Available to join immediately · Bengaluru, India

From messy commercial data to trusted insights—and the interactive stories that move decisions.

I help leadership teams turn unreliable, fragmented data into decision systems: clean models, credible metrics, and clear narratives people can act on.

Seeking: Senior Analytics Manager · BI Developer · Senior Financial Analyst · Analytics Consultant

Portrait of Anshul Marele
Analytics with commercial consequence.
15+years turning data into business decisions
INR 3.75M+quantified savings and loss prevention
400+hours saved per month through automation
5Exceeded Expectations ratings

The operating model

Analysis is only useful when people trust it enough to act.

I work at the point where commercial ambiguity becomes an executable decision: from raw data and process gaps, through rigorous models, to an interactive story that leadership can use.

01

Make data trustworthy

Data quality, reconciliation, governance, and single-source-of-truth design.

02

Find the decision

Pricing, customer, risk, and operational analysis that exposes the real lever.

03

Make it usable

Executive dashboards, workflow automation, and decision narratives built for action.

Selected impact

Four systems built for consequential decisions.

Public claims are traceable to the approved résumé. No sensitive datasets, documents, or proprietary methods are shown.

AgragaPricing & profit intelligence
4%+ongoing profit leakage prevented

Diagnosed revenue gaps, built proactive monitoring, and shaped dynamic LCL pricing and cost controls.

  • ~7% higher returns
  • 65% faster decision cycle
  • 11+ workflow automations
PricingPower BILooker StudioAI workflows
Evidence: RES-001
BlackbuckRetention & performance analytics
12%improvement in customer retention

Used customer analysis and experimentation to identify retention drivers, then automated reporting workflows.

  • 95% less reporting time
  • 110+ hours saved/month
  • 11% payroll-cost reduction
SQLA/B testingApps ScriptCustomer analytics
Evidence: RES-001
Bakersville IndiaForecasting & operating system
70%reduction in stockouts

Combined forecasting, inventory planning, governance, and automation to make operations more predictable.

  • 36% faster fulfilment
  • 300+ hours saved/month
  • 9 automated tasks
PythondbtPower AutomateForecasting
Evidence: RES-001
Jindal WorldwideRisk, data quality & cost control
99.5%data accuracy achieved

Built fraud-risk and reconciliation systems that made financial data reliable enough for confident action.

  • 80% fraud detection rate
  • INR 3.75M+ savings/loss prevention
  • 18 process gaps resolved
PySparkSQLPythonPower BI
Evidence: RES-001

How I engage

  1. 01

    Frame the decision

    Identify the commercial question, decision owner, constraints, and the signal that would change the outcome.

  2. 02

    Build the trust layer

    Reconcile the data, make definitions explicit, and create a model stakeholders can challenge and understand.

  3. 03

    Turn insight into movement

    Deliver the dashboard, workflow, or narrative that makes the next action obvious—and measurable.

Start a conversation

Have a messy problem worth making clear?

For permanent analytics leadership roles or focused consulting work, I’m ready to talk.