My foundation is in analytics. My work increasingly connects the whole system.
I’m a data professional with a career spanning FIS, DecisionTree and EY since 2016. I turn business requirements into dependable reporting, connected pipelines and, more recently, structured AI workflows.
I like understanding what happens between the parts: how a business question becomes a metric, how an API response becomes useful data, and how an AI tool fits into a working application.
Operations to analytics
Data & integrations
Enterprise BI & applied AI
Some of the most interesting problems live where information changes shape. That is the thread connecting my work in reporting, integration and applied AI.
HOW I APPROACH MY WORKBI and analytics engineering · Data integration · ICT business and systems analysis · Applied AI integration
A closer look at what I contributed, the constraints I worked within and what each piece of work demonstrates.
Rebuilding reporting without losing the business meaning behind the numbers.
Rebuilt and validated 110+ Qlik reports, reconciled metric logic and supported UAT and cutover readiness within a wider 700+ asset programme.
Semantic modelling, metric reconciliation and delivery through stakeholder acceptance.
Connecting disparate data sources to a dependable reporting workflow.
Built ingestion and ETL across 50+ source and connector types; translated requirements into schemas, mappings and validation rules.
API integration, warehouse thinking, troubleshooting and reporting continuity.
A local workspace for AI-assisted editorial work, with durable context and content-specific approvals.
Developed Python/SQLite workflow state, React and MCP interfaces, exact-content approvals and independent editorial review roles.
Durable state, controlled tool interfaces and purposeful use of AI and subagents.
Strategy engineering that distinguishes a proposed action, a reviewed artifact and runtime readiness.
Directed AI-assisted development of shared contracts, explicit review decisions, validated exports and a runtime inspection foundation.
Architecture across interfaces and packages, schema discipline and bounded specialist-agent work.
A persistent applicant workspace connecting guided intake, preparation tasks, reports and paid access.
Built saved intake, conditioned checklists, versioned report snapshots and pathway-scoped entitlements with server-side payment reconciliation.
Full-stack workflow design, ownership boundaries, content provenance and access control.
Enterprise work is described without client data. Only the open-source project has a public repository link; proprietary source remains private.
My career has expanded from operational problem-solving into analytics, data integration and enterprise delivery. Each step has added another part of the system to understand.
Analytics, BI & Data Solutions
Enterprise analytics with a growing focus on agentic AI integration.
Senior Data Analyst · Systems & Integrations
Connecting marketing platforms, data warehouses and decision-ready reporting.
Estimated impact: 30–40% reduction in source-to-dashboard turnaround, as recorded in my résumé.
Senior Analyst · Business Analytics & Operational Reporting
A practical grounding in operations, customers, team delivery and the decisions reporting needs to support.
2017 Pioneer Award
2018 Transformative Solutions Award
2019 Star of Innovation in Business Intelligence
Microsoft Certified
Microsoft Certified
Digital analytics and advertising foundation
SRM University, India
A tool list is only part of the picture. Here is where my experience is established, how I apply it and where independent builds are extending that foundation.
| Area | How I apply it | Representative tools |
|---|---|---|
| Business intelligencePROFESSIONAL FOUNDATION | Translate stakeholder questions into governed KPIs, semantic models and reporting that reconciles. | Power BI, DAX, Power Query, SQL, Tableau, DOMO, Qlik, Looker Studio |
| Data & integrationPROFESSIONAL FOUNDATION | Connect source capabilities, ingestion logic, warehouse models, data-quality checks and reporting needs. | SQL, ETL/ELT, API ingestion, Azure Data Factory, Synapse, BigQuery, Redshift, MySQL, Alteryx, Talend |
| Applied AI integrationCURRENT PROFESSIONAL WORK | Build Python plugins and structured tool contracts; contribute to agent execution and .NET integration flows. | Python, MCP, Microsoft Foundry, canonical JSON, schema validation, dynamic prompts |
| Application engineeringINDEPENDENT PRODUCT WORK | Build connected workflows, shared schemas, ownership boundaries, persistence and guarded state transitions. | Next.js, React, TypeScript, PostgreSQL, Prisma, SQLite, Zod |
| Business & delivery analysisACROSS THE CAREER | Connect requirements, process mapping, documentation, acceptance testing and production support. | BRD/FRD/SDD, user stories, KPI definitions, data dictionaries, UAT, defect triage |
I use AI-assisted development to extend what I can build. My work is in defining the problem, connecting the components, setting task boundaries and reviewing the behaviour that results.
In SocialMedia-Plus, content fingerprints connect approval to the actual draft, assets and destination. Changed content needs the corresponding approval.
Stockey separates review decisions, generated artifacts and runtime checks. Compatibility, integrity and stale context are treated as distinct concerns.
MyVisaFlow connects applicant ownership, pathway context and paid entitlements. Payment reconciliation updates the appropriate workspace access.
My strongest foundation is analytics and data delivery. Application engineering and applied AI are areas I am extending through current integration work and independent builds. Project studies distinguish implemented behaviour from prototypes and planned features.
Based in New Delhi and exploring opportunities in Germany and Australia. I’m interested in teams that need someone who can connect business requirements, data depth and practical implementation.
Reporting modernisation, semantic models, metric reconciliation and stakeholder acceptance.
Evidence: EY BI modernisationSource mapping, API ingestion, ETL, validation and dependable source-to-dashboard workflows.
Evidence: DecisionTree integration deliveryRequirements, process mapping, specifications, data dictionaries, UAT and operational handover.
Evidence: work across EY, DecisionTree and FISPython tools, MCP interfaces, canonical JSON contracts and agent workflows connected to applications.
Evidence: current EY work and independent buildsGerman Opportunity Card approved and valid for job search. Full-time employment is subject to the appropriate employment residence permit.
Positive ACS skills assessments across five ICT occupations. Open to employer-sponsored or eligible migration-pathway opportunities.
An ACS assessment is a skills credential, not work authorisation.
English · Hindi · Punjabi
PTE Superior score
Share the team’s context, the problem you’re solving and the experience you need. I’m happy to discuss where I could contribute.