Anshul Marele
DATA ✧ ANALYTICS ✧ AUTOMATIONAI-Amplified

Turning complexity into intelligence.

Anshul Marele

Convert messy business data and ambiguous problems into clear, actionable decisions leaders can trust — using analytics, automation, and compelling storytelling to make the impact visible.

How I work
  • Don't compete with AI at writing code — orchestrate it, and know when not to trust it.
  • Problem → Plan → Design → Build → Validate → Improve → Deliver.
  • Good solutions come from clarity, structure working, business sense, curiosity and relentless execution, not code alone.
  • Built to survive the handover — solutions the next person can actually maintain.

Case in point — this page took 4 days, built with no prior web-development background, using the exact process above.

LinkedIn Recent Activity

Anshul Marele, Senior Analytics and BI Leader based in Bengaluru

Anshul Marelein• You

Data, Analytics, Strategy | Ex-Agraga, Blackbuck, Jindal | Data Analytics IIM-L | Strategic Cost Mgmt. IIM-A

•••

I had never written a line of JavaScript, Astro, HTML, or CSS.

I have built my portfolio site in four days — with a working AI-assisted scoping form, prompt-injection handling, signed & rate-limited requests, and bot protection, all researched and built from scratch.

15 years ago, I started in FP&A. Somewhere along the way I started learning SQL and Python — and that same instinct just shipped numerous projects on several tools/technologies.

Different tools every time. Same process:

  1. Break the problem down
  2. Build in the right order
  3. Catch my own mistakes before they ship
  4. Continuous improvement

That's what I'd want any team to know before the tool-stack question comes up: the tools change — and now more frequently than ever. The way I work doesn't.

Have a look — anshul-marele.pages.dev. Open to full-time roles — and genuinely open to feedback.

#BusinessIntelligence#DataAnalytics#AI#FPandA

Technical abstract — portfolio architecture

Open in a new tab ↗
Portfolio technical abstract, page 1: System architecture and service boundaries

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WORKFLOW DEVELOPMENT

A Unified Workflow Demo

I have developed this complete reconciliation workflow to address a problem outlined in a brief, five-sentence description.

Developing an effective solution relies on experience, a structured methodology, and thorough end-to-end execution. Creating a robust workflow requires mapping out the entire process, anticipating requirements, and planning for practical challenges.

The below description and video is a high-level overview demonstrating an auditable, AI-assisted reconciliation workflow designed for efficiency, flexibility, simplicity, transparency, and human oversight.

ONE CONTROLLED WORKSPACE

From source files to a decision-ready reconciliation

A flexible control for finance teams that replaces disconnected spreadsheets, repeated checks, and file-by-file searching.

  1. Configure once — company, sources, vendor scope, matching rules and validation gates.
  2. Validate before matching — required fields, GST and GSTIN checks, duplicates and amount conflicts.
  3. Trace every answer — return from a report to source-table and source-row evidence.
  4. Keep decisions human-owned — visible review and approval for unclear matches and mappings.
  5. Use AI safely — evidence explanation while deterministic controls retain authority.
  6. Share the result easily — dashboards, evidence, workbooks and review-ready communications.
AI capabilities — controlled today, extensible tomorrow
  • Evidence-bound answers
  • Natural-language data Q&A
  • Validated query plans
  • Local-model choice
  • Ambiguity explanation
  • Anomaly prioritisation
  • Independent cross-checks
  • Client narrative drafts
  • Audience-aware writing
  • Human review routing
  • Source-row citations
  • Reason-for-result summaries
  • Risk and exception triage
  • Suggested next actions
  • Policy-aware guardrails
  • Prompt, response audit trail
  • Model time and length limits
  • Warm local-model execution
  • Future: multilingual assistance
  • Future: trend forecasting
Data engineering foundations
  • Typed source ingestion
  • Schema-aware field mapping
  • DuckDB analytical execution
  • Validation and quality gates
  • Deduplication controls
  • Portable evidence records
  • Run-scoped audit logs
  • Export-ready data products

Open a supporting card below to explore the workflow further.

VIDEOShort videoWatch the reconciliation workflow overview on YouTube.Open in a new tab ↗ARCHITECTUREHigh-level architectureOpen the interactive reconciliation-control technical workflow.Open in a new tab ↗

CONCEPTUAL PRODUCT CASE STUDY

Next-Generation Credit Card Security & Intelligence

Credit-card statements have changed little in more than a decade: the same rows, columns and monthly reconciliation. I spent time thinking through what a next-generation credit-card experience could look like from both a customer's lens and a bank's data lens — reimagining the experience around fraud confidence, controllable spending and customer-ready intelligence.

  • Fraud confidence: device and location correlation to make each transaction easier to recognise.
  • Rewards assurance: a running rewards ledger that removes a separate audit exercise.
  • Custom transaction tagging for effortless expense reports and behavioural analysis.
  • Granular controls for merchant categories and personalised alert thresholds.
Download case study PDF
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CAPABILITIES

From complexity to clarity—then momentum.

