PORTFOLIO
Real examples of turning messy data, repetitive work and unclear questions into something more useful.
AUTOMATION
THE PROBLEM
A data retrieval process required repetitive manual work to collect customer, account and transaction information.
WHAT I DID
Redesigned the process so data could be extracted and prepared much more efficiently.
THE RESULT
Reduced data retrieval from approximately 10 minutes per customer to around 1 minute for 100 customers.
REPORTING & DASHBOARDS
THE PROBLEM
Recurring reporting can become difficult to manage when information requires manual preparation and multiple views.
WHAT I DID
Turned recurring customer and transaction information into a more interactive reporting experience.
THE RESULT
Made recurring information easier to monitor, understand and analyse.
CUSTOMER ANALYTICS
THE PROBLEM
Having lots of customer information does not automatically mean you understand the different groups within it.
WHAT I DID
Analysed customer populations to identify meaningful differences between groups.
THE RESULT
Created a clearer understanding of different customer populations and how they could be analysed.
ANALYTICS & TESTING
THE PROBLEM
Analytical scenarios and rules need to be tested rather than simply assumed to work.
WHAT I DID
Performed testing, back-testing, scenario simulation and sensitivity analysis to evaluate different parameters.
THE RESULT
Identified weaknesses, gaps and opportunities to improve analytical effectiveness.
DATA QUALITY & VALIDATION
THE PROBLEM
When information moves between systems, inconsistencies can be difficult to spot but can affect reporting and analysis.
WHAT I DID
Validated data flows, checked scoring logic and compared information between source systems and analytical platforms.
THE RESULT
Identified data gaps and inconsistencies before they could affect downstream analysis.
THE COMMON THREAD
Whether the problem is reporting, customer data, repetitive processes or analysis, the goal is the same: turn information into something useful.
A NOTE ON THE WORK
Some professional projects involve confidential client and corporate data. The examples shown here therefore exclude proprietary information, sensitive figures and client-specific details.
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