Hi👋🏿, I'm Blessed
I'm a product engineer with 3+ years building enterprise-scale systems, predictive models, and statistical solutions that improve operational efficiency. Currently building Sedge and BudgetSmart.
Interested in my research philosophy?
Athletics Performance Outlier Detection
A research framework comparing statistical, machine learning, and temporal methods for detecting anomalous athletic performances across track and field events. The system evaluates the accuracy of each approach using large-scale historical performance data from elite and sub-elite athletes.
Python,
Flask,
PostgreSQL, XGBoost,
Docker, BeautifulSoup, Matplotlib
Telco Customer Churn Analysis
ML-powered customer retention tool delivering 15 actionable strategies with 26.92% churn reduction predictions for telecom companies.
Python,
Scikit-Learn,
Plotly
CoreSentiment
Stock prediction platform analyzing Wikipedia pageview sentiment for tech companies with automated ETL workflows and real-time dashboards.
Python,
Docker,
Airflow,
PostgreSQL,
Streamlit

GDP & Aviation Trends
Economic analysis framework processing four decades of World Bank data, explaining 75.8% variance in U.S. aviation growth patterns.
Python,
Pandas, Matplotlib
Go-ZeptoMail
Native Golang SDK for ZeptoMail's transactional email API with type-safe implementations for Go developers.
Go, Email API

ThreeThirtyOne Consulting
Modern consulting platform connecting clients with strategic solutions, featuring collaborative project management and outcome tracking.
VueJS,
TailwindCSS