01

Problem Framing & Strategy

  • C-suite & founder advisory — pricing, growth and commercial strategy
  • Root-cause diagnosis of revenue leakage, margin erosion & pricing gaps
  • New product / business-model design — pricing logic, cost structuring
  • Enterprise process & data-flow architecture — mapping dependencies before anything gets built
  • OKR / KPI framework design — linking strategy to measurable outcomes
See More
  • AI-readiness assessment — is this actually an AI problem, or a data-quality problem first
  • Fractional / embedded analytics leadership — senior ownership without a full-time hire
02

Data & Decision Intelligence

  • End-to-end BI builds — data modeling, star schema, Power BI / Tableau / Looker
  • Messy-data cleanup, validation & complex reconciliation pipelines, at millions-of-records scale
  • Fraud & risk-detection models (Python)
  • Customer analytics — cohort, cluster & panel analysis, retention & pricing sensitivity
  • Forecasting & ML models — demand, inventory, marketing-mix ROI
  • Legacy-tool migration — Excel/Sheets chaos into a governed, single-source-of-truth BI stack
03

Interactive Storytelling

  • Executive dashboards built for the decision, not just the data
  • Real-time monitoring & alerting — issues surfaced before someone has to ask
  • Multi-audience KPI design — board-level scorecards down to operational views
  • Variance & trend storytelling — budget vs. actual, QoQ shifts, mix analysis
See More
  • Self-serve reporting — teams stop waiting on an analyst for every question
  • AI-generated narrative & commentary sitting alongside the numbers
04

AI, Workflow & Process Automation

  • Agentic AI workflows for scenario evaluation (pricing, risk, market) with minimal manual input
  • AI-accelerated BI/DAX/model development — Claude and Copilot-class tools inside the build process itself
  • Power Automate + Python automation of repetitive reporting & reconciliation tasks
  • Automated error-checking & exception alerts, before issues reach a report
  • Manual-process re-engineering into governed, automated pipelines; User Interface development
  • Systems evaluation & rollout (accounting/ERP-class tools) with minimal business disruption
Explore the Credit Card Ideas case study — tangible proof of workflow optimization and strategic business analysis.

Hire me for

FREELANCECONSULTINGLike You need a specialist to solve a defined problem.Or From ambiguous data and manual work to a credible, usable result.

From messy problem to trusted insight.

Bring the ambiguous brief, fragmented data or manual process. I will turn it into a useful, credible solution with a clean handover.

How I work with you

  1. Clarify the decision, the audience and what success must look like.
  2. Design and build the smallest useful solution with AI, data and automation.
  3. Validate it with the people who will use it, then hand it over clearly.

What you receive

  • Trusted analysis and decision-ready insight.
  • Practical automation that reduces repetitive work.
  • A clear story, dashboard or tool people can use independently.

Built responsibly: Data security and privacy are considered from the beginning, with access and sharing kept proportionate to the work.

Discuss a freelance project →
FULL-TIMEPERMANENT ROLELike You need an owner who can create sustained impact.Or Someone who can align people, data, decisions and delivery over time.

Build durable impact, not one-off output.

I connect business context, people, data and delivery so a useful idea becomes a capability the organisation can rely on.

How I create impact

  1. Understand the business context, stakeholders and decisions that need to improve.
  2. Create alignment around a practical plan, then build with disciplined execution.
  3. Validate adoption, strengthen the operating rhythm and improve what matters.

What changes

  • Better decisions through trustworthy, accessible insight.
  • More efficient processes through thoughtful automation.
  • A stronger bridge between business needs, data and technology.

Built responsibly: I treat data security, privacy and responsible AI as part of quality—not as a final checklist.

Discuss a full-time role →View Resume ↓

Take their word, people love working with me.

“Anshul is very enthusiastic towards learning and exploring new things, active team member and a wonderful person.”
SHARAVANAN B ↗Chartered Accountant
“I found Anshul proficient in Business Intelligence and Analysis. He was always sharp and one of the very active participants in projects assigned by IIM Lucknow.”
AJEET GOPALAKRISHNAN ↗Finance Leader and Business Strategy
“It was my pleasure to work on an analytics project with Anshul. He is an active team player with an analytical mindset.”
PRASANJIT DAS ↗Finance & Digital Transformations
“I have always found Anshul to be enthusiastic about learning and acquiring new skills.”
AVITA SHARMA ↗AI & Analytics Leader

EMPLOYMENT RECOGNITION

Selected Appreciations & Recognitions

A selection of letters from past employments — not exhaustive.

Agraga — Appreciation letter · 2025

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Tell me what needs clarity, momentum or a better way forward.

Developed by: Anshul Marele