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ikebude/README.md
Precious Ikebude β€” PI Mark

Precious Ikebude β€” BI Scientist building AI/ML systems

BI Β· Data Science Β· Machine Learning Β· LLM Apps Β· MLOps Β· Data Engineering

Portfolio Hub Β· Showcase Deck (PDF) Β· Showcase Deck (PPTX) Β· precious.ikebude@outlook.com


About Me

I bridge executive Business Intelligence (Power BI, SQL, governed KPI semantic layers, financial and risk reporting) and production AI/ML systems (calibrated fraud scoring, credit-risk scorecards, read-only NL-to-SQL agents, and containerised MLOps pipelines on FastAPI, Airflow, MLflow, and Docker).

With a background in Economics (B.Sc., 2:1) and 3+ years delivering analytics, data governance, and machine learning systems across fintech, banking, and enterprise consulting, I focus on what happens after the notebook: reproducible pipelines, calibrated probability outputs with decision thresholds tied to business cost, and interfaces that risk and operations teams actually use.

πŸ“„ Solutions Showcase Deck (2025–2026): Browse the 26-slide architecture & product walkthrough β€” Download PDF | Download PowerPoint (.pptx)


Featured Personal Open-Source Products

Product Repository Highlights & Verified Metrics Stack
Moniguard v2
PoD & Mobile-Money Fraud Scoring
ikebude/MLOps-Fraud-Detection Fraud scorer (0–1000 score + reason codes) on 60,000 synthetic Nigerian pay-on-delivery transactions with a strict 70/30 chronological split. PR-AUC 0.877 (95% CI 0.845–0.905), ROC-AUC 0.943, recall 0.892 at a 5% alert rate, 47.9 ms p95 FastAPI latency. Python, XGBoost, Isolation Forest, FastAPI, MLflow, Airflow, Docker
Lolo's Ledger (FXLedger)
Trading Journal, Risk Engine & Analytics
ikebude/FX-Trading-Journal Β· ikebude/AI-Trading-Intelligence Shipped desktop journal (521 unit tests + 25 Playwright E2E tests passing) plus a Python risk and expectancy engine with behavioural tilt detection. Personal-edge attribution is gated until 100+ closed trades and never produces buy/sell signals. TypeScript, React, Electron, NestJS, Playwright, Python
BI Operations Agent
Governed NL-to-SQL & KPI Anomaly Copilot
ikebude/AIMLOps-BI-Operations-Agent In development. Read-only NL-to-SQL over a governed semantic layer with KPI anomaly alerts. Benchmarks will be published once built. Python, FastAPI, DuckDB
LoanLens & Customer Intelligence
Credit Scorecard & Churn/CLV
ikebude/ai-ml-data-engineering LoanLens: leak-free default model on 55,518 closed Prosper loans, tested on future loans: ROC-AUC 0.707, KS 0.305, with an approval-policy simulator. Customer Intelligence: churn PR-AUC 0.841 / ROC-AUC 0.933 on 7,043 customers, RFM segments and a weekly revenue-at-risk call list. Python, Scikit-learn, Streamlit
AIOps Expense Tracker
NGN-First Expense Intelligence
ikebude/AIOps_Expense_Tracker In development. Rebuilding the Code with Mosh course starter with NGN bank-CSV import and an ML categoriser. Python, FastAPI, React

Industry Solutions (3Consulting Limited β€” Case Studies)

Company property of 3Consulting Limited. Presented publicly as architectural case studies with live links and stack documentation β€” no proprietary source code is hosted in public repositories.

Solution Live Production Link Case Study Architecture & My Contributions
SafeData
NDPA / GDPR Data Retention & Disposal Platform
safedata.3consult-ng.com View Case Study Multi-tenant data-retention enforcement, Records of Processing Activities (RoPA), DSAR & consent-withdrawal disposal workflows, immutable SHA-256 audit hash-chaining, and automated PII discovery across enterprise data stores.
FraudGuard
Real-Time Transaction & Login Fraud Scoring
fraudguard.3consult-ng.com View Case Study Hybrid rule + ML ensemble (0–1000 calibrated score + reason codes) for payment, PoD, and account-takeover events, velocity feature store, analyst triage & SAR case queue, and PSI model-drift monitoring.
Africa Stablecoin Intelligence
Pan-African Stablecoin & Regulatory Tracker
africastablecoinintelligence.com View Case Study Live market-corridor analytics, USDT/USDC/cNGN liquidity & FX premium pipelines, 54-country central-bank regulatory intelligence tracker, and editorial research portal.

