Julia Mbamarah

I’m a detail-oriented Data Analyst with 5+ years of remote experience delivering reliable data collection, cleaning, preprocessing, analysis, and visualisation. I transform raw datasets into clear, actionable insights that directly support business decision-making.

Across my roles, I’ve built and maintained automated data entry and ingestion pipelines—scraping large-scale data from multiple sources, validating records, and standardising formats to improve accuracy. At Procogia, I built automated data entry pipelines to ingest and validate incoming records, reducing manual effort and improving data accuracy by over 30%.

I use Python (Pandas, NumPy, Matplotlib, Scikit-Learn) and SQL/MySQL to handle complex datasets, run statistical analysis, and develop predictive models. At Adastra, I designed a predictive attrition model in Jupyter Notebook and conducted A/B testing to deliver insights that contributed to a measurable reduction in employee attrition.

I’m especially motivated by communicating results to non-technical stakeholders through strong reporting and interactive Tableau dashboards, enabling real-time monitoring. I also bring hands-on expertise in web scraping with BeautifulSoup, Scrapy, and Selenium, ensuring data quality through structured workflows and documented, version-controlled repositories.