Hi👋🏿, I'm Blessed

Product engineer focused on intelligent data systems — combining distributed systems, ML, and statistical modeling to solve high-stakes analytical problems. I work across Go (systems) and Python (modeling); my current work focuses on sports performance anomaly detection (research) and Sedge, a data intelligence platform.
Interested in my research philosophy?

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Athletics Performance Outlier Detection

Live

Research framework comparing statistical, ML, and temporal methods to detect anomalous athletic performances across track & field events (between 2010 and 2025). The system evaluates the accuracy of each approach using large-scale historical performance data from elite and sub-elite athletes.

Tool Image Python, Tool Image Flask, Tool Image PostgreSQL, Tool Image Docker, Tool Image HTMX, Tool Image Ansible

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Telco Customer Churn Analysis

GitHub

ML-powered customer retention tool delivering 15 actionable strategies with 26.92% churn reduction predictions for telecom companies.

Tool Image Python, Tool Image Scikit-Learn, Tool Image Plotly

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CoreSentiment

GitHub

Stock prediction platform analyzing Wikipedia pageview sentiment for tech companies with automated ETL workflows and real-time dashboards.

Tool Image Python, Tool Image Docker, Tool Image Airflow, Tool Image PostgreSQL, Tool Image Streamlit

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GDP & Aviation Trends

GitHub

Economic analysis framework processing four decades of World Bank data, explaining 75.8% variance in U.S. aviation growth patterns.

Tool Image Python, Tool Image Pandas

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Go-ZeptoMail

GitHub

Native Golang SDK for ZeptoMail's transactional email API with type-safe implementations for Go developers.

Tool Image Go

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ThreeThirtyOne Consulting

Live

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

Tool Image VueJS, Tool Image TailwindCSS