About Me
Biomedical Engineer & Data Scientist
I’m Precious Ejiba, a Biomedical Engineer and Data Scientist passionate about transforming healthcare through technology. I combine deep expertise in biomedical engineering with advanced data science skills to build impactful digital health solutions. I’m the innovator behind DB GlucoTrack, a platform that empowers people with diabetes to self-manage their health using clear visual insights.
Portfolio
My Formal Bio Details
Pfizer UK Ltd, United Kingdom
- Built a HealthCheck Dashboard powering real-time reporting across 20+ therapy areas
- Automated reporting pipelines saving 40 analyst hours/month
- Resolved sales data inconsistencies restoring £18M+ in tracked revenue
- Led Tableau dashboard standardisation and automation strategy
Pension Protection Fund
- Boosted online transactions from 58% to 90%
- Reduced erroneous payments by 35%
- Improved monthly insights turnaround by 30%
CrowdAfrik Ltd
- Created eligibility scoring system reducing vetting time by 70%
- Built dashboards used by 3 internal teams
- Supported growth leading to 23% monthly user increase
Kings Science Wares
- Cut equipment issues by 55% via manufacturer collaboration
- Led team project across 15 hospitals/labs
- Supported growth leading to 23% monthly user increase
MSc Biotechnology
Nottingham Trent University, UK | 2021 – 2022- Achievements: High Achievers Scholarship
BTech Biomedical Technology
FUTO, Nigeria | 2012 – 2018Certifications
- IBM Data Science Professional Certificate | Coursera
- Advanced SQL for Data Science | Coursera
- Python for Data Science | Udemy
- Certified Scrum Master | Scrum Institute
- SSMS for BI | Pension Protection Fund
Projects
Predicting Medical Equipment Failure Using LSTM and Time-Series Analysis
Tech Used: Python, TensorFlow, Flask, LSTM, Time-Series Analysis
Applies LSTM neural networks to predict potential hospital equipment failures from fault logs. Enhances maintenance planning, reduces downtime, and improves clinical reliability.
"50% of medical equipment in developing nations is non-functional." – WHO
Project Link: GitHub Repo
Diabetes Data Visualiser (Early version of DB GlucoTrack)
Tech Used: Python, Streamlit, Pandas, Data Visualisation
Transforms blood sugar data into clear visual feedback to empower patients. The tool evolved into the DB GlucoTrack platform.
Biomarker Identification for Early-Stage Liver Cancer
Tech Used: R, Python (Bioconductor, Tidyverse), Bioinformatics, Gene Expression Analysis
Identified potential biomarkers for early-stage liver cancer using gene expression data. Validated AFP as a key signature.
Research
Peer-Reviewed Publications
- LSTM and Time-Series Analysis in Equipment Failure Prediction – IRE Journals | ResearchGate
- Data Visualisation in Diabetes Self-Management – IRE Journals | ResearchGate
Research Experience
- Biomarker discovery for early-stage Hepatocellular Carcinoma (HCC)
- qPCR assay development for HA & CA MRSA detection and antibiotic profiling
- Chronic disease detection using physiological and lifestyle data (DB GlucoTrack Phase 3)
Recognition & Media
- Received in April 2022 for outstanding performance in a competitive scholarship exam, resulting in a tuition fee reduction. A testament to academic excellence and drive.
- Honoured for leading community initiatives, mentoring early-career women in tech, and increasing member engagement through.
Media Features
- Interviewed for pioneering work in predictive maintenance using LSTM and the development of DB GlucoTrack. Spotlight followed my keynote at the World Health Exhibition & Conference.
- Media coverage of the launch of DB GlucoTrack, a diabetes self-management tool.
Article Link: https://guardian.ng/news/firm-launches-db-glucotrack-to-boost-diabetes-self-management/
- Featured among influential women in tech during an International Women’s Day
panel on AI for social good.
Article Link: https://guardian.ng/technology/women-in-tech-champion-ai-for-social-good-at-amdari-roundtable/
Speaking
- IBM Data Science Professional Certificate | Coursera
- Advanced SQL for Data Science | Coursera
- Python for Data Science | Udemy
- Certified Scrum Master | Scrum Institute
- SSMS for BI | Pension Protection Fund
Let's Connect
I am always open to discussing new opportunities, collaborations, and innovations in the field of biomedical engineering with advanced data science skills to build impactful digital health solutions. Feel free to reach out to me via email at preciousejiba1@gmail.com, p.ejiba@dbbiomedical.com or connect with me on LinkedIn.
Contact Me
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Contact Info
preciousejiba1@gmail.com, p.ejiba@dbbiomedical.com
Send me your query anytime!