I'm a results-driven data analytics professional with a Health Sciences background. I combine clinical insight with hands-on skills in Python, Power BI, SQL, and Excel to turn data into clear, actionable stories that support public health decisions and operational improvements. In my work, I design data warehouses, build predictive models, and create interactive dashboards to help healthcare teams and policymakers identify risks and opportunities. I value collaboration, continuous learning, and presenting complex findings in a way that is accessible to non-technical stakeholders.…

Anastasia Agwata

I'm a results-driven data analytics professional with a Health Sciences background. I combine clinical insight with hands-on skills in Python, Power BI, SQL, and Excel to turn data into clear, actionable stories that support public health decisions and operational improvements. In my work, I design data warehouses, build predictive models, and create interactive dashboards to help healthcare teams and policymakers identify risks and opportunities. I value collaboration, continuous learning, and presenting complex findings in a way that is accessible to non-technical stakeholders.…

Available to hire

I’m a results-driven data analytics professional with a Health Sciences background. I combine clinical insight with hands-on skills in Python, Power BI, SQL, and Excel to turn data into clear, actionable stories that support public health decisions and operational improvements.
In my work, I design data warehouses, build predictive models, and create interactive dashboards to help healthcare teams and policymakers identify risks and opportunities. I value collaboration, continuous learning, and presenting complex findings in a way that is accessible to non-technical stakeholders.

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Language

English
Fluent
Igbo
Fluent

Work Experience

Hospital Aid at Nurse Maude Hospital
January 1, 2022 - June 1, 2025
Supported elderly and palliative care patients with compassion and precision; Maintained accurate electronic health records while ensuring confidentiality; Collaborated with multidisciplinary teams to improve quality of care and documentation accuracy; Contributed data for audit reports that informed service improvement
Support Worker at Brackenridge Services Ltd
January 1, 2018 - November 9, 2025
Provide individualised support for people with disabilities, tracking progress and wellbeing outcomes; Record and review care data to identify changes and patterns in client needs; Administer medication safely and maintain up-to-date digital records; Communicate clearly with families and professionals to improve care plans
Teacher at Government Secondary School, Kwara Namoda
January 1, 2012 - January 1, 2012
Taught science subjects and maintained academic records
Supervisor at Nigerian Census Commission
January 1, 2012 - January 1, 2012
Oversaw data collection teams and ensured accuracy during field operations
Supervisor at Alfo Beauty Salon
January 1, 2012 - January 1, 2012
Managed daily operations, staff performance, and customer service
Retail Assistant at Uche’s Convenience Store
January 1, 2012 - January 1, 2012
Maintained cash records, customer support, and product data entry
Caregiver at Somerfield House Rest Home
January 1, 2012 - January 1, 2012
Provided physical and emotional care for residents, keeping daily records for nursing staff
Supervisor at Alflo Beauty Salon
January 1, 2012 - January 1, 2012
Managed daily operations, staff performance, and customer service
Teacher at Government Secondary School, Kwara Namoda
January 1, 2005 - December 31, 2012
Taught science subjects and maintained academic records.
Supervisor at Nigerian Census Commission
January 1, 2005 - December 31, 2012
Oversaw data collection teams and ensured accuracy during field operations.
Supervisor at Alo Beauty Salon
January 1, 2005 - December 31, 2012
Managed daily operations, staff performance, and customer service.
Retail Assistant at Uche’s Convenience Store
January 1, 2005 - December 31, 2012
Maintained cash records, supported customers, and entered product data.
Caregiver at Somerfield House Rest Home
January 1, 2005 - December 31, 2012
Provided physical and emotional care for residents, maintaining daily records for nursing staff.

Education

Graduate Certificate in Information Technology (AI Pathway) at Future Skills Academy
September 1, 2024 - January 1, 2025
Master of Health Sciences (Health Information Management) at University of Canterbury
January 1, 2016 - January 1, 2020
Postgraduate Certificate in Health Sciences at University of Canterbury
January 1, 2016 - January 1, 2016
Bachelor of Science in Pure and Industrial Chemistry at University of Nigeria
January 1, 2004 - January 1, 2004
Graduate Certificate in Information Technology (AI Pathway) at Future Skills Academy
January 11, 2030 - January 1, 2025
Master of Health Sciences (Health Information Management) at University of Canterbury
January 11, 2030 - January 1, 2020
Postgraduate Certificate in Health Sciences at University of Canterbury
January 11, 2030 - January 1, 2016
Bachelor of Science in Pure and Industrial Chemistry at University of Nigeria
January 11, 2030 - January 1, 2004

