I combine an MSc in Medical Microbiology with experience in scientific research, laboratory operations, and data analysis to turn complex information into clear, decision-ready insights.
Explore my work in data analytics, showcasing projects that highlight my skills and contributions to youth justice initiatives.
Center for Improving Youth Justice · Sep 2026 · ✅ Verified by Extern
A data analytics externship with the Center for Improving Youth Justice, focused on analyzing multi-year juvenile facility records to surface correlations and data quality issues.
Personal Project — Google Data Analytics Capstone / Kaggle · Oct 2026
Completed an end-to-end Python/Kaggle analysis of Titanic survival, including missing-value checks, EDA, and feature engineering with FamilySize and IsAlone. I compared Logistic Regression and Random Forest using validation and 5-fold cross-validation. The improved Random Forest raised my Kaggle sco
I combine an MSc in Medical Microbiology with experience in scientific research, laboratory operations, and data analysis to turn complex information into clear, decision-ready insights.
I am a data analytics extern at the Center for Improving Youth Justice, where I'm honing my skills and deepening my understanding of analytics in a real-world context. With a master’s degree, I'm passionate about using data to drive positive change.
Externships
Data Analytics Externship with Center for Improving Youth Justice
Completed · Sep 2026
Experience
Patient Support Volunteer
Alberta Health Services - Peter Lougheed Centre · Jun 2023 - Jul 2026
Tool Repair Technician – Shipping & Receiving / Operations Support
Axcess Talent Management Solutions · Jun 2024 - Aug 2025
Tool Repair Technician – Shipping & Receiving
Randstad · Oct 2022 – Jun 2024
Laboratory Technician C (contract)
AGAT Laboratories · Jan 2022–Jul 2022
Laboratory Technician – Microbiology & Biotechnology
Lahor Research Laboratory & Medical Centre · Jul 2009 - Sep 2021
Postal Controller 1 – Postal Accounting
Nigeria Postal Service · Sep 2018 - Sep 2021
Graduate Assistant – Medical Microbiology
Ambrose Alli University · Nov 2011 - Nov 2015
Education
National Open University of Nigeria
Postgraduate Diploma in Education · Class of 2017
Ambrose Alli University, Ekpoma.
Master of Science in Medical Microbiology · Class of 2015
Delta State University, Abraka
Bachelor of Science in Microbiology · Class of 2010
Skills
✅ Verified by Extern
A data analytics externship with the Center for Improving Youth Justice, focused on analyzing multi-year juvenile facility records to surface correlations and data quality issues.
During my data analytics externship with the Center for Improving Youth Justice, I examined multi-year juvenile-facility data to explore safety conditions experienced by confined youth. The project combined data-quality review, focused research-question development, visualization, interpretation, and practitioner-oriented communication.
I created a shared exploration spreadsheet covering five CIYJ data files, documenting variable definitions, initial quality checks, cleaning questions, and prioritized next steps. I then examined reported fear for safety against assault and fight rates, created a scatter plot, and found no clear linear relationship.
Personal Project — Google Data Analytics Capstone / Kaggle · Oct 2026
Completed an end-to-end Python/Kaggle analysis of Titanic survival, including missing-value checks, EDA, and feature engineering with FamilySize and IsAlone. I compared Logistic Regression and Random Forest using validation and 5-fold cross-validation. The improved Random Forest raised my Kaggle sco
Completed an end-to-end Python/Kaggle analysis of Titanic survival, including missing-value checks, EDA, and feature engineering with FamilySize and IsAlone. I compared Logistic Regression and Random Forest using validation and 5-fold cross-validation. The improved Random Forest raised my Kaggle score from 0.77511 to 0.78468, with mean CV accuracy of about 82.3%.
I completed an end-to-end analytical workflow using Python and Kaggle. I examined missing values, analyzed survival patterns by sex, passenger class, age, fare, embarkation port, and family size, and engineered features including FamilySize and IsAlone. I compared logistic regression and random forest models using a validation split and 5-fold cross-validation. The improved Random Forest model inc
Improved the Kaggle leaderboard score from 0.77511 to 0.78468 and achieved approximately 82.3% mean 5-fold cross-validation accuracy with Random Forest. The project identified key survival patterns across sex, passenger class, age, embarkation point, and family size while demonstrating practical skills in EDA, feature engineering, model validation, and data storytelling.
Ambrose Alli University · Nov 2015
For my MSc research in Medical Microbiology, I investigated antibiotic susceptibility patterns and plasmid profiles in multidrug-resistant Pseudomonas aeruginosa isolates from approximately 100 hospitalized patients with surgical-wound infections.
For my MSc research in Medical Microbiology, I investigated antibiotic susceptibility patterns and plasmid profiles in multidrug-resistant Pseudomonas aeruginosa isolates from approximately 100 hospitalized patients with surgical-wound infections.
I organized, cleaned, and interpreted the research data in Microsoft Excel while supporting antimicrobial susceptibility testing, plasmid-profile analysis, and scientific reporting. The project strengthened my capabilities in clinical microbiology, research documentation, data quality, and antimicrobial-resistance analysis.
I found that continuous expression of multidrug resistance associated with Pseudomonas aeruginosa was due to acquisition of resistant plasmid DNA.
Delta State University · Apr 2010
For my BSc research in Microbiology, I investigated plasmid-associated multidrug resistance in Pseudomonas aeruginosa isolates obtained from approximately 100 surgical-wound specimens. The study explored how plasmids may contribute to antimicrobial resistance in clinical isolates.
For my BSc research in Microbiology, I investigated plasmid-associated multidrug resistance in Pseudomonas aeruginosa isolates obtained from approximately 100 surgical-wound specimens. The study explored how plasmids may contribute to antimicrobial resistance in clinical isolates.
I maintained structured specimen and isolate records in Excel, compared antimicrobial susceptibility patterns, and interpreted plasmid-profile findings using microbiology methods. The project developed my foundation in clinical microbiology, research-data organization, laboratory investigation, and scientific interpretation.
I found that plasmid genes could course multidrug resistance in bacteria isolates.
Through the Google Data Analytics Professional Certificate and related training, I am building practical capabilities in data preparation, cleaning, analysis, visualization, and case-based problem-solving using business and healthcare-style datasets.
Through the Google Data Analytics Professional Certificate and related training, I am building practical capabilities in data preparation, cleaning, analysis, visualization, and case-based problem-solving using business and healthcare-style datasets.
I have completed guided exercises and practice projects using Excel, SQL, Tableau, Power BI, BigQuery, R, and introductory Python. This work has strengthened my analytical thinking, data-quality review, visualization, dashboard concepts, and ability to communicate findings clearly while the certificate remains in progress.
