records3,560
top_time_zoneAmerica/New_York
windows_share63.1%
python pandas power-bi seaborn
preview.png
Placeholder tile — swap in a screenshot of the MovieLens age-group analysis

MovieLens Age-Group Viewing Behavior

1M ratings across four age groups: genre preference, seasonality, engagement intensity, significance testing, and a simple item-based recommender.

live
users6,040
ratings1,000,209
age_groupsChild · Youth · Adult · Older
python scipy scikit-learn collaborative-filtering
preview.png
Placeholder tile — swap in a screenshot of the US Baby Names Power BI dashboard

US Baby Names: Naming Trends & Structure

15 years of SSA naming data: diversity index, gender-neutral naming shifts, trend velocity, and fuzzy-matched name-family clustering.

live
rows488,343
unique_names61,153
years2011–2025
python scipy rapidfuzz power-bi

About

Languages

Python, SQL, DAX

Libraries

pandas, numpy, scipy, scikit-learn, rapidfuzz, seaborn, matplotlib

Tools

Power BI, Jupyter, Git / GitHub

Approach

Honest, caveat-forward writeups!