Samuel Ikem

Data Scientist & AI/ML Engineer

Summary

Highly motivated and results-oriented Data Scientist and AI/ML Engineer with a proven track record of developing and deploying impactful machine learning solutions. Expertise spans the entire ML Lifecycle, from insightful data analysis and statistical inference to robust model building, deployment, and monitoring. Passionate about leveraging AI and machine learning to solve real-world problems and drive significant business value.

Key Projects

Advanced RAG Chatbot for Career Consulting

Built a domain-specific chatbot using LangChain that implements advanced Retrieval-Augmented Generation (RAG) and function calling. The system uses World Economic Forum reports and real-time job market data to provide insightful career advice.

AI-Powered Interview Preparation Tool

Developed and deployed a specialized tool using OpenAI API and advanced prompt engineering to help users prepare for technical interviews, simulating various interviewer personas. The application was containerized with Docker and deployed on AWS for scalability.

Home Credit Default Risk Model (FinTech POC)

Engineered and deployed a machine learning model on Google Cloud Platform to predict loan default risk, demonstrating end-to-end MLOps capabilities for a FinTech proof-of-concept.

Spaceship Titanic Competition (Top Performer)

Achieved a competitive score of 0.79+ by applying advanced feature engineering, handling mixed data types (numeric, categorical, NLP), and ensembling multiple models like XGBoost.

Work Experience

Data Scientist/RPA Developer (Freelance)

Jan 2023 - Present

Blulytix

Delivered numerous client-centric Data Science and AI/ML solutions, including specialized chatbots with LangChain (RAG) and an AI-driven interview prep tool. Leveraged AWS services (EC2, S3) for scalable deployments, automated cloud operations with Boto3, and containerized applications with Docker for 98.8% API uptime.

Data Scientist

Feb 2025 - May 2025

Team Internet

Deployed production-grade ML models for customer engagement, reducing feature delivery time by 25% through CI/CD optimization. Conducted quarterly risk assessments using NIST AI RMF and documented model bias detection. Collaborated with stakeholders to translate challenges into data-driven solutions.

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Jul 2024 - Dec 2024

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Aug 2022 - Jul 2024

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Education

Data Science and AI Program

Apr 2024 - Present

Turing College

IAPP AI Governance Professional (AIGP) Training

Completed Feb 2025

Purpose and Means

Data Analysis With Python/Machine Learning Bootcamp

Oct 2023 - Feb 2024

ALX Academy, Warsaw Poland

Bachelor's in Logistics and Supply Chain Management

Mar 2021 - Mar 2024

Międzynarodowa Wyższa Szkoła Logistyki i Transportu

Skills

Machine Learning & MLOps

TensorFlowScikit-learnPyTorchXGBoostAWS SageMakerDockerCI/CDFastAPIRAGGitIaC PrinciplesTransformer Models

Data Science & Data Analysis

SQLETL PipelinesBoto3AWS QuickSightLooker StudioExcelPython (Pandas, Seaborn)A/B TestingTableauPower BI

Compliance & AI Ethics

AI GovernanceModel Risk AssessmentNIST AI RMFGDPR

Languages

🇬🇧

English

Native

🇩🇪

German

Advanced

🇵🇱

Polish

A1 - Actively Progressing