Biochemistry graduate with 3+ years turning complex operational data into executive-level intelligence. I build dashboards, automate workflows, and develop Python ERP systems — at the precise intersection of science, business, and technology.
Designed an interactive dashboard tracking 1,470 lab samples with fully automated KPI reporting — completion rates, failure rates, and turnaround time. A direct demonstration of laboratory performance monitoring capability.
Analysed $2.3M revenue and $286.4K profit across multiple regions. Uncovered 46.9% year-over-year sales growth and 12.5% profit margin — delivering strategic intelligence for C-suite decisions.
Built a CRM dashboard analysing 8,800 opportunities across a $10M revenue pipeline. Tracked win rates, client activity, and sector performance. Automated reporting mirroring tender and business development monitoring.
Explored global COVID-19 data using JOINs, CTEs, Temp Tables, Window Functions, and Aggregate Functions. Identified that 90% of case severity was concentrated in major nations vs minimal impact in smaller countries.
Developed a complete ERP system covering procurement, inventory tracking, HR and payroll, financial reporting, and sales automation — built end-to-end to digitise operations for businesses moving away from manual processes.
Investigated gross revenue drivers using Pandas, NumPy for statistical calculations, and Matplotlib for visualisation. Identified budget and production company as the strongest revenue predictors through correlation analysis.
Transformed raw housing data into analysis-ready format — standardised date fields, resolved nulls, split concatenated address columns, and removed duplicates, demonstrating enterprise-grade data quality practices.
Built a Python automation tool using BeautifulSoup and Requests to extract live product pricing from Jumia — replacing hours of manual price research with a single script that delivers clean, structured competitive intelligence.
Built an interactive Power BI report comparing salaries, satisfaction, and career paths across data roles. Applied Power Query for ETL, established table relationships, and built dynamic comparative charts.
End-to-end Excel project: cleaned raw data, applied Pivot Tables for aggregation, then built an interactive dashboard with buyer demographic insights and regional sales breakdowns.
Cleaned Seattle AirBnB housing data in Excel then built Tableau visualisations exploring pricing patterns by neighbourhood, occupancy trends, and seasonal variation. Full profile on Tableau Public.
Designed Python automation workflows that replace repetitive business tasks — auto-generating reports, routing data between systems, triggering smart notifications, and replacing manual data collection with intelligent pipelines.
"I don't just analyse data — I build the systems that make data useful for the people who need it."
I started as a Biochemistry graduate trained to observe patterns, test hypotheses, and document findings with precision. That scientific discipline is the foundation everything I do in data is built on — rigour is not a habit, it is how I think.
Three years working as a Junior Data Analyst at Pax Corporation sharpened my ability to turn messy operational data into clean, decision-ready intelligence. I built dashboards, automated reports, managed databases, and made performance visible to the people who needed it.
Today, working as a Laboratory Assistant at Hensard University Hospital, I bring those same standards into a live clinical environment — sample documentation, testing workflows, performance tracking, all handled with the same accuracy that data work demands.
What most CVs don't capture is what I build outside of job titles: a fully functional Python ERP system, AI automation pipelines, web scrapers, and data workflows. I build because I find it meaningful — and because the gap between a good analyst and a great one is the ability to engineer, not just report.
Four tailored versions — each written for a specific role type. Download the one that fits the position you are considering.
Excel, Power BI, SQL, Python (Pandas, NumPy, Matplotlib), Tableau. Best for Data Analyst, BI Analyst, and Reporting positions.
↓ Download CVLab operations, sample handling, SOP compliance, and data reporting. For Lab Technician and Data Support roles.
↓ Download CVCRM tracking, documentation management, tender administration, and operational coordination for commercial environments.
↓ Download CVPython ERP systems, AI automation workflows, web scraping, and data engineering for technology-forward positions.
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