Open To Work
MAUREEN MUTHONI
Nairobi
Work Preference
Job Search Status
Open to workDesired start date: Flexible
Desired Job Title
Junior Data ScientistWork Type
Full TimePart TimeGig WorkLocation Preference
RemoteHybridLocation: Nairobi, KE
Open to relocation: Yes
Salary Range
51000/yr - 200000/yrImportant To Me
Career advancementWork-life balanceFlexible work hoursHealthcare benefitsWork from home optionPaid time offPaid sick leavePersonal development programsSummary
Recent Data Science & AI graduate with a multidisciplinary background spanning microbiology, business analytics, and machine learning engineering. Experienced in building end-to-end ML pipelines, retrieval augmented generation (RAG) systems, and data-driven tools for healthcare and business intelligence. Adept at translating complex data into clear, actionable insights for both technical and non-technical stakeholders.
Overview
1
1
Certification
1
1
year of professional experience
Work History
Research Intern
Kenya Medical Research Institute
09.2024 - 09.2025
- Supported development of analytical tools and interactive visualisations for healthcare decision-making
- Performed exploratory data analysis (EDA) and insight generation for business and operational initiatives
- Collaborated across technical and business stakeholders to translate complex datasets into clear, actionable recommendations
- Contributed to dashboard development using Excel, Power BI to track operational KPIs
- Assisted in data collection and analysis using statistical software to ensure accuracy.
- Collaborated with team members to develop presentations summarizing research findings.
- Managed project timelines and coordinated tasks to meet deadlines effectively.
- Participated in weekly meetings, providing updates on progress and challenges faced.
- Maintained organized records of research activities, enhancing project workflow efficiency.
- Completed research, compiled data, and assisted in timely reporting.
- Completed research, compiled data, updated spreadsheets, and produced timely reports.
- Streamlined data entry processes for increased efficiency and accuracy in results reporting.
Education
Data Science & Artificial Intelligence -
06-2026
- Intensive program covering Excel, PowerBi, SQL, Python, Machine Learning, Deep Learning, NLP, RAG systems, and production ML deployment
- Built multiple end-to-end projects integrating Python, vector databases, and LLM-based inference pipelines
Bachelor of Science - Microbiology And Biotechnology
09-2021
Developed strong foundations in quantitative research, scientific data analysis, and experimental design
Skills
- Languages: Python, SQL
- ML / AI: scikit-learn, Tensorflow, PyTorch, RAG pipelines, LangChain, vector embeddings, hyperparameter tuning, NLP, Neural Networks
- Databases: ChromaDB, PostgreSQL, MySQL, SQLite
- Visualisation: Power BI, Excel (PivotTables, Power Query), Matplotlib, Plotly, Seaborn
- Frameworks: FastAPI, Jupyter Notebook, Git/GitHub, VS Code
- Domain: Healthcare analytics, business intelligence, scientific data analysis, document intelligence
- Soft Skills: Stakeholder communication, cross-functional collaboration, problem-solving, detail-oriented
Additional Information
Healthcare Data Pipeline & Machine Learning System Data Engineering / ML
- Python, PostgreSQL, XGBoost, FastAPI, Airflow, Render
- Built an end-to-end healthcare analytics pipeline on a synthetic dataset of 10,000 patient records (Kaggle), covering data cleaning, storage, modelling, and deployment
- Designed and populated a PostgreSQL database (Aiven Cloud) with both raw and cleaned patient data, ensuring data integrity across tables
- Trained XGBoost and Logistic Regression classifiers to predict patient test results (Normal / Abnormal / Inconclusive), evaluated with accuracy, precision, recall, F1-score, and confusion matrix
- Automated weekly model retraining via an Apache Airflow DAG scheduled every Saturday, pulling the latest data from PostgreSQL
- Deployed a FastAPI prediction endpoint (POST /predict) to Render, making the model publicly accessible via a live URL
AI-Powered Adaptive Learning System ML / AI Engineering
- Python, RAG, LLMs, FastAPI
- Designed and developed an intelligent learning platform combining a frontend interface with backend ML systems
- Integrated machine learning models with RAG pipelines to personalise content delivery based on learner behaviour and progress
- Developed scalable backend architecture integrating APIs, vector embeddings, and LLM inference for real-time adaptive responses
Customer Lifetime Value (CLV) Prediction System ML · Predictive Analytics
• Architected an end-to-end predictive modelling pipeline for revenue forecasting with advanced feature engineering
• Optimised model performance via cross-validation and hyperparameter tuning; delivered interpretable outputs to support customer retention strategy
Retrieval-Augmented Generation (RAG) Systems AI · NLP Engineering
• Designed scalable semantic retrieval systems converting multi-document corpora into embedding-powered search engines using ChromaDB and LangChain
• Built modular ingestion pipelines (PDF parsing, chunking, embedding, indexing) for 50+ page document datasets; improved contextual accuracy over keyword search via dense vector similarity
Production Oriented ML Application — Travel AI Assistant ML Engineering / Backend
- FastAPI, Python, Vector DB
- Built a FastAPI backend integrating retrieval and inference layers for a deployment-ready ML application
- Structured ingestion, retrieval, and query logic into modular, maintainable components following production best practices
Accomplishments
- Successfully transitioned from a Microbiology and Biotechnology background into Data Science and AI Engineering, combining scientific research expertise with advanced analytics.
- Built multiple production oriented machine learning applications across healthcare, education, sports analytics, and document intelligence domains.
- Developed automated ML pipelines featuring cloud databases, FastAPI deployment, Apache Airflow orchestration, and scheduled model retraining.
- Applied machine learning and statistical analysis techniques to solve real-world problems using healthcare and scientific datasets.
Certification
- Data Science & Artificial Intelligence — Luxdev Hq
- Data Analysis with Python — Coursera / IBM
- International Certificate of Digital Literacy — Mahanaim College
LANGUAGES
English (Fluent)
Swahili (Native)
Timeline
Research Intern - Kenya Medical Research Institute
09.2024 - 09.2025
Luxdev Hq - Data Science & Artificial Intelligence ,
University of Nairobi - Bachelor of Science, Microbiology And Biotechnology