Ricks

Data Analyst | Statistician | Web3 Community & Regional Lead

About Me

Ricks profile photo

I’m Ebubechukwu "Ricks" Okolie, a Data Analyst and Statistics graduate from the University of Lagos (CGPA: 4.41/5.0, Top 7% of class). I specialize in statistical anlysis, data cleaning, and visualization using Python, SQL, R, Excel, Power BI, and SPSS. Alongside quantitative data analysis, I bring extensive experience in Web3 ecosystem growth, tracking regional metrics, managing online communities, and speaking at physical community onboarding events.

Technical & Core Skills

Experience & Leadership

Community Ambassador (EMEA) β€” Flagship

Nov 2025 – Mar 2026

Tracked regional growth data and produced bi-weekly analytical metrics to evaluate community trajectories. Delivered structured reporting insights directly to global leadership to refine regional strategies.

Community Onboarding Speaker & Organizer β€” Initia Project

March 2025

Co-organized and spoke at a physical community event dedicated to onboarding new participants into the crypto ecosystem and Initia network.

Community Moderator β€” Sithswap (StarkNet Blockchain)

Mar 2022 – Jun 2024

Monitored data integrity across community channels, synthesized qualitative user feedback trends, and delivered structured insights to the core dev team for platform updates.

Sports Secretary β€” Department of Statistics, UNILAG

Sep 2024 – Sep 2025

Managed event logistics, volunteers, and resource allocation using structured planning to drive multi-stakeholder participation and improve overall event outcomes.

Featured Projects

Ricks speaking at Initia Event

Initia Community Onboarding

Presented to a live audience to teach newcomers about Web3 concepts, decentralized networks, and ecosystem opportunities.

Hire-Her Project

Hire-Her Data Analysis Platform

ALX team project empowering women in job searches. Handled data cleaning, transformation, and SQL queries on demographic datasets to build interactive Power BI dashboards.

View Project Details
Bicycle Commuting Research

Campus Transit Adoption Research

Academic research project analyzing student transport adoption using survey methodology, SPSS, multi-variable regression modeling, and statistical evaluation.

View Research Report
BasedRick Project

BasedRick Platform & Open-Source App

A modern Web3 application built with Next.js and TypeScript, incorporating automated bot workflows for streamlined builds, automated contributions, and deployment management.

Live App | View on GitHub