TOCHUKWU AROH
Data Scientist & ML Engineer building production-grade machine learning systems —
from raw data ingestion to deployed APIs, monitored in real time.
Python · R · SQL · PostgreSQL · Docker · FastAPI · MLflow · Shiny
Healthcare · Clinical ML · MLOps
Production ML system predicting patient mortality risk for hospital risk teams,
clinicians, and insurance assessors. Three models trained and compared — Logistic Regression
selected for deployment with 89.5% recall and 0.882 ROC-AUC.
Decision threshold set to 0.3 (clinically conservative) to minimize missed deaths.
Returns risk level, clinical flags, and actionable recommendations per patient.
Python · XGBoost · Logistic Regression · MLflow · FastAPI · Docker · PostgreSQL (3 schemas) · Evidently AI · GitHub Actions CI/CD
NLP · Booking ML · Dashboard
Dual-module platform analyzing 1,920 customer reviews (NLP) and predicting
booking completion from 50,000 booking records (ML). Topic modeling with LDA
revealed delays generate 100% negative sentiment. Live KPI dashboard with 3 interactive tabs.
85.4% recall on booking prediction. FastAPI + Docker deployed.
Python · spaCy · VADER · TextBlob · LDA · XGBoost · MLflow · FastAPI · Plotly Dash · Docker · PostgreSQL
Telecom · MLOps · Production API
End-to-end churn prediction system for telecom customers. Full ETL pipeline loading
7,043 records into PostgreSQL, XGBoost model with 0.84 ROC-AUC,
experiment tracking in MLflow, live FastAPI prediction service, drift monitoring with Evidently AI,
and automated CI/CD with GitHub Actions.
Python · XGBoost · MLflow · FastAPI · Docker · PostgreSQL · Evidently AI · GitHub Actions
R · Behavioral Analytics · Live Deployment
R-based behavioral classification system categorizing 700 mobile users into
5 behavioral classes. Three models trained (Logistic Regression, SVM, Random Forest) with
95.7% accuracy. Deployed as an interactive Shiny web application —
publicly accessible with no setup required.
R · randomForest · SVM · caret · ggplot2 · Shiny · shinydashboard · shinyapps.io
About Me
I'm a Data Scientist and ML Engineer based in Abuja, Nigeria. I build end-to-end production
machine learning systems — not just notebooks. Every project I ship has a database, deployed API,
experiment tracking, drift monitoring, and automated CI/CD.
I work across Python and R, with expertise in supervised learning, NLP,
clinical decision support, and business intelligence. I'm the founder of a data intelligence
consulting practice serving SMEs, and I'm open to remote data science and ML engineering roles.
Core Skills: Python · R · SQL · PostgreSQL · XGBoost · Random Forest · SVM ·
Logistic Regression · spaCy · VADER · LDA · MLflow · FastAPI · Docker · Shiny ·
Plotly Dash · Evidently AI · GitHub Actions · Pandas · scikit-learn · caret · ggplot2