Precious Ejiba
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.

I come from a background where access to quality healthcare often determines survival. Growing up, I witnessed firsthand how system failures and delayed interventions could cost lives. It wasn’t just statistics, it was personal. That reality became the foundation of my purpose.

My journey began in biomedical engineering, where I gained a solid foundation in medical technologies and their critical role in patient care. But as I engaged with real-world challenges from equipment breakdowns in hospitals to missed opportunities for early disease detection. I realised that data had the power to drive life-saving solutions. That realisation sparked my transition into data science.

Today, I use technology not just to fix what’s broken, but to build systems that prevent breakdowns in the first place. I design tools that make healthcare more predictive, data more meaningful, and support more human. My work is rooted in empathy, driven by innovation, and aimed at solving real problems, especially for underserved communities.

Whether it’s through DB GlucoTrack, a data-powered self-management platform for diabetes, or my research into predictive modelling for medical equipment failure, every product or project I build is driven by a single goal: to bridge the gap between data and care. My solutions are designed to be scalable, purposeful, and deeply human, using data as a force for prevention, empowerment, and equity in healthcare.
My mission is to transform global healthcare through scalable, human-centred innovations.
My values are impact, empathy, integrity, and excellence.

What drives me is the belief that everyone deserves access to intelligent, proactive healthcare regardless of geography or status.

This isn’t just a career for me — it’s a calling
Portfolio

My Formal Bio Details

Pfizer UK Ltd, United Kingdom
CFC Data & Insights Analyst | Jan 2025 – Present
  • 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
BI Analyst | Feb 2023 – Dec 2023
  • Boosted online transactions from 58% to 90%
  • Reduced erroneous payments by 35%
  • Improved monthly insights turnaround by 30%
CrowdAfrik Ltd
Data Analyst | Jan 2022 – Feb 2023
  • 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
Medical Technologist | Jun 2018 – Aug 2021
  • 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 – 2018
Certifications
  • 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
Technical Skill
  • Data Analysis & Modelling: Pandas, NumPy, Time-Series Analysis, Scikit-Learn, R, SQL
  • Machine Learning & AI: TensorFlow, LSTM, Predictive Modelling, Classification & Regression
  • Visualisation & Reporting: Tableau, Power BI, MicroStrategy, SSRS, Matplotlib, Seaborn, Plotly
  • CRM & Digital Marketing: HubSpot, Salesforce, Google Analytics (GA4), Mailchimp
  • Cloud & Data Tools: AWS (basic), IBM Infosphere, ETL, Reltio, RDM, SSMS
  • Project Management: Agile, Scrum, Jira
  • Molecular Biology Techniques: PCR, Gel Electrophoresis, Western blot, ELISA
    • Bioinformatics Tools: BLAST, CARD, Galaxy, PRIMER3, Clustal
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.

GitHub Repo | DB GlucoTrack

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.

GitHub Repo

Research

Peer-Reviewed Publications

Research Experience

  • Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)

    • • Conducted differential expression and pathway enrichment analysis on public gene expression datasets from NCBI and GEO.
    • Identified three potential biomarkers for early-stage HCC, including AFP, a known biomarker thereby validating the research approach

  • qPCR assay development for HA & CA MRSA detection and antibiotic profiling

    • • Designed and validated a qPCR assay to detect both hospital-acquired (HA) and community-acquired (CA) MRSA.
    • Performed antimicrobial susceptibility testing across identified MRSA strains.

  • Chronic disease detection using physiological and lifestyle data (DB GlucoTrack Phase 3)

    • • Exploring how diabetes and lifestyle data can predict early signs of chronic diseases, using liver cancer as a case study.
    • Supports DB GlucoTrack’s Phase 3 goal of adding predictive insights to enhance early detection and intervention.
Recognition & Media
High Achiever’s Award – Nottingham Trent University
  • 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.
RTC UK Leadership & Mentorship Recognition – Rewriting the Code
  • Honoured for leading community initiatives, mentoring early-career women in tech, and increasing member engagement through.
Media Features
Rising HealthTech Visionary– Vanguard Health Spotlight
DB GlucoTrack Launch Feature, The Guardian Nigeria
Amdari Roundtable – Women in Tech Champion AI for Social Good, The Guardian News Nigeria
Community Involvment
I’m deeply committed to giving back through structured mentoring, volunteer judging, and community tech initiatives aimed at supporting early-career professionals and underrepresented groups.

RTC UK – Rewriting the Code (Ambassador)

  • Spearheaded and hosted a tech panel at Nottingham Trent University, demystifying tech roles and inspiring students from non-traditional backgrounds.
  • Served as a panellist for InclYOUsion Day, sharing insights on transitioning from medicine into tech, leading to three mentorship signups — one directly attributing a successful transition to the support given
  • Led RTC UK’s Summer Tech Hub as a mentor, supporting interns through early- career challenges, resume building, and goal setting.
  • Conducted CV and portfolio reviews and provided strategic mentorship tailored to women in tech from underrepresented communities.
  • Volunteered at St George’s School, Scotland, introducing over 600 schoolgirls to the world of tech and inspiring future women leaders in STEM.
  • Initiated and led a monthly skill development initiative aimed at helping RTC members collaborate on real-world projects, enhance their portfolios, and improve job readiness. This effort increased engagement by 60%, allowing members to demonstrate hands-on experience and technical growth.

eCYBERMISSION (U.S. Army Educational Program) – Volunteer Judge

  • Reviewed STEM research proposals submitted by middle and high school students from across the U.S
  • Provided expert feedback to encourage innovation and problem-solving in real-world community challenges.

Guest Lecture – Ebonyi State University

  • Delivered an invited lecture on Bioinformatics and Data-Driven Discovery to 300L students.

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.

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preciousejiba1@gmail.com, p.ejiba@dbbiomedical.com

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