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STEPHEN NPOANDAN BINAANSIM

PEN2/4 R2 Pentland House, 47 Robb's Loan, Edinburgh EH14 1TY

Email: [email protected] | Mobile: +447737760009

LinkedIn: www.linkedin.com/in/snbinaansim | Website: https://sites.google.com/view/snbinaansim/

PROFESSIONAL SUMMARY

A highly motivated and detail-oriented Data Analyst with a solid quantitative foundation in Mathematics, Bioinformatics, and Data Analytics. Proficient across the complete data lifecycle, from collection and cleaning to validation, analysis, and reporting, utilising tools such as Python, R, and Excel. Specialised in 'omics' data analysis (genomics, transcriptomics, and metabolomics analysis pipelines). Skilled at translating complex data into clear, actionable insights through compelling reports, visualisations, and dashboards.

SKILLS & INTERESTS

Data Collection & Cleaning: Data validation, quality checks, handling missing data, reproducible workflows

Analysis & Statistics: Descriptive statistics, exploratory data analysis (EDA), basic statistical modelling

Data Tools: Excel (pivot tables, formulas), Google Sheets, Python (pandas, matplotlib), R (tidyverse, DESeq2), Linux, Latex (writing)

Visualisation & Reporting: Charts, tables, dashboards, stakeholder-ready reports

Data Management: Documentation, data dictionaries, version control, reproducibility

Soft Skills: Analytical thinking, attention to detail, communication, cross-functional collaboration, researcher, leadership

EDUCATION

University of Edinburgh, Scotland, United Kingdom

Doctor of Philosophy – Artificial Intelligence in Biomedical Innovation

Focus: Data-driven modelling, analytics, and applied machine learning | 2025 - Ongoing

Covenant University, Ota, Nigeria

Master of Science – Bioinformatics

CGPA (4.71/5.0); Grade: Distinction | Awarded Sept. 2023

Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Bachelor of Science, Mathematics

CWA (74.89/100); Grade: First Class Honours | Awarded Nov. 2021

DATA & ANALYTICS EXPERIENCE

Research Associate (Bioinformatician)

Bioinformatics Lab @ WACCBIP, Department of Biochemistry, University of Ghana | May 2024 - Sept. 2025

  • Assisted in collecting, cleaning, and validating large biological and experimental datasets from multiple sources.
  • Performed exploratory data analysis (EDA) using Python and R to identify trends, patterns, and anomalies.
  • Generated reports, tables, charts, and visual summaries for researchers and internal stakeholders.
  • Supported data quality monitoring, flagging inconsistencies and maintaining data accuracy.

Graduate Research Assistant

Covenant Applied Informatics and Communication - Africa Centre of Excellence (CApIC–ACE), Covenant University, Nigeria | Feb. 2022 – Sept. 2023

  • Managed and maintained research databases, ensuring consistency, accuracy, and timely updates.
  • Conducted data cleaning, transformation, and analysis using Python and R.
  • Supported basic statistical analysis and data modelling for biological network and population studies.

Data & Operations Support (Intern)

Nkwanta North District Health Directorate, Kpassa, Ghana | Feb. 2022 – Sept. 2023

  • Assisted with data entry, cleaning, and analysis of National Health Insurance Scheme (NHIS) records.
  • Supported the preparation of financial and operational summaries for district management.

PUBLICATIONS

Isewon, I., Binaansim, S., Adegoke, F., Emmanuel, J., & Oyelade, J. (2024). Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. PLOS ONE, 19(12), e0315530. https://doi.org/10.1371/journal.pone.0315530

Amoako, E. K., Bennett, K. L., Hernandez-Koutoucheva, A., Debrah, I., Morang'a, C. M., Binaansim, S., & Amenga-Etego, L. N. (2025). Genomic population structure and insecticide resistance mechanisms in the malaria vector An. coluzzii across contrasting bioclimatic zones in West Africa. Springer Science and Business Media LLC. https://doi.org/10.21203/rs.3.rs-7878288/v1

CERTIFICATIONS & TRAINING

Professional Certifications

Google Data Analytics Certificate

DataCamp Certified Data Analyst

DataCamp

Professional certification covering data preparation, analysis, visualization, and stakeholder communication. Credentials ID: DA0021148566154

View Certificate (PDF) →

Additional Training

  • Google Cloud Computing Training, Google Africa Development Scholarship (2023)
  • Genome Data Analysis, Ilorin Polytechnique, Nigeria (2022)
  • Data Analytics for Decision Making, Bond University (2020)
  • Big Data Analytics, Griffith University, Australia (2020)

PROFESSIONAL AFFILIATIONS

  • World Bank Scholar, CApIC-ACE, Nigeria
  • Member, Back In Mathematics Association (BMA)
  • Member, Black In AI (Artificial Intelligence)

References available upon request

For more details on research projects and additional resources, visit my full profile