Available to hire
Hi, I’m Al-Ameen Abdulkareem. I’m a data science and ML engineering professional with a track record of turning complex data into actionable insights and building end-to-end ML solutions across fintech, tech, and professional services. I enjoy collaborating with cross-functional teams to deliver practical AI-driven outcomes and scalable data platforms.
I’m a fast learner who thrives in remote and hybrid setups, with hands-on experience in NLP, sentiment analysis, automation, and ML model deployment. I’m passionate about continuous learning and sharing knowledge to help teams succeed and make data-driven decisions.
Skills
Experience Level
Expert
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Language
English
Advanced
Work Experience
Machine Learning Engineer at Aligner (Freelance, United Kingdom)
September 1, 2025 - PresentEvaluate and label AI model outputs using detailed rubrics to assess response quality, factual accuracy, coherence, and alignment across multiple languages and domains.
Data Scientist / Analyst at Upwork (Freelance, United Kingdom)
May 1, 2023 - September 1, 2025Developed a reporting tool for a FinTech client using Python, SQL, and Power BI, reducing manual reporting by 60%. Created dashboards to track user engagement and churn using cohort analysis and retention curves. Analyzed structured/unstructured data sets and delivered visual insights using Power BI and Tableau. Applied NLP techniques to improve customer insights and product recommendations.
Business Analyst (Data Science) at Impact Fundry
October 1, 2022 - March 1, 2023Led the design of internal NLP automation tools using LLMs and Retrieval-Augmented Generation (RAG). Built FAISS-powered retriever for internal knowledge management. Documented workflows and collaborated with stakeholders on infrastructure planning.
Data Analyst (ML Ops-Focused) at Turing (Remote, Palo Alto, CA)
March 1, 2022 - September 1, 2022Built and maintained Power BI dashboards to monitor KPIs across customer experience, SLA, and operations. Designed automated data pipelines with Apache Airflow to improve reporting accuracy and reduce latency by 35%. Developed RESTful APIs to fetch data from internal databases and integrated Slack alerts for real-time SLA breaches.
Machine Learning Engineer at Law Pavilion
December 1, 2020 - February 1, 2022Developed NLP models using Hugging Face and Doc2Vec to extract case principles and legal heads, reducing research time by 35%. Built a Speech-to-Text model for courtrooms with 90% accuracy. Created a summarization engine for legal documents, improving processing speed by 40%. Designed and deployed APIs using FastAPI for ML inference services. Applied Prodigy for active learning and custom NER model training.
AI Engineer at Fundall
April 1, 2020 - July 1, 2020Built a sentiment analysis pipeline using historical financial data; performed data lifecycle analysis and ensured privacy/compliance.
Software Engineer at PwC Nigeria
July 1, 2020 - December 1, 2020Created and back-tested credit risk models using historical financial data; ensured regulatory compliance and data governance.
Education
MSc Computer Science (Distinction) at Teesside University, UK
September 1, 2022 - July 1, 2024BSc Electrical/Electronic Engineering at University of Lagos, Nigeria
October 1, 2014 - December 1, 2019Qualifications
Foundations of Financial Planning & Client Advice (FPCA) - AFC Level 4
January 11, 2030 - December 25, 2025AI For Everyone - Course
January 11, 2030 - December 25, 2025Learning Python
January 11, 2030 - December 25, 2025Introduction to Data Engineering - IBM
January 11, 2030 - December 25, 2025TakenMind Global Data Analytics - Taken Mind Technologies
January 11, 2030 - December 25, 2025Industry Experience
Software & Internet, Financial Services, Professional Services, Media & Entertainment, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
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