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I am a results-driven machine learning engineer and full-stack data scientist with 5+ years of experience across finance, healthcare, consulting, and startup environments. I specialize in ML, NLP, and generative AI, delivering measurable business value through robust data products and scalable solutions. I have led end-to-end ML and AI initiatives at organizations like Deloitte and HSBC, including building production-ready pipelines, MLOps knowledge bases, and NLP applications that improve customer experience and compliance. I am currently pursuing an MSc in Management with Data Analytics (2025) to deepen leadership and analytics capabilities and translate data-driven insights into strategic business impact.…I am a results-driven machine learning engineer and full-stack data scientist with 5+ years of experience across finance, healthcare, consulting, and startup environments. I specialize in ML, NLP, and generative AI, delivering measurable business value through robust data products and scalable solutions. I have led end-to-end ML and AI initiatives at organizations like Deloitte and HSBC, including building production-ready pipelines, MLOps knowledge bases, and NLP applications that improve customer experience and compliance. I am currently pursuing an MSc in Management with Data Analytics (2025) to deepen leadership and analytics capabilities and translate data-driven insights into strategic business impact.

ABDULRAHMAN IYANIWURA

Data Scientist, AI Engineer, Developer, +3

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I am a results-driven machine learning engineer and full-stack data scientist with 5+ years of experience across finance, healthcare, consulting, and startup environments. I specialize in ML, NLP, and generative AI, delivering measurable business value through robust data products and scalable solutions. I have led end-to-end ML and AI initiatives at organizations like Deloitte and HSBC, including building production-ready pipelines, MLOps knowledge bases, and NLP applications that improve customer experience and compliance. I am currently pursuing an MSc in Management with Data Analytics (2025) to deepen leadership and analytics capabilities and translate data-driven insights into strategic business impact.…I am a results-driven machine learning engineer and full-stack data scientist with 5+ years of experience across finance, healthcare, consulting, and startup environments. I specialize in ML, NLP, and generative AI, delivering measurable business value through robust data products and scalable solutions. I have led end-to-end ML and AI initiatives at organizations like Deloitte and HSBC, including building production-ready pipelines, MLOps knowledge bases, and NLP applications that improve customer experience and compliance. I am currently pursuing an MSc in Management with Data Analytics (2025) to deepen leadership and analytics capabilities and translate data-driven insights into strategic business impact.

Available to hire

I am a results-driven machine learning engineer and full-stack data scientist with 5+ years of experience across finance, healthcare, consulting, and startup environments. I specialize in ML, NLP, and generative AI, delivering measurable business value through robust data products and scalable solutions.

I have led end-to-end ML and AI initiatives at organizations like Deloitte and HSBC, including building production-ready pipelines, MLOps knowledge bases, and NLP applications that improve customer experience and compliance. I am currently pursuing an MSc in Management with Data Analytics (2025) to deepen leadership and analytics capabilities and translate data-driven insights into strategic business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Machine Learning Engineer (contract) at Saif Social and Health Care Homes

January 1, 2025 - Present

Designed and implemented an automated ML pipeline integrating staff portal APIs with advanced NLP and Large Language Model technologies to process tenant support notes and generate real-time sentiment analysis for risk assessment. Built an automated alert system with real-time notifications to compliance teams, reducing response times and improving regulatory adherence via intelligent routing algorithms. Deployed a secure on-premises solution using virtual machine infrastructure, ensuring cost-effective operations with strict GDPR compliance and internal staff access only.

Machine Learning Engineer (contract) at Saif Social and Health Care Homes

January 1, 2025 - Present

Designed and implemented automated ML pipelines integrating staff portal APIs with advanced NLP and LLM technologies to process tenant support notes and generate real-time sentiment analysis for risk assessment. Built an automated alert system with real-time notifications to compliance teams, reducing response times and improving regulatory adherence through intelligent routing algorithms. Deployed a secure on-premises solution via virtual machine infrastructure to ensure cost-effective operations while maintaining strict GDPR compliance and limiting access to internal staff.

Machine Learning Engineer (Contract) at MYai Robotics LLC

May 1, 2024 - May 1, 2024

Partnered with an early-stage startup to architect a breakthrough AI assistant that leveraged state-of-the-art generative AI technologies to overcome fundamental limitations in commercial voice assistants. Architected autonomous AI agents capable of performing complex task chains (scheduling, payments processing, contextual decision-making). Deployed production-ready models using Docker, CI/CD pipelines (GitHub Actions), and MLflow, achieving 99.7% service uptime and efficient model versioning.

Consultant, Machine Learning Engineer at MYai Robotics LLC

May 1, 2024 - September 5, 2025

Partnered with an early-stage startup to create an AI assistant using state-of-the-art generative AI technologies that improved task completion beyond commercial voice assistants like Siri and Alexa. Architected autonomous AI agents that perform complex task chains such as scheduling, payment processing, and contextual decision-making. Deployed production-ready models with containerization (Docker), CI/CD pipelines (GitHub Actions), and MLOps best practices (MLflow), achieving 99.7% service uptime and efficient model versioning.

Consultant, Machine Learning Engineer at MYai Robotics LLC

May 1, 2024 - September 5, 2025

Partnered with an early-stage startup to architect a breakthrough AI assistant leveraging state-of-the-art generative AI technologies, overcoming limitations in commercial voice assistants, achieving better task completion rates in user testing. Architected and implemented autonomous AI agents for complex task chains including scheduling, payments processing, and contextual decision-making. Deployed production-ready models using containerization (Docker), CI/CD pipelines (GitHub Actions), and MLOps best practices (MLflow), ensuring 99.7% uptime and efficient model versioning.

Consultant, Data Strategy and Data Science at Deloitte

January 1, 2024 - January 1, 2024

Delivered strategic data and AI solutions for diverse enterprise clients across healthcare, financial services, and research institutions. Led the implementation of an LLM-based MLOps knowledge base system at Deloitte AI Institute to enhance ML operationalization. Guided a team to translate COBOL to Python using StarCoder, generating code and documentation for analysts and developers, resulting in cost savings. Automated workforce processes using SSIS and crafted Power BI reports to inform stakeholders, achieving measurable efficiency gains.

Consultant, Data Strategy and Data Science at Deloitte

January 1, 2024 - September 5, 2025

Delivered strategic data and AI solutions for enterprise clients in healthcare, financial services, and research. Implemented a cutting-edge large language model (LLM) to develop a comprehensive Machine Learning Operations (MLOps) knowledge base at Deloitte AI Institute, revolutionizing ML operationalization. Led a team to translate legacy COBOL code to Python using StarCoder LLM, streamlining processes and generating business and developer documentation, resulting in significant cost savings. Developed advanced SSIS automations and insightful Power BI reports for a top healthcare organization, yielding a 12% cost reduction.

Consultant, Data Strategy and Data Science at Deloitte

January 1, 2024 - September 5, 2025

Delivered strategic data and AI solutions for clients across healthcare, financial services, and research. Led implementation of an LLM-based MLOps knowledge base at Deloitte AI institute, revolutionizing ML operationalization. Led development using StarCoder LLM to translate COBOL to Python with code documentation, streamlining processes and achieving cost savings. Automated workforce processes using SSIS and crafted Power BI reports for healthcare stakeholders, achieving a 12% cost reduction.

AI Expert at HSBC

April 1, 2023 - April 1, 2023

Led HSBC's Integrated Customer Service Program (ICSP) using Microsoft AI Builder, reducing human intervention by 50%. Developed NLP solutions to handle customer emails, detect sentiment, and route to relevant departments. Integrated NLP models with Dynamics CRM across 40+ countries. Additional models included named entity extraction, image-based entity extraction, and language translation.

AI Expert at HSBC

April 1, 2023 - September 5, 2025

Led implementation of HSBC's Integrated Customer Service Program (ICSP) using Microsoft AI Builder, reducing human intervention by 50%. Developed advanced NLP models for sentiment detection in customer emails, automating routing to relevant departments for faster resolution across 40+ countries via integration with the global CRM Dynamics platform. Also developed models for named entity extraction, image entity extraction, and language translation.

AI Expert at HSBC

April 1, 2023 - September 5, 2025

Led implementation of HSBC's Integrated Customer Service Program (ICSP) using Microsoft AI Builder, reducing human intervention by 50%. Developed NLP models to efficiently handle customer emails for sentiment detection and routing integrated with global Dynamics CRM platform deployed in 40+ countries. Developed models for named entity extraction, image entity extraction, and language translation.

Data Scientist at Access Bank PLC

February 1, 2022 - February 1, 2022

Led deployment of the RFM model into live environment, increasing transaction activity among 42 million customers. Deployed the churn model using Azure Machine Learning with an 80% retention rate. Built predictive models for targeted product marketing to optimize ROI. Collaborated on an NLP-driven online surveillance application that classifies remarks as positive, negative, or neutral and retrieves related news for reputational risk insights. Built NLP-based intelligent document processing (resume parser and credit file parser) to automate data extraction. Automated data collection from third-party sources and delivered 30+ Power BI reports for executives and stakeholders.

Data Scientist at Access Bank PLC

February 1, 2022 - September 5, 2025

Led deployment of RFM model increasing transaction activity by 74% among 42 million bank customers. Deployed customer churn model via Azure Machine Learning achieving 80% retention rate. Implemented predictive models for marketing ROI optimization. Co-developed NLP-based online surveillance app to classify customer comments and gather web news to manage reputational risk. Developed intelligent document processing solutions for resume and credit file parsing using NLP and Python saving manual labor. Automated data collection from third-party sites using Python and UiPath reducing errors and execution time. Designed and deployed over 30 Power BI reports to track trends and insights for stakeholders. Delivered projects on credit rating, loan default propensity, staff performance clustering, queue forecasting, and automation.

Data Scientist at Access Bank PLC

February 1, 2022 - September 5, 2025

Led implementation of RFM model increasing transaction activity by 74% among 42 million customers. Deployed customer churn predictive model via Azure ML achieving 80% retention. Developed predictive models for marketing ROI optimization. Engineered NLP-based online surveillance application for sentiment analysis and news retrieval aiding reputational risk management. Created intelligent document processing solutions for resume and credit file parsing using NLP and Python. Automated data collection workflows reducing manual effort using Python and UiPath. Designed and deployed over 30 Power BI reports for executives and stakeholders tracking trends, insights, and abnormalities. Other projects included credit rating, propensity modeling, staff performance clustering, and queue forecasting.

Machine Learning Engineer (Contract) at Saif Social and Health Care Homes

January 1, 2015 - November 6, 2025

Designed and implemented automated ML pipelines integrating staff portal APIs with advanced NLP and LLM technologies to process tenant support notes and generate real-time sentiment analysis for risk assessment. Built automated alert system with real-time notifications to compliance teams, reducing response times and improving regulatory adherence through intelligent routing. Deployed a secure on-premises solution via VM infrastructure to ensure cost-effective operations while maintaining strict GDPR compliance and restricting access to internal staff.