Imeobong Monday — Data Scientist & AI Engineer

About Me

I build intelligent systems that solve real problems.

I'm a Data Scientist and AI Engineer with 3+ years building production-grade ML platforms, agentic AI systems, real-time data pipelines, and BI solutions across fintech, media, telecom, healthcare, real estate, and industrial engineering.

My work spans the full stack — from feature engineering and data mining through to deep learning with PyTorch, LLM orchestration with Claude, OpenAI, and LangGraph, causal ML, and live production deployment. I don't just build models — I build systems that keep working.

I've shipped real-time Kafka pipelines, multi-agent systems with Neo4j and Qdrant, and live products with paying users — all as an independent consultant working with founders and leadership teams worldwide.

Available as a full-time team member, part-time specialist, or contract partner — remotely, anywhere in the world.

💼 Let's Work Together

🎯

End-to-end ownership

Pipelines, models, agents, monitoring, dashboards — full stack, not just one piece.

🤖

Agentic AI & LLM Engineering

Claude API, OpenAI, LangGraph, LangChain, Ollama — from prompt engineering to multi-agent orchestration.

💰

Business-first mindset

Every model tied to a revenue outcome — not just a technical metric.

🌍

Remote-native, globally available

Open to full-time, part-time & contract roles worldwide.

📺

Data Analyst (Contract) · Media Studio

Automated Power BI dashboards. Cut reporting time by 70%.

🏆

10Alytics Hackathon

Fiscal risk models and sovereign debt dashboards.

🏅

IBM ML Professional Certificate

6-course IBM/Coursera programme — Supervised, Unsupervised, Deep Learning & RL. May 2026.

🎓

B.Sc. Statistics · Akwa Ibom State University

Strong statistical foundation + 3 years hands-on production ML & AI engineering.

🏆

IBM Machine Learning Professional

IBM / Coursera · May 2026

🎓

Certified Data Scientist

DataCamp · May 2026

🤖

Claude Code in Action

Anthropic / Coursera · Jun 2026

Problem Domains

Industries & Problem Types

Not a one-trick pony. Real systems built across multiple industries and problem categories.

🏭

Industrial & Engineering

Predictive maintenance, sensor telemetry, equipment failure forecasting, RUL prediction

PyTorchLangGraphNeo4j

🤖

Agentic AI Systems

Multi-agent orchestration, autonomous decision loops, hybrid RAG retrieval, LLM inference pipelines

LangGraphQdrantClaude API

💰

Fintech & Revenue

Churn prediction, revenue at risk, causal uplift modelling, A/B experimentation, subscription analytics

XGBoostscikit-upliftMLflow

⚡

Real-Time Data Systems

Kafka streaming pipelines, WebSocket ingestion, async event processing, low-latency signal detection

KafkaAsyncIOWebSockets

📊

Business Intelligence

Executive dashboards, marketing ROI analysis, cloud cost optimisation, data storytelling

Power BIDAXStreamlit

🔧

MLOps & Deployment

Model drift monitoring, PSI detection, automated retraining, containerised REST APIs, CI/CD

DockerFastAPIMLflow

📡

Trading & Markets

Real-time price signal detection, rule-based alerting, subscription monetisation, live production deployment

WebSocketsPaystackLinux VPS

🌐

NLP & Language AI

Sentiment analysis, structured LLM extraction, Claude & OpenAI APIs, local inference with Ollama

Claude APIOpenAIOllama

Engagement Types

How We Can Work Together

I adapt to what your business needs — dedicated team member, specialist for specific hours, or project-based partner.

💼

Full-Time Role

Dedicated Data Scientist

Join your team full-time — owning data strategy, infrastructure, and delivery end-to-end.

Full ownership of data infrastructure
Long-term ML & AI roadmap execution
Daily collaboration with product & engineering
Remote-first, available worldwide

⏱

Part-Time Role

Embedded Analytics Specialist

Flexible hours — ideal for companies needing senior data science expertise without a full-time hire.

10–25 hours per week
Focused on highest-impact workstreams
Regular standups and async updates
Scales up as your needs grow

📄

Contract / Freelance

Project-Based Delivery

Scoped engagements with clear deliverables — from single dashboards to full AI platforms.

Fixed scope or ongoing retainer
End-to-end delivery & documentation
Fintech, media, telecom, healthcare, industrial
30+ projects delivered, 3+ years experience

Selected Work

Systems I've Built

Production-grade platforms with measurable impact — not toy models.