Portfolio Hub β€” ikebude/ai-ml-data-engineering

All 11 Machine Learning, Statistical Modelling & Business Intelligence projects live in the unified monorepo (upgrades to the remaining projects are in progress):

Machine Learning & Statistical Modelling (6 Projects)

  1. Prosper Loan Credit Risk (prosper-loan-risk) β€” Out-of-time default scorecard and policy simulator (ROC-AUC 0.707, KS 0.305 on 13,880 future loans).
  2. Waze User Churn Prediction (waze-churn-prediction) β€” Behavioural churn analysis on 14,999 users.
  3. TLC NYC Cab Fare Intelligence (tlc-cab-fare-intelligence) β€” NYC Yellow Taxi trip analysis and fare modelling.
  4. Customer Intelligence (customer-retention) β€” Calibrated churn (PR-AUC 0.841), RFM segmentation and a CLV backtest.
  5. S&P 500 Financial Clustering (sp500-analysis) β€” PCA dimensionality reduction + K-Means regime clustering across S&P 500 fundamentals, valuation multiples, and volatility profiles.
  6. Cars Model Analysis (cars-model-analysis) β€” Vehicle specification and pricing analysis.

Analytics, SQL & Business Intelligence (5 Projects)

  1. CRM B2B Sales Funnel Analysis (crm-sales-analysis) β€” Pipeline stage leakage diagnostics, rep win-rate quartiles, and cycle-time attribution across 8,800 B2B opportunities.
  2. Executive Power BI Dashboards (power-bi-dashboards) β€” Star-schema data models, DAX time-intelligence measures, and row-level security (RLS) across Finance, HR, and Sales packs.
  3. Enterprise BI & Relational Analytics (bi-analytics) β€” Data quality remediation framework, customer wealth segmentation, and supply-chain margin diagnostics.
  4. Global Data Analytics Suite (global-data-analytics) β€” Cross-market cohort retention, content catalogue clustering, and macroeconomic panel studies.
  5. Production SQL Querying Patterns (sql-querying) β€” Advanced CTEs, window functions, cohort retention queries, and revenue waterfall reconciliations.

Core Technical Stack

  • Business Intelligence & Analytics: Power BI (DAX, Power Query M, Star Schema, Row-Level Security), Tableau, Advanced Excel (VBA, Pivot Models), KPI Semantic Layers, Executive Storytelling
  • Machine Learning & Data Science: Python (scikit-learn, LightGBM, XGBoost, statsmodels, SHAP, pandas, numpy), Cost-Sensitive Imbalanced Classification, Probability Calibration, Credit Scorecards (WoE/IV), RFM & BG/NBD CLV, Time-Series Forecasting
  • AI Agents & MLOps: FastAPI, MLflow, Apache Airflow, NL-to-SQL Guardrails, DuckDB, SQLAlchemy, Docker & Docker Compose, GitHub Actions CI/CD, Azure Container Registry, Model Drift Monitoring (PSI / KS / MAD)
  • Databases & Engineering: PostgreSQL, MS SQL Server, SQLite, DuckDB, TypeScript / React / Electron / NestJS

Education & Credentials

  • B.Sc. Economics β€” University of Nigeria, Nsukka (Second Class Upper Division / 2:1, Oct 2018 – Aug 2023)
  • Google Advanced Data Analytics Professional Certificate β€” Coursera (Apr 2025)
  • Microsoft Certified: Azure AI Engineer Associate β€” (In View, 2026)
  • Managerial Economics & Business Analysis Specialization β€” Gies College of Business, UIUC (Jun 2023)

Connect With Me

Pinned Loading

  1. MLOps-Fraud-Detection MLOps-Fraud-Detection Public

    this project involved designing and deploying a production-ready fraud detection system for financial transactions, integrating predictive analytics with modern MLOps practices to ensure reliabilit…

    Python 1

  2. TLC-CabFare-Intelligence TLC-CabFare-Intelligence Public

    Data-driven analysis of NYC Yellow Taxi (2017) trip records using Python & Tableau β€” uncovering fare patterns, trip behaviors, and demand trends to optimize urban mobility and revenue insights.

    Jupyter Notebook 2

  3. Waze-Churn-Prediction Waze-Churn-Prediction Public

    EDA and predictive modeling on Waze user data to uncover churn drivers and build actionable retention strategies.

    Jupyter Notebook 2

  4. S-P-500-ED-Analysis S-P-500-ED-Analysis Public

    πŸ“Š Exploratory Data Analysis of S&P 500 companies using SQL & Python. Uncover insights into sector distributions, financial metrics, and geographic trends within the U.S. stock market.

    Jupyter Notebook 2

  5. Power-BI-DashBoard-Projects Power-BI-DashBoard-Projects Public

    Creating Interactive dashboards and KPI to understand data.

    Python 3 1

  6. Quering-Data-with-SQL Quering-Data-with-SQL Public

    2