IEX data-prep automation
Schedulers clean a raw NICE IEX export by hand before every schedule; automating it cut my scheduling time per cycle by 70%.
My time per cycle −70%
- Excel
- Power Query
- VBA
- NICE IEX
01 / Profile · Workforce planning · Data analysis · Excel automation
Workforce planner turned analyst.
I analyse operations data and build Excel and Python tools that take the manual work out of planning. One of them cut my scheduling time by 70%.

Work projects are described in prose, with names and figures withheld. Anything with data uses public or synthetic data.
Schedulers clean a raw NICE IEX export by hand before every schedule; automating it cut my scheduling time per cycle by 70%.
My time per cycle −70%
Payroll, stakeholder presentations and schedule amendments were manual and repetitive; small tools built on one pattern cut them by 40–50%.
Time on these tasks −40–50%
Base volumes swing with the sporting calendar; a tool combining past volumes with upcoming events to support forecasters.
Progressed from on-camera presenting to owning scheduling and capacity planning for a high-volume live studio.
I started in live operations at Playtech Live in Riga as a game show host, then trained new presenters and ran the studio floor.
From 2021 I owned scheduling and capacity planning for the studio in EZShift, and that's where spreadsheets started turning into tools.
At bet365 in Malta I still schedule some teams, but most of my time now goes on ad-hoc analysis and on Excel tools (VBA, Power Query) that automate planning work.
I'm deepening my data skills with SQL and Power BI, and I write up my work here as case studies.
Off the clock: tracked gym training, running and non-fiction.