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Marshall S.

Scaling Enterprise AI & Analytics @Saxon AI | Product Analytics • Solution Architecture • AI Transformation • Tech Stack: Power BI, Microsoft Fabric | Ex-KPMG

Bengaluru

6+ years of work experience

Saxon AI
May 20251 yr 6 mosPresent

Bengaluru, Karnataka, India

• Leading APAC Analytics & BI strategy across Finance and Service functions, defining KPI frameworks, Microsoft Fabric implementation roadmap, and enterprise reporting strategy for digital transformation initiatives. • Directed Microsoft Fabric implementation and enterprise reporting modernisation, delivering more than 80 analytics reports, eliminated 100+ hours/month of manual effort, & enabling self-service analytics that improved data accessibility and business decision-making across multiple functions. • Developed a Microsoft Fabric & Copilot Studio Agentic AI PoC for finance analytics, integrating Fabric IQ ontology to deliver context-aware & AI driven insights; converted PoC into $80K full-scale implementation opportunity with client. • Led a cross-functional team of analytics professionals to deliver 12+ executive dashboards supporting over 150 business stakeholders while reducing manual reporting effort by 80%. • Established data governance standards by defining KPI definitions, reporting rules, and data validation processes, improving data quality by 50%. • Partnered with Product, Engineering, Finance, and business leaders to translate strategic objectives into scalable analytics products. • Spearheaded Power BI development for enterprise data migration, managing a 4-member team, partnering with Product, Engineering, & Finance teams to deliver 12+ dashboards for 150 stakeholders, reducing manual reporting by 80%.
KPMG India
Oct 20248 mosMay 2025

• Led analytics work-streams for enterprise transformation programs across Healthcare, BFSI, and Retail, delivering scalable BI solutions and analytics products for global clients. • Designed and optimised SQL and Power BI data models for a Fortune 500 banking client, reducing manual monitoring effort by over 120 hours each week while improving fraud analytics capabilities. • Built Python-based model monitoring solutions to improve machine learning drift detection and support predictive model retraining. • Managed Azure Data Factory pipelines processing more than 10TB of retail data across 100+ UK organisations, ensuring reliable data delivery and high-quality reporting. • Delivered workforce analytics solutions for the NHS covering over 1.3 million employees, reducing reporting time by 70% through ETL automation and interactive Power BI dashboards. • Led the commercial work-stream for a £1.2M NHS proposal, developing pricing models and commercial planning tools that maintained target profit margins above 40%. • Worked closely with senior stakeholders to define KPI frameworks, reporting requirements, and analytics strategies supporting business transformation.
KPMG India
Jan 20231 yr 10 mosOct 2024

• Federal Data Platform implementation for NHS. • RCM model optimisation and analytics for US healthcare provider. • Advance Excel, Power BI and Python delivery modules for professionals at NHS. • End-to-end dashboard designing, data modelling and data mining to enhance workforce planning strategy for NHS.
Buck
Jan 20221 yrDec 2022

Chandigarh, India

• Served as Product Owner for enterprise HR and Finance analytics products, prioritizing business requirements, defining product roadmaps, and ensuring successful Agile delivery. • Led Scrum ceremonies and managed cross-functional delivery teams, removing delivery blockers and improving execution through Agile best practices. • Designed SQL-based semantic models that reduced memory consumption by 30%, accelerating dashboard performance and improving user experience. • Automated enterprise ETL workflows using VBA and SQL, eliminating manual processing and significantly improving reporting efficiency. • Collaborated with business stakeholders to improve master data quality, establish data governance standards, and support enterprise data warehouse initiatives.
Buck
Dec 20201 yr 1 moDec 2021

Chandigarh, India

Data Warehouse Implementation: • Working with different stakeholders to document, implement & maintain metadata & business rules for developing master data (MDM) & establishