I'm a MSc graduate in Artificial Intelligence and Data Science with over five years of experience spanning business analysis, data analytics and applied AI/ML development. I enjoy turning complex data into actionable insights, automating workflows, and building predictive models that drive business growth. My work includes improving churn detection by substantial margins and prototyping RAG-based systems. Currently I work as an AI/ML Associate on a freelance basis, delivering end-to-end data science projects—from data cleaning to model deployment—and exploring retrieval-augmented generation with LangChain and Milvus. I also contribute to operations and governance, collaborating effectively with multidisciplinary teams and continually upskilling in cloud deployment and MLOps.…

Juliet Jenkinson

I'm a MSc graduate in Artificial Intelligence and Data Science with over five years of experience spanning business analysis, data analytics and applied AI/ML development. I enjoy turning complex data into actionable insights, automating workflows, and building predictive models that drive business growth. My work includes improving churn detection by substantial margins and prototyping RAG-based systems. Currently I work as an AI/ML Associate on a freelance basis, delivering end-to-end data science projects—from data cleaning to model deployment—and exploring retrieval-augmented generation with LangChain and Milvus. I also contribute to operations and governance, collaborating effectively with multidisciplinary teams and continually upskilling in cloud deployment and MLOps.…

Available to hire

I’m a MSc graduate in Artificial Intelligence and Data Science with over five years of experience spanning business analysis, data analytics and applied AI/ML development. I enjoy turning complex data into actionable insights, automating workflows, and building predictive models that drive business growth. My work includes improving churn detection by substantial margins and prototyping RAG-based systems.

Currently I work as an AI/ML Associate on a freelance basis, delivering end-to-end data science projects—from data cleaning to model deployment—and exploring retrieval-augmented generation with LangChain and Milvus. I also contribute to operations and governance, collaborating effectively with multidisciplinary teams and continually upskilling in cloud deployment and MLOps.

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Skills

Experience Level

Python
Expert
SQL
Expert
Power BI
Expert
Tableau
Expert
Data Visualization
Expert
TensorFlow
Expert
Azure
Expert
Docker
Expert
Github
Expert
PyTorch
Expert
AWS
Intermediate
R
Intermediate
Kubernetes
Intermediate
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Language

English
Fluent
Hausa
Beginner
French
Beginner

Work Experience

AI / Machine Learning Associate at Freelance/Contract (Remote)
January 1, 2022 - November 14, 2025
Designed, fine-tuned, and evaluated machine learning models for classification, clustering, and predictive analytics projects using Scikit-learn and TensorFlow. Bank Churn Prediction: improved churn detection by 18% using feature-engineered Decision Trees and ANNs. Built prototypes for RAG-based chat systems integrating LangChain and Milvus vector databases for knowledge retrieval. Developed automated pipelines for data cleaning, feature engineering, and model deployment using Python and Azure AI services. Collaborated with data engineers to test Graph RAG structures for structured knowledge representation in real-world business use cases. Contributed to open-source AI initiatives and upskilled in MLOps and cloud deployment best practices.
Office Manager (Admin, IT and Document Control) at Building Design Partnership (BDP)
August 1, 2024 - November 14, 2025
Providing 1st-line IT support for software, hardware and network issues and liaising with 2nd and 3rd line support to resolve issues and support users. Analyzing staff workload and generating resourcing forecasts to provide insight into project capacity and then presenting to stakeholders for analysis. Managing local staff onboarding processes by gathering information and sharing with relevant teams, confirming accounts are created and system access is granted to ensure smooth onboarding. Leading the work experience programme, planning mentorship sessions and shadowing opportunities to ensure a productive transition to a professional environment. Managing documentation and version control in line with ISO standards. Ensuring regulatory compliance and accurate project records.
Junior Data Analyst at Little Africa Foods
June 1, 2024 - June 1, 2024
Analysed sales and customer data using Python and SQL. Delivered visual reports in Excel and Power BI, automated reporting processes. Identified trends in churn and improved campaign targeting. Assisted with early-stage experimentation on retrieval-augmented generation (RAG) techniques and supporting knowledge retrieval use cases. Gained exposure to vector databases (Milvus) and cloud environments such as Azure, while shadowing engineers on scalable AI deployments.
Data Science Intern at SI Cleaning
August 1, 2021 - August 1, 2021
Built a customer segmentation model using clustering algorithms (K-Means, DBSCAN). Automated data pipelines using Python and Pandas, reducing reporting time by 40%. Designed Tableau dashboards for stakeholder presentations and KPI tracking. Contributed to proof-of-concept projects involving LLMs and prompt design, learning how to apply NLP for real world tasks. Supported senior data scientists in testing small-scale graph-based AI approaches e.g. Graph RAG, for structured knowledge representation.
Junior Business Analyst at TechVision Ltd
July 1, 2020 - July 1, 2020
Gathered business requirements, supported process mapping and assisted in UAT. Produced Power BI reports for CRM data analysis and workflow optimisation. Worked closely with product owners and IT to ensure business-system alignment.
Accounts Assistant (Credit Controller) at GiveSmart
June 1, 2017 - June 1, 2017
Processed invoices and reconciled accounts to support the finance team. Managed aged debt and improved payment collection procedures.
Office Manager (Admin, IT and Document Control) at Building Design Partnership (BDP), Birmingham
August 1, 2024 - November 14, 2025
Provided 1st-line IT support for software, hardware and network issues and liaising with 2nd and 3rd line support to resolve issues. Analyzed staff workload and generated resourcing forecasts to provide insight into project capacity and then presenting to stakeholders for analysis. Managing local staff onboarding processes by gathering information and sharing with relevant teams, confirming accounts are created and system access is granted to ensure smooth onboarding. Managing and leading the work experience programme, overseeing onboarding procedures, planning mentorship sessions and shadowing opportunities to ensure a productive and seamless transition to a professional environment. Managing documentation and version control in line with ISO standards. Ensuring regulatory compliance and accurate project records.
Data Analyst at Little Africa Foods, Remote
June 1, 2024 - June 1, 2024
Analysed sales and customer data using Python and SQL. Delivered visual reports in Excel and Power BI, automated reporting processes. Identified trends in churn and improved campaign targeting. Assisted with early-stage experimentation on retrieval-augmented generation (RAG) techniques and supporting knowledge retrieval use cases. Gained exposure to vector databases (Milvus) and cloud environments such as Azure, while shadowing engineers on scalable AI deployments
Data Science Intern at SI Cleaning, Hybrid
August 1, 2021 - August 1, 2021
Built a customer segmentation model using clustering algorithms (K-Means, DBSCAN). Automated data pipelines using Python and Pandas, reducing reporting time by 40%. Designed Tableau dashboards for stakeholder presentations and KPI tracking. Contributed to proof-of-concept projects involving LLMs and prompt design, learning how to apply NLP for real world tasks. Supported senior data scientists in testing small-scale graph-based AI approaches e.g. Graph RAG, for structured knowledge representation .
Junior Business Analyst at TechVision Ltd, London
July 1, 2020 - July 1, 2020
Gathered business requirements, supported process mapping and assisted in UAT. Produced Power BI reports for CRM data analysis and workflow optimisation. Worked closely with product owners and IT to ensure business-system alignment.
Accounts Assistant (Credit Controller) at GiveSmart, Reading
June 1, 2017 - June 1, 2017
Processed invoices and reconciled accounts to support the finance team. Managed aged debt and improved payment collection procedures.

Education

MSc Artificial Intelligence & Data Science at Keele University
January 1, 2024 - January 1, 2025
BSc (Hons) Radiotherapy and Oncology at Sheffield Hallam University
January 1, 2018 - January 1, 2022
Access HE Diploma in Nursing and Midwifery at Nottingham College
January 1, 2017 - January 1, 2018
Level 3 Diploma in Computer Science (Information Technology) at Canterbury College
January 1, 2013 - January 1, 2015
MSc Artificial Intelligence & Data Science at Keele University
January 1, 2024 - January 1, 2025
BSc (Hons) Radiotherapy and Oncology at Sheffield Hallam University
January 1, 2018 - January 1, 2022
Access HE Diploma in Nursing and Midwifery at Nottingham College
January 1, 2017 - January 1, 2018
Level 3 Diploma in Computer Science (Information Technology) at Canterbury College
January 1, 2013 - January 1, 2015

Qualifications

Power BI for Business Analysts
January 1, 2025 - November 14, 2025
Agile Project Management with Microsoft Project
January 11, 2030 - November 14, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - November 14, 2025
Developing AI agents on Azure
January 1, 2025 - November 14, 2025
Power BI for Business Analysts – LinkedIn Learning
January 11, 2030 - January 1, 2025
Agile Project Management with Microsoft Project
January 11, 2030 - November 14, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - November 14, 2025
Developing AI agents on Azure
January 11, 2030 - January 1, 2025

Industry Experience

Software & Internet, Education, Professional Services, Healthcare, Financial Services
    paper PDF QA Chatbot

    Developed an intelligent chatbot system that allows users to upload and query PDF documents in natural language. The system integrates LangChain with Google Gemini API to parse, embed, and semantically search PDF content, returning contextually relevant answers. Deployed a lightweight, scalable web interface for seamless interaction.

    Skills: Python, LangChain, Google Gemini, Streamlit, NLP, Vector Databases, Document Parsing

    Deliverables:

    End-to-end document question-answering system

    Embedding and vector search pipeline

    User-friendly web app for document uploads and queries

    paper Pneumonia Detection API

    Created a RESTful API for pneumonia detection from chest X-rays using convolutional neural networks (CNNs). The model predicts pneumonia presence with high accuracy and can be integrated into healthcare applications for automated medical image screening.

    Skills: Python, TensorFlow/Keras, Flask/FastAPI, Deep Learning, Computer Vision, REST API Development

    Deliverables:

    Trained CNN model for pneumonia classification

    Flask API for real-time predictions

    Documentation for API deployment and usage

    paper Scalable Questions Generator

    Built an AI-powered question generation system capable of producing context-aware questions from text passages. Designed to assist educators and e-learning platforms, it leverages transformer-based models to understand text semantics and generate high-quality, diverse questions automatically.
    Skills: Python, NLP, Transformers, Hugging Face, Text Summarization, Question Generation

    Deliverables:

    Automatic question generation engine

    Dataset pre-processing and fine-tuning pipeline

    API endpoints for integration into learning platforms