Data Analyst Pivoting to Data Science & ML
Bridging 3+ years of data analysis, SQL/Python analytics, and Web3 research with machine learning, anomaly detection, and predictive modeling.
Results-driven Data Scientist and Researcher (with 3+ years in Data Analysis at Flipside Crypto & MetricsDAO). Specializing in exploratory data analysis (EDA), predictive modeling, anomaly detection (MEV/sensor analytics), and database-grounded AI tools. Recently advanced data science and statistical modeling through the ALX Data Science Program.
Featured Projects & Pipelines
Machine learning models, exploratory data pipelines, Web3 analytics engines, and database-grounded AI tools.
Personal Fitness Tracker
Sensor-Based Physical Activity Classification & Motion Pipeline
A data science processing pipeline and predictive modeling framework to classify physical exercises and track movement patterns using raw accelerometer and gyroscope sensor data from wearable devices.
- •Multi-frequency sensor data alignment (Accelerometer at 12.5Hz, Gyroscope at 25Hz)
- •Time & Frequency domain feature extraction using Fast Fourier Transform (FFT)
SME Biz Analyst
Mobile-First Accounting & Grounded AI Financial Intelligence
An audit-proof mobile-first accounting and business intelligence application for small businesses in Nigeria. Combines dynamic transaction ledgering, automated night-end Telegram financial PDF reports, and a non-hallucinating database-grounded AI analyst.
- •Grounded AI assistant using PydanticAI to execute structured database queries over business tables (zero-hallucination finance)
- •Hybrid CRUD Architecture: Frontend directly queries Supabase with Row Level Security, keeping backend footprint lightweight
Pharos Developer Onboarder
Agentic Skill & Developer Toolkit for Pharos Network
An interactive agent-driven onboarding assistant and developer toolkit fast-tracking integration with Pharos Network (a parallel-execution blockchain featuring ultra-high throughput and sub-second finality).
- •System Diagnostics & Environment Scanner for Node.js, npm, yarn, git, and Foundry
- •Multi-toolchain scaffolding templates for both Foundry and Hardhat workflows
Nexus-Sentry V2
AI-Augmented DeFi Execution Intelligence Platform
A cloud-native execution firewall built natively for the X Layer DeFi ecosystem. Intercepts trade intents, executes live multi-path routing simulations, and leverages LLM reasoning to rewrite transactions into capital-efficient paths to prevent slippage and capital loss.
- •Real-time execution firewall bridging user intent and on-chain execution
- •Multi-path routing evaluation: Direct, TWAP Split, and CEX-DEX loops
Zcash Explorer
Privacy-First Hybrid Blockchain Intelligence Platform
A next-generation blockchain explorer built for the Zcash Data & Analytics hackathon track. Bridges public analytical transparency with zero-knowledge shielded transaction privacy via a decoupled web and local desktop architecture.
- •Decoupled Hybrid Architecture: Public data rendered via Next.js web app, shielded Zcash decryption isolated to local Rust desktop app
- •Interactive money flow graph network rendered via React Flow
Essays & Publications
Deep dives into crypto-economics, stablecoin yield moats, MLOps, regression math, and software architecture.
Revenue Defensibility for Stablecoins
Crypto-Economics, DeFi Market Microstructure, Product Strategy
Analyzes competitive landscapes and long-term business viability of stablecoin protocols. Breaks down how issuers survive commoditization and build defensible yield revenue models by applying classical economic moat frameworks to decentralized networks.
Using Git in Antigravity IDE
MLOps, Version Control, Model Deployment, Developer Workflows
Explores developer experience and version control patterns tailored for the modern machine learning lifecycle. Focuses on isolating, debugging, and maintaining rigorous version history when transitioning models into cloud IDE runtime environments.
Introduction to Antigravity IDE
Software Engineering, Development Environments, Cloud Orchestration
Introduces core architecture and setup configurations of cloud-native development environments. Focuses on easing environmental initialization friction and providing data science teams with optimized compute clusters.
A Beginner's Guide to Pandas Library
Data Science, Data Manipulation, Data Engineering
A practical breakdown of pandas for tabular data manipulation in Python. Emphasizes developing structural intuition for memory-efficient data cleaning, series evaluation, and indexing over raw flat files.
A Beginner's Guide to FOR Loop in Python
Python Programming, Control Flow, Algorithms
Deconstructs iterative logic patterns using Python for loops. Covers sequence iteration, dictionary lookups, and algorithmic repetition that drives data processing scripts.
