Recurring Reporting System
My ownership spans the recurring KPI cycle, from source checks and preparation to management summary and recurring questions.
Preparation reduced 35%, from about eight hours to five per cycle.
See the reporting systemI build recurring reporting, quality checks, and operating handoffs that hold up under review.
Three professional systems, each showing a different part of reporting and operations ownership.
Professional work leads. Technical and earlier work are labelled separately.
My ownership spans the recurring KPI cycle, from source checks and preparation to management summary and recurring questions.
Preparation reduced 35%, from about eight hours to five per cycle.
See the reporting systemAcross seven paid months, I collected and standardized three sources, led the quality recovery, and documented the client handoff.
163,229 consolidated records produced 141,228 analysis-ready records.
See the recovery caseFor a distributed cohort, I coordinated intake, team formation, progress visibility, blocker follow-up, submission, feedback, and reusable handoff.
35 participants, seven teams, and a reusable 16-phase process.
See the operations systemSynthetic portfolio project — not paid production experience.
A bounded Power BI and reporting-controls case with a documented model, 12/12 quality controls, 7/7 reconciliations, and a static PBIX.
12/12 controls · 7/7 reconciliations Inspect the technical case →Static technical evidence only. No live refresh, client, cloud, or production environment is implied.
Public-data analysis and earlier work remain useful when their chronology and limits stay explicit.
A public-data cleaning audit that accounted for 29,326 inputs, 27,348 clean records, and 1,978 repeated IDs.
A public-metadata audit with 14,644 clean repository rows and zero duplicate owner/repository identities.
An earlier SQL/PostgreSQL project retained as historical evidence, not as the ceiling of current work.
Reporting · dashboards · data quality · judgment
Decisions before decoration.
A practical look at the choices that make a dashboard useful before anyone discusses layout.
Read the featured article (opens in a new tab)Shows how choosing the wrong identifier can quietly distort a customer-level analysis.
Explains why the nearest prior period is not always the most useful benchmark.
A guide to stating what the evidence can support without overselling certainty.
The cases above come from current reporting work, a seven-month client engagement, and a distributed programme. These compact entries keep the setting and dates clear.
Owns recurring KPI reporting and supports programme operations for a remote education and career-development business.
Improved on-time reporting from about 85% to 98% across 50+ cycles.
Delivered a multi-phase data collection, standardization, recovery, and handover engagement.
Produced 141,228 analysis-ready records from three source platforms.
Publishes practical guidance on reporting, dashboards, data quality, and analytical judgment.