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Portfolio · Data & Analytics at Accenture

I turn messy CRM data into decisions leaders trust.

Data & Analytics consultant at Accenture. I work with revenue teams on Salesforce implementations, Power BI cockpits, data-quality programs and automations. This site is a portfolio of that work.

See the workAbout me

Working across this stack

  • Salesforce CPQ
  • Sales Cloud
  • Service Cloud
  • Power BI
  • DAX
  • PowerApps
  • SharePoint Lists
  • Power Automate
  • Fluxicon Disco
  • Python
What I work on

Four disciplines, one thread: decisions leaders can defend.

The work spans implementation, analytics, data quality and process discovery — usually in combination on the same account.

Salesforce Analytics

Pipeline models, forecasting, stage audits and custom reporting that scales beyond the standard Salesforce toolkit.

  • dbt model on SFDC
  • Forecast scorecard
  • Stage-audit policy

Power BI

Executive cockpits, semantic models, and DAX that answer the questions on the agenda — not just the ones in the data.

  • Star schema
  • Governed measures
  • RLS rollout

CRM Data Quality

Quantify the mess, set an index, assign owners, and build the automations that keep it clean in production.

  • DQI scoreboard
  • Dedup & enrichment
  • Ops rhythm

Revenue Ops Enablement

From spreadsheets to governed pipelines — so board numbers are trusted and teams get their week back.

  • Metric contracts
  • Self-serve layer
  • Runbooks

Process Mining

Discover how processes actually run — not how the handbook says. Event-log analysis with Fluxicon Disco to surface bottlenecks, rework loops, and margin-eating variants.

  • Event log
  • Variant map
  • Bottleneck report
Selected work

Case studies, not screenshots.

Each engagement written up as the sponsor would tell it: problem, data, solution, impact.

All work
Live preview

A dashboard designed around decisions, not charts.

Filter by region to see how a well-modelled pipeline reveals where revenue really comes from — and where it silently stalls.

revenue-cockpit · v2.4
Open pipeline
€8.1M+12.5%

vs. previous month

Closed won (YTD)
€11.7M+18.4%

vs. plan

Win rate
28%+2.1pp

trailing 90 days

Stalled pipeline
€3.8Mflagged

no activity in 21d

Pipeline vs. Closed-Won

Last 7 months · € millions

Pipeline Won
Oct
Nov
Dec
Jan
Feb
Mar
Apr

Pipeline momentum

Rolling trend

Insight surfaced

Pipeline up 12.5% MoM across regions. €3.8M is flagged as stalled — 62% of it sits with 9 reps who missed activity SLAs this month.

See the case study

Figures illustrative. Real engagements ship production dashboards with governed data and signed-off definitions.

How engagements run

A 6-week, fixed-scope shape.

Most of the work on this site followed the same shape: scoped to end, named deliverables, week-by-week cadence, hand-off the team owns.

  1. Week 101

    Decision map

    Interview sponsors, map every question the deliverable has to answer, and agree the success metric before touching data.

  2. Week 2–302

    Data contract

    Profile the source systems, quantify quality, and lock definitions with the people who own the upstream fields.

  3. Week 3–503

    Build & test

    Incremental models, governed measures, and unit tests on every KPI. Nothing ships without a test.

  4. Week 5–604

    Handover

    Docs, runbook, and a training session. The team owns it on Monday — a 2-week warranty follows.

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