Kumud Khandelwal

Senior Data & BI Consultant with 13+ years of experience turning complex data into actionable business decisions in delivering operational analytics and business intelligence solutions using Microsoft Fabric, Power Platform, and AI Adoption (Copilot). Specialized in stakeholder engagement, requirements gathering, and dashboard design, with proven experience building semantic models, defining KPIs, and enabling data storytelling for enterprise decision-making. Strong track record driving user adoption, UAT cycles, and change management across cross-functional teams.

Track record of measurable delivery: 700+ user Copilot adoption programme, ~30% faster operational resolution via ServiceNow analytics via Power BI dashboards, ~50% reduction in reporting errors through enterprise BI governance, over 40% performance improvement and faster data processing via data Fabrication (Fabric adoption). Currently seeking a senior/ lead role at the intersection of Data, Analytics, AI, and business transformation.

Independent Consultant – MS Fabric and AI Adoption - Self-Directed - Paris, France

(2025-06)

• Actively exploring consulting mandates combining Data, BI, and AI adoption for mid-to-large organisations.
• Strengthening expertise in Microsoft Fabric, AI-driven analytics, and Power BI storytelling, focusing on operational analytics and enterprise use cases
• Building hands-on solutions integrating Fabric, Dataverse, and Power BI to simulate real-world business scenarios.
• Led migration and ETL modernization initiatives, by re-engineering legacy SSRS/SSAS/ADF logic into Fabric pipelines and implementing scalable connectors for ERP, SaaS, and APIs, resulting in improved data consistency and ~40% reduction in manual data handling.
• Established CI/CD and DevOps practices for data engineering, by implementing Git-based version control and data pipelines with automated deployments, testing, and documentation, resulting in ~50% reduction in release errors, faster deployment cycles, and reduced SLA.

Data Engineer & BI Consultant - Infinity Management France - Paris, France

(2025-01 - 2025-06)

• Led Microsoft Fabric and Power BI adoption initiatives, improving reporting reliability and data quality across business teams
• Advised stakeholders on analytics and AI adoption use cases, translating business needs into scalable BI and automation solutions
• Contributed to data governance frameworks and reporting standardization, improving decision-making maturity

Data Analyst · Power BI Admin · AI Adoption Lead - ALTEN Group - Paris, France

(2021-10 - 2025-01)

• Reporting and dashboarding: Designed intuitive Power BI reports & dashboards with KPI tracking, drill-down analysis, and executive reporting views, enhancing decision-making speed and adoption across 7 business departments.
• ServiceNow operational analytics: Reduced average issue resolution time by ~30% for regional managers and CIOs by designing KPI-driven Power BI dashboards covering incident, request, asset, and change management on ServiceNow data — replacing 5+ manual weekly reports with real-time operational visibility.
• Executive storytelling: Improved Power BI adoption among non-technical leadership by designing storytelling dashboards with Smart Narratives auto-summaries, Decomposition Tree root-cause analysis, and drill-through executive views — enabling leaders to self-serve answers previously requiring analyst involvement.
• HR analytics: Delivered actionable workforce retention insights to HR leadership by designing a request management dashboard with DAX-driven attrition segmentation and workforce composition analysis, resulting in data-informed retention decisions across French business unit.
• Stakeholder engagement: Reduced mid-sprint scope changes by ~35% via cross-functional business stakeholder engagement (IT, Finance, Telecom, HR) and by leading structured requirement gathering, KPI definition, logic implementation, and UAT validation ensuring alignment between business objectives and analytics solutions.
• UAT facilitation: Achieved zero post-go-live dashboard defects across 12+ reports by leading UAT sessions with business stakeholders to validate reporting logic, KPI definitions, and RLS behaviour against acceptance criteria before production release.
• Change enablement: Drove Microsoft Copilot for M365 adoption from zero to active use across 700+ employees by designing a structured change programme of workshops, webinars, and role-based documentation — achieving 65%+ active usage within 3 months and measurable reduction in manual task time.
• Self-service reporting: Enabled self-service reporting for 50+ non-technical business users by designing optimised star schema semantic models with DAX measures, field descriptions, and row-level security using Entra ID groups — reducing ad hoc data requests to the analytics team by ~40%.
• Fabric migration: Reduced reporting costs by ~20% and pipeline performance by ~30% by architecting and migrating legacy reporting workflows to Microsoft Fabric (Lakehouse, Dataflows Gen2, Notebooks, CI/CD pipelines) — creating a governed analytics platform for 100+ users across 7 departments.
• BI governance: Reduced cross-department reporting errors by ~50% by implementing an enterprise BI governance model covering workspace RBAC, DLP policies, data quality standards, and monitoring across 7 business units — establishing trusted, consistent data consumption at scale.
• Dataverse & Power Platform: Extended analytics capability by integrating Power BI with Dataverse, Power Apps, and Power Automate — building model-driven traceability solutions and connecting enterprise data sources (SAP BW, ServiceNow, SQL Server, SharePoint) into unified Fabric Lakehouse pipelines.
• AI-enabled reporting: Prototyped an AI-powered reporting automation PoC using Azure OpenAI, Copilot Studio, and Power Automate — reducing manual report preparation effort and demonstrating AI-enabled operational intelligence applicable to this engagement's Copilot for Power BI requirements.
• Mentored juniors on Power BI architecture, semantic modelling, and DAX patterns; ran structured code and model reviews enforcing documentation and governance standards.
• Served as Enterprise Power BI/Fabric Administrator — workspace governance, licensing, capacity management, DLP, and security across 100+ users.

Data Scientist Intern - Lincoln (AI Project) - Paris, France

(2021-02 - 2021-08)

• Developed an NLP pipeline combining large-scale web scraping (1,000+ HTML files), multi-million-record dataset processing, and a supervised ML model to score and extract relevant webpage content — demonstrating end-to-end data science delivery.

Systems Engineer → Senior Systems Engineer → Technology Analyst - Infosys Limited - Chandigarh, India

(2012-07 - 2018-10)

• Managed CRM and digital marketing analytics for Adidas EMEA, including audience segmentation, campaign variant analysis (A/B-style testing), data visualisation with Tableau, BI reporting with Adobe Analytics for KPI tracking, and executive stakeholder communication.
• Collaborated with stakeholders to translate business needs into dashboards and insights, supporting marketing and CRM decision-making
• Led cloud migration & reporting of 30+ websites for Diageo UK, improving visibility into system performance.
• Delivered 20+ UI engineering features for American Express UK, ensuring SDLC/Agile adherence and QA standards.
• Full-stack development for Sears US loyalty programme (HTML5, CSS3, Java, SQL) and PoC for Ulta Beauty iOS e-commerce app.

MSc - Applied Data Science & Artificial Intelligence - Data ScienceTech Institute (DSTI) (2020-03 - 2021-07)

BEng - Computer Science Engineering - Jaypee University of Engineering & Technology (2008-07 - 2012-06)