Qualifications

NZ Full Driver's License
January 11, 2030 - November 9, 2025
First Aid Certified
September 1, 2025 - November 9, 2025
no end date (automatic)
Certified Medication Administration (Brackenridge)
January 11, 2030 - November 9, 2025
Health and Wellbeing Level 3
January 11, 2030 - November 9, 2025
NZ Full Driver's License
January 11, 2030 - December 19, 2025
First Aid Certified
January 11, 2030 - December 19, 2025
Certified Medication Administration (Brackenridge)
January 11, 2030 - December 19, 2025

Industry Experience

Healthcare, Education, Professional Services, Software & Internet, Life Sciences, Retail, Government, Non-Profit Organization
    paper Report for Hortianalytics Project
    I co-led a national data science project called Hortianalytics, which analysed more than a decade of New Zealand’s fruit export data to uncover trade patterns and forecast future trends. The project focused on six major horticultural products including kiwifruit, avocados, apples, grapes, oranges, and strawberries, using data from the UN Comtrade database. I integrated and transformed over 200,000 records using Excel Power Query and Python (Pandas) to ensure clean, reliable data for analysis. I performed statistical inference tests such as t-tests and ANOVA to identify significant differences in export performance across products and countries. Using Power BI, I designed dynamic dashboards for six stakeholder groups such as policymakers, exporters, and trade agencies. These dashboards included visual comparisons of trade volumes, export values, price per kilogram, and trade balance trends from 2013 to 2024. The project also involved forecasting to 2029 using Python-based time series analysis combined with Power BI visualisation to predict future export growth and market share. The findings highlighted opportunities for export diversification and provided insights for policy planning in the horticulture sector. This project demonstrates my ability to manage large datasets, apply statistical and predictive methods, and communicate results through interactive dashboards that support strategic decision-making.…
    paper Powerpoint for Hortianalytics Project
    I co-led a national data science project called Hortianalytics, which analysed more than a decade of New Zealand’s fruit export data to uncover trade patterns and forecast future trends. The project focused on six major horticultural products including kiwifruit, avocados, apples, grapes, oranges, and strawberries, using data from the UN Comtrade database. I integrated and transformed over 200,000 records using Excel Power Query and Python (Pandas) to ensure clean, reliable data for analysis. I performed statistical inference tests such as t-tests and ANOVA to identify significant differences in export performance across products and countries. Using Power BI, I designed dynamic dashboards for six stakeholder groups such as policymakers, exporters, and trade agencies. These dashboards included visual comparisons of trade volumes, export values, price per kilogram, and trade balance trends from 2013 to 2024. The project also involved forecasting to 2029 using Python-based time series analysis combined with Power BI visualisation to predict future export growth and market share. The findings highlighted opportunities for export diversification and provided insights for policy planning in the horticulture sector. This project demonstrates my ability to manage large datasets, apply statistical and predictive methods, and communicate results through interactive dashboards that support strategic decision-making.…
    paper Dashboard for hortianalytics project
    I co-led a national data science project called Hortianalytics, which analysed more than a decade of New Zealand’s fruit export data to uncover trade patterns and forecast future trends. The project focused on six major horticultural products including kiwifruit, avocados, apples, grapes, oranges, and strawberries, using data from the UN Comtrade database. I integrated and transformed over 200,000 records using Excel Power Query and Python (Pandas) to ensure clean, reliable data for analysis. I performed statistical inference tests such as t-tests and ANOVA to identify significant differences in export performance across products and countries. Using Power BI, I designed dynamic dashboards for six stakeholder groups such as policymakers, exporters, and trade agencies. These dashboards included visual comparisons of trade volumes, export values, price per kilogram, and trade balance trends from 2013 to 2024. The project also involved forecasting to 2029 using Python-based time series analysis combined with Power BI visualisation to predict future export growth and market share. The findings highlighted opportunities for export diversification and provided insights for policy planning in the horticulture sector. This project demonstrates my ability to manage large datasets, apply statistical and predictive methods, and communicate results through interactive dashboards that support strategic decision-making.…
    paper Stroke Risk Analysis
    I developed a full data analytics solution to identify and visualise the key factors influencing stroke risk. The project used a structured data warehouse design, statistical inference, and predictive modelling to provide both analytical and practical insights for healthcare planning. I cleaned and modelled the dataset using Python (Pandas, Scikit-learn) and performed statistical tests including Chi-square, t-tests, and ANOVA to confirm relationships between risk factors such as hypertension, smoking, and glucose levels. A logistic regression model was then built to predict the likelihood of stroke based on demographic, lifestyle, and medical variables. The results were visualised through an interactive multi-page Power BI dashboard that included KPI cards, demographic breakdowns, and feature-importance charts. The dashboard allowed users to quickly identify high-risk groups and understand which factors had the greatest impact on stroke outcomes. This project demonstrates my ability to combine statistical analysis, machine learning, and data visualisation to produce actionable insights that can support healthcare decision-making.…