Garcia Wa Nnam
Plymouth,UK
Summary
Technical Data Science student with high proficiency in Python, R, SQL, Machine Learning and a proven ability to design end-to-end data pipelines and build predictive models. Expertise spans Natural Language Processing (NLP), Big Data visualization, and advanced statistical modeling (Bayesian/Frequentist). Skilled in translating high-dimensional datasets into actionable strategic insights through robust software development and collaborative version control.
Overview
2
2
years of professional experience
4
4
years of post-secondary education
Work history
Team Leader
The Old School House, Plympton
Plympton
2025.10 - 2026.02
- Supervise and coordinate care staff during shifts, ensuring high-quality dementia care and effective team performance.
- Monitor resident care records, incident reports, and electronic documentation to maintain compliance with UK safeguarding and regulatory standards.
Teaching Assistant
Jackson Hayes Recruitment Agency, UK
2026.01 - 2026.02
- Supported classroom instruction and assisted with structured lesson delivery across diverse student groups.
- Maintained accurate student progress records and contributed to behavioural and performance monitoring.
Head of Midwifery Department
St. Louise University Institute, Cameroon
2024.01 - 2025.08
- Led departmental planning and faculty coordination.
- Analysed student performance data to improve academic outcomes.
- Delivered structured, evidence-based educational programmes.
Education
MSc - Health Data Science and Statistics
University of Plymouth
Plymouth, UK 2025.09 - 2026.09
BSc (Hons) - Midwifery
National Training School for Midwives
Bamenda, Cameroon 2018.10 - 2021.08
Skills
- Languages: Python, R, SQL
- Frameworks/Tools: Pandas, NumPy, PyTorch, SciPy, Scikit-learn, Matplotlib, Git, GitHub, SQLite, Jupyter
- Technical Skills: Machine learning, Natural Language Processing, Statistics, Data Mining
- Data Engineering: ETL Pipelines, Relational Database Design, Data Cleaning
Relevant coursework/Projects
End-to-End Data Pipeline & Database Architecture
Python | SQL | SQLite
- Designed and implemented a normalized relational database from raw structured and semi-structured datasets.
- Built automated ETL pipelines in Python (Pandas) to clean, transform, and validate high-dimensional data.
- Developed a Tkinter GUI to enable structured data access for non-technical users while collaborating in an Agile team using Git.
Predictive Modelling & Machine Learning
- Developed and evaluated supervised and unsupervised models (GLMs, decision trees, clustering) to extract actionable insights from structured datasets.
- Executed full modelling lifecycle: EDA, feature engineering, model training, validation, and performance evaluation.
- Applied regularisation techniques to reduce overfitting and communicated findings to both technical and non-technical stakeholders.
Natural Language Processing Applications
Python | NLP | Transformers
- Processed and analysed large text datasets using tokenisation and embeddings.
- Built sentiment analysis and text classification models.
- Explored transformer-based approaches for extracting structured insights from unstructured text.
Language
Native bilingual — English and French
Affiliations
Secretary Women of Vigor Ministries | Jan 2023 – Present
Timeline
Teaching Assistant
Jackson Hayes Recruitment Agency, UK
2026.01 - 2026.02
Team Leader
The Old School House, Plympton
2025.10 - 2026.02
MSc - Health Data Science and Statistics
University of Plymouth
2025.09 - 2026.09
Head of Midwifery Department
St. Louise University Institute, Cameroon
2024.01 - 2025.08
BSc (Hons) - Midwifery
National Training School for Midwives
2018.10 - 2021.08