matthew iduh ofikwu

I've supported university researchers and clinical teams as a freelance data analyst, turning raw medical research datasets into clear, decision-ready reports. My clinical background in optometry helps me translate healthcare findings for clinicians and non-technical stakeholders.

I analyzed a Digital Eye Strain study of 429 participants, identifying symptom-prevalence patterns, and evaluated a paracetamol versus ibuprofen clinical trial on intraocular pressure. I own engagements end to end, from clarifying the client's question and structuring data to selecting analysis methods and presenting results.

In a Cyclistic bike-share case study, I cleaned and analyzed more than 5.6 million trip records using Python and DuckDB, building an efficient local pipeline around limited hardware. I created Tableau dashboards that compared casual riders with annual members to inform membership-conversion strategy.

I'm comfortable working across SQL, Python, Tableau, Excel, and SPSS to turn business, product, and clinical data into practical recommendations. I also analyzed wellness-device data for Bellabeat, using activity, sleep, and habit trends to support product and marketing decisions.