ADELAIDE, SAData Analyst with 1+ year of industry experience and a Master of Data Science, skilled in SQL, Power BI, Excel and Python and in translating complex operational datasets into actionable business recommendations. Track record of finding a reminder change projected to keep BDT 0.87M a year in fees and cutting weekly reporting time by 74%.
Engineer turned data analyst, capped with a Master's degree in Data Science. Open any row for the details.
Found a reminder change that cut no-shows by 23% among the highest-risk patients, projected to keep BDT 0.87M a year, by evaluating a six-week pilot as an A/B test in SQL and Power BI.
Cut weekly reporting time by 74% (244 to 62.5 minutes) by automating data preparation in PostgreSQL.
Built Power BI dashboards with DAX and clinic, specialty and date filters, so the operations team could answer follow-up questions without an analyst.
73,692 appointments across 14 clinics, in one model built from 12 data sources. (Overview page of the PatientCare Power BI report)
Where do missed appointments concentrate across a 14-clinic network, and does a better reminder fix them? I unified 12 data sources and tested a six-week reminder pilot.
Heavy discounts cost $135K, almost half of the profit. (Overview page of the Discount Guardrails Power BI report)
What maximum discount should each product group allow? Every order line, analysed in T-SQL, with a what-if report for the Head of Sales.
$817.9K of revenue from 21,350 orders in 2015. (Executive page of the Slice & Co. Power BI report)
When does a pizza kitchen’s revenue come in, which pizzas earn it, and does staffing match demand? 21,350 orders and $817.9K of sales.
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