A Crash Course in Object Oriented Programming (OOP) in Python
Software Design, OOP, Python Architecture
Focuses on transitioning from linear scripting to modular, scalable Object-Oriented Programming (OOP) patterns in Python. Examines class blueprints, state encapsulation, and inheritance trees.
Introduction to Scikit-Learn Library
Machine Learning, Scikit-Learn, Predictive Analytics
Analyzes scikit-learn as the foundational toolkit for classical machine learning. Details standard API designs, data preprocessing estimators, and pipeline hygiene.
Decoding the Data: Mastering Multiple Linear Regression
Applied Statistics, Predictive Modeling, Regression
Details the statistical math and practical application of Multiple Linear Regression. Explores weight relationships between multiple independent features and a target variable.
Machine Learning Income and Happiness Analysis
Exploratory Data Analysis, Data Storytelling, Applied ML
A case study using exploratory data analysis and regression primitives to evaluate correlation between socioeconomic income metrics and behavioral happiness outcomes.
Model Accuracy & Performance
Model Validation, MLOps, Statistical Evaluation
Breaks down evaluation metrics for predictive frameworks, exploring how to select validation metrics (MSE, RMSE, R-squared) that align with real business targets rather than raw accuracy.
Multiple Linear Regression: Matrix Math & Vectorization
Linear Algebra, Optimization, Core Algorithms
Focuses on building out matrix math, gradient descent calculations, and vector tracking equations behind multi-feature regression models.
Linear Regression: Supervised Learning Primitives
Supervised Learning, Parametric Modeling, Data Foundations
Acts as an entry point to supervised learning, tracking how simple linear models translate single feature patterns into continuous numeric predictions.
Least Squares Regression: Calculus & Loss Minimization
Mathematical Optimization, Loss Functions, Calculus
A mathematical deep dive isolating Ordinary Least Squares (OLS) as an optimization criterion. Details the exact derivative process used to minimize squared residuals.
Introduction to Predictive Modeling Lifecycles
Predictive Engineering, ML Lifecycles, Data Strategy
Tracks the full lifecycle of predictive engineering, mapping projects from initial raw data ingestion through feature curation to deployment.
Machine Learning Paradigms: Supervised, Unsupervised & RL
Artificial Intelligence, Core Paradigms, Systems Overview
The foundational post of the portfolio series, mapping out the machine learning landscape. Differentiates when to deploy labeled predictive systems vs unlabeled clustering structures.
Professional Experience & Education
3+ years in data analytics and Web3 research, continuously evolving into advanced data science and machine learning.
Work Experience
Data Analyst / Researcher
Nov 2023 – June 2025Flipside Crypto (Remote)
Performed deep-dive exploratory data analysis (EDA) using SQL and Python to identify protocol performance trends and inform strategic decision-making.
- Engineered comparative analysis frameworks for Web3 governance systems and EIP-4844 L2 gas fee dynamics
- Investigated MEV bot anomaly detection on Base L2 using statistical fee distribution models
- Managed automated campaign performance dashboards monitoring real-time operational KPIs
Web3 Data Analyst
Aug 2022 – Nov 2023MetricsDAO (Remote)
Transformed raw multi-chain data (Solana, Flow, Terra2) into actionable analytical insights and post-collapse ecosystem metrics.
- Built comprehensive KPI dashboards for ecosystem recovery tracking
- Facilitated technical protocol data cleaning and pipeline integrations for MetricsDAO platforms
Blockchain Data Analyst Intern
June 2022 – Aug 2022Flipside Crypto (Remote)
Collected and transformed DeFi data streams into real-time analytical dashboards.
- Built custom ecosystem analytics dashboard for Sweat (NEAR)
Education & Specialized Training
ALX Data Science Program
Jan 2025 – April 2026ALX Africa
Focus: Machine Learning, Statistical Analysis, Scikit-learn, Feature Engineering, Signal Processing & Predictive Modeling.
ALX Data Analytics Program
July 2024 – Dec 2024ALX Africa
Focus: SQL, Python (Pandas/NumPy), Visualization (Power BI), Exploratory Data Analysis. Final Project: Maji Dogo Water Crisis Analysis.
Bachelor of Engineering (B.Eng.), Civil Engineering
2017 – 2023Federal University of Technology - Minna
Coursework in Mathematics, Statistics, Numerical Analysis, and Python Programming.
Core Engineering Matrix
A comprehensive overview of frameworks, languages, cryptographic tools, and predictive modeling libraries.