Columbus, OH

• Care for 5 patients per shift on a 32-bed unit, with a 98% on-time medication administration rate in the last audit
• Respond to rapid response and code calls, and lead the handover for patients moved to the ICU
• Precept 8 new graduate nurses; 7 passed their 90-day review without extension
• Cut falls on the unit by 30% over a year by introducing hourly rounding with two colleagues

Dayton, OH

• Managed post-operative care for orthopaedic and general surgery patients
• Educated patients and families on wound care, medication and discharge plans, reducing 30-day readmissions on the unit
• Charted in Epic with accurate, timely documentation

Columbus, OH

Manchester

• Teach 5 classes (about 130 students) from Year 7 to Year 13
• Raised the share of Year 11 students achieving a GCSE maths grade 5 or above from 58% to 71% over three years
• Started a weekly problem-solving club with 24 members; two students reached the national Maths Challenge final
• Moved homework feedback to short weekly quizzes, which cut the time spent marking by a third

Stockport

• Taught Years 7 to 9 and coordinated the school's maths contest
• Designed catch-up sessions for students who had fallen behind

Manchester

Manchester

London

• Built a Power BI dashboard on 12 million order rows, replacing 6 manual weekly reports and saving about 10 analyst hours a week
• Analysed a checkout A/B test that found a 9% relative lift in conversion; the change shipped to all users
• Wrote the SQL models for customer lifetime value that marketing now uses to set acquisition budgets
• Documented 40 metric definitions so teams stopped reporting different revenue figures

London

• Cleaned and joined sales, stock and promotion data in SQL for the weekly trading meeting
• Found a pricing error in 3% of SKUs through a variance analysis, recovering an estimated £18,000 a quarter

London

Leeds

• Run the month-end close for 4 entities; shortened the close from 9 to 5 working days by standardising reconciliations
• Prepare monthly VAT returns and annual statutory accounts with no penalties in 5 years
• Reconcile intercompany balances of about £3 million a quarter and clear differences within the month
• Supported the external audit; the last audit closed with no adjustments above materiality

Leeds

• Kept the books for 15 small business clients, from invoices to payroll journals
• Migrated 8 clients from spreadsheets to cloud accounting software

Leeds

Birmingham

• Handle about 60 chats and calls a day with a 94% customer satisfaction score, above the team target of 90%
• Resolve 82% of contacts at the first reply by using a macro library I helped write
• Trained 6 new agents in the first month, who reached target handling time in 3 weeks
• Flagged a recurring delivery-address bug through ticket tags, which engineering fixed within a sprint

Birmingham

• Answered 80 inbound calls a day for a telecom client with an average handling time of 4 minutes
• Met the quality score target in 22 of 24 months

Birmingham

Brighton

• Exceeded the monthly sales target in 14 of 16 months, with a best month of 128% of target
• Raised the share of sales with a warranty or accessory from 22% to 37% by asking two simple questions at the till
• Handle about 40 customers a day, and returned or exchanged items with a 99% accurate till record
• Trained 4 seasonal staff on the product range before Black Friday

Brighton

• Advised customers on kitchen and small appliances and arranged displays that increased weekly sales in the area by 11%
• Counted stock weekly with fewer than 0.5% discrepancies

Brighton

Nottingham

• Tracked 120 daily deliveries in Excel and flagged late ones, which helped the team cut late deliveries by 15% in the period
• Built a simple dashboard of delivery times by route that the manager used in the weekly meeting
• Updated 300 supplier records and corrected 27 errors

Nottingham

• Served about 100 customers per shift while studying full time
• Closed the till with no discrepancy in 95% of shifts

Nottingham

First-class honours. Dissertation: forecasting inventory with moving averages, awarded a first.