Years Experience
ML Projects
Featured Projects
Production Focus
Hi! I'm Israel Igietsemhe, a Lead Data Scientist with over seven years of experience building production-ready machine learning systems and AI solutions. I specialize in end-to-end ML engineering, from model development to deployment, with expertise in MLOps, agentic AI, and cloud infrastructure.
My work spans multiple domains including supply chain optimization, healthcare analytics, recommender systems, and natural language processing. I'm passionate about creating scalable, maintainable ML systems that solve real-world business challenges. Currently, I lead data science initiatives at KetteQ, a SaaS company focused on supply chain optimization, where I develop and deploy forecasting models that drive operational efficiency.
Beyond traditional ML, I'm deeply involved in cutting-edge AI technologies including agentic AI systems, RAG (Retrieval-Augmented Generation) architectures, and multi-agent orchestration. I combine strong technical skills in Python, cloud platforms (Azure, GCP), and modern MLOps tools (MLflow, DVC, Airflow) with a focus on production deployment and infrastructure as code.
I believe in the power of data-driven decision making and enjoy working in collaborative teams to tackle challenging problems. Whether it's building a recommender system with full MLOps practices, deploying agentic AI for healthcare applications, or architecting cloud-native ML pipelines, I bring a holistic approach to every project.
Data Science Analyst, Healthcare Data Products and Services
Machine Learning Team Lead, Dynamic Optimization and Operations Management LAB
Machine Learning Specialist
A collection of production-ready machine learning and data science projects showcasing end-to-end MLOps practices, advanced algorithms, and real-world applications.
A production-style end-to-end recommender system for e-commerce platforms with data versioning, experiment tracking, drift monitoring, and deployment capabilities.
Technologies:
Python · DVC · MLflow · Evidently · Implicit · FastAPI/Streamlit · GitHub Actions
Key Features:
A production-ready, regulated-domain-safe agentic RAG system that orchestrates multiple specialized agents to provide clinical operations guidance with strict safety, grounding, and auditability requirements.
Technologies:
Python · RAG · LLM · Multi-Agent Systems · Healthcare AI · Safety & Compliance
Key Features:
An end-to-end machine learning pipeline for supply chain optimization using Apache Airflow for workflow orchestration, featuring demand forecasting, inventory optimization, and automated ML workflows.
Technologies:
Python · Apache Airflow · Machine Learning · Time Series Forecasting · Supply Chain Analytics
Key Features:
Research and implementation of Graph Neural Network (GNN) architectures for learning representations on graph-structured data, including node classification, link prediction, and graph-level tasks.
Technologies:
Python · PyTorch Geometric · Deep Learning · Graph Theory · Neural Networks
Key Features:
A machine learning system for optimizing digital advertising campaigns through budget allocation, audience targeting, and performance prediction to maximize ROI and campaign effectiveness.
Technologies:
Python · Machine Learning · Optimization Algorithms · Marketing Analytics · Data Science
Key Features:
A FastAPI-based application that integrates Azure OpenAI (GPT-4o) and Azure AI Search to provide chat, embedding, and RAG (Retrieval Augmented Generation) capabilities with vector search for semantic document retrieval.
Technologies:
Python · FastAPI · Azure OpenAI · Azure AI Search · GPT-4o · RAG · Vector Search
Key Features:
I am equipped with diverse skills by the virtue of my hard work. In the past, I have worked on multiple projects in churn prediction, natural language processing, demand forecasting, supply chain optimization, recommender systems, MLOps, graph neural networks, and LLM/RAG systems. Explore my website to get more details about my experience and projects.
Thank you for going through my portfolio, don't hesitate to send me an email at aloagbaye.i@gmail.com