Featured · Agentic AI

Industrial Agent Telemetry Engine

What it does: Predicts equipment failure before it happens and automatically generates a maintenance work order — no human in the loop.

Autonomous predictive maintenance platform using dual-head PyTorch Bi-LSTM + Attention on NASA turbofan data, routed through a 3-agent LangGraph loop with hybrid RAG (Neo4j + Qdrant).

PyTorchLangGraphNeo4jQdrantFastAPIDockerSQLite

View on GitHub

RUL RMSE 45.6 → 34.4

<2s end-to-end inference

24 sensors monitored

3 LangGraph agents

HOW IT WORKS

① Dual-head PyTorch Bi-LSTM + Attention forecasts RUL and detects anomalies simultaneously.

② 3-agent LangGraph loop routes alerts through Neo4j + Qdrant to retrieve maintenance procedures.

③ PSI drift engine tracks all 24 sensor distributions — flags degradation before predictions fail.

Causal AI · MLOps

CausaLift-Engine

What it does: Tells you who actually responds to a marketing campaign — not just who churns — so budget is never wasted on the wrong customers.

Causal ML platform on Criteo benchmark (2.5M rows) with S/T/X-Learner meta-algorithms, IPTW, and greedy budget optimiser. 3-container Docker deployment.

2.5M row dataset

3 meta-learners

6/6 tests passing

PythonLightGBMscikit-upliftFastAPIStreamlitMLflowDocker

View on GitHub

Real-Time · LLM

Semantic Stream Engine

What it does: Reads live public text and turns it into structured sentiment data in real time — zero per-request API costs using a local LLM.

Real-time NLP pipeline: Hacker News API → Kafka → Ollama (Llama 3.2) → PostgreSQL → Streamlit. Resolved consumer eviction loops from 30–40s LLM inference latency.

100% pipeline stability

Zero API costs

Local LLM inference

PythonKafkaOllamaLlama 3.2AsyncIOPostgreSQLStreamlitDocker

View on GitHub

Live · 2026 – Present

Deriv Market Signal Detection Engine

What it does: A live, monetised trading alert product with real paying subscribers — not a demo.

Real-time WebSocket pipeline detecting price signals across multiple instruments, deployed on Linux VPS with Paystack subscription monetisation.

Live production system

Real paying users

Real-time WebSocket

PythonAsyncIOWebSocketsSQLitePaystackNginxLinux VPS

View on GitHub

More Work

Retail Analytics & Churn Prediction

Airflow · Docker · FastAPI · XGBoost

Airflow ingestion → RFM features → 96–100% churn accuracy → FastAPI → Streamlit. Fully containerised.

→ View on GitHub

GitHub Activity Intelligence Platform

Python · Ollama · Streamlit · scikit-learn

AI scores your commits, clusters repos, and forecasts coding patterns using local LLMs.

→ View on GitHub

Cloud Cost & Resource Utilization

MySQL · Power BI · DAX

Found 70% of cloud spend in 2 categories and surfaced a 20% cost reduction opportunity.

→ View on GitHub

AI-Powered Job Market Analysis

Python · NLP · Power BI

NLP on job postings to extract skills demand, salary trends, and hiring patterns.

→ View on GitHub

Subscription Churn Risk Analytics

BigQuery · Python · Power BI · SQL

BigQuery SQL → ML scoring → executive Power BI dashboard with revenue exposure quantification.

→ View on GitHub

See All Projects

Explore the full portfolio

→ github.com/ImeMonday

How I Work

From Problem to Production

Every engagement follows the same rigorous process — so you always know what's happening and what comes next.

🔍

Discovery

Understand your business, data sources, stakeholders, and the problem you actually need solved.

→

🗺️

Design

Map full architecture and agree success metrics before writing a single line of code.

→

⚙️

Build

Clean, modular, documented code. Built in vertical slices so you always have something working.

→

🚀

Deploy

Production-grade deployment — Docker, CI/CD, documentation, and handover support.

→

📊

Monitor

Models monitored for drift, pipelines for failures — your system stays healthy after launch.

Deep Dives

Case Studies

The full story behind the numbers.

Agentic AI · PyTorch · LangGraph · MLOps

Industrial Agent Telemetry Engine

The Problem

Industrial equipment fails unexpectedly because traditional monitoring only flags problems after they've already happened. There's no system that connects fault detection to the fix automatically.

The Approach

Built an autonomous platform ingesting raw sensor telemetry, predicting cycles remaining with a dual-head PyTorch Bi-LSTM + Attention network, then routing alerts through a 3-agent LangGraph loop. Agents query Neo4j + Qdrant hybrid RAG to retrieve maintenance procedures and check a SQLite parts inventory — producing a structured work order with zero human intervention.

45.6→34.4

RUL RMSE

<2s

Inference Time

Sensors Tracked

The Result

Full pipeline from raw sensor input to structured work order in under 2 seconds. PSI drift engine correctly distinguished stable from drifted distributions across all 24 sensors.

View on GitHub →

Causal ML · MLOps · Budget Optimisation

CausaLift-Engine — Causal AI Platform

The Problem

Standard ML tells you who will churn. That's not enough. If you contact a Sleeping Dog — a customer who churns specifically because you contacted them — you made things worse. Budget was being wasted on the wrong customers.

The Approach

Built a causal ML platform on the Criteo benchmark (2.5M rows) implementing S-Learner, T-Learner, and X-Learner meta-algorithms with IPTW to correct selection bias. Evaluated using Qini coefficient and AUUC — not standard AUC. Deployed as a 3-container Docker system with a CEO budget simulator and MLflow experiment registry.

2.5M

Row Benchmark

Meta-Learners

6/6

Tests Passing

The Result

A system that separates Persuadables (target these), Sleeping Dogs (never contact), Sure Things (save budget), and Lost Causes (skip entirely). Budget allocated exclusively to customers who actually respond to intervention.

View on GitHub →

Technical Stack

What I Work With

Tools I use in production — not just on tutorials.

Core Proficiency

Machine Learning98%

Python95%

SQL & BigQuery92%

LLM Engineering & AI Agents88%

Data Engineering & ETL87%

Causal ML & Experimentation85%

MLOps & Model Monitoring85%

Power BI & Dashboards85%

Cloud — AWS & GCP80%

JavaScript72%

Tech Stack

🐍

Python

🗄️

SQL

🟨

JavaScript

🧠

Claude AI

💬

OpenAI

🔗

LangChain

🕸️

LangGraph

🔦

PyTorch

🤖

sklearn

🌲

XGBoost

💡

LightGBM

🧪

MLflow

🗺️

Neo4j

🔍

Qdrant

🦙

Ollama

⚡

Kafka

🌊

Airflow

🔥

Spark

🐳

Docker

🚀

FastAPI

🐘

PostgreSQL

🔭

BigQuery

📈

Power BI

📊

Streamlit

☁️

AWS

🌐

GCP

🔧

dbt

📦

Git

⚙️

GH Actions

🛡️

Nginx

Languages

PythonSQLJavaScript

LLM & AI

Claude APIOpenAI APILangChainLangGraphOllamaCodexRAGPrompt Engineering

Vector & Graph DB

QdrantNeo4jpgvector

ML & Deep Learning

PyTorchscikit-learnXGBoostLightGBMstatsmodelsMLflowPandasNumPysentence-transformers

Causal & Experiments

Causal MLUplift ModellingIPTWA/B Testingscikit-uplift

Data Engineering

Apache AirflowApache KafkaApache SparkdbtETL PipelinesWebSocketsAsyncIO

Databases

PostgreSQLBigQueryMySQLOracle SQLSQLiteSnowflake

Deployment & MLOps

DockerFastAPIPydantic V2NginxLinux VPSCI/CDGitHub ActionsPSI Drift Detection

BI & Visualisation

Power BIDAXStreamlitLooker StudioMatplotlibSeabornExcel Power Query

Cloud & Infra

AWSGCPGitPaystack APIWeb3 Analytics

Imeobong
Monday

I build intelligent systems that solve real problems.

Industries & Problem Types

How We Can Work Together

Systems I've Built

Industrial Agent Telemetry Engine

CausaLift-Engine

Semantic Stream Engine

Deriv Market Signal Detection Engine

From Problem to Production

Case Studies

Industrial Agent Telemetry Engine

CausaLift-Engine — Causal AI Platform

See Everything I Build

What I Work With

Ready to work together?

ImeobongMonday

I build intelligent systems that solve real problems.

Industries & Problem Types

How We Can Work Together

Systems I've Built

Industrial Agent Telemetry Engine

CausaLift-Engine

Semantic Stream Engine

Deriv Market Signal Detection Engine

From Problem to Production

Case Studies

Industrial Agent Telemetry Engine

CausaLift-Engine — Causal AI Platform

See Everything I Build

What I Work With

Ready to work together?

Imeobong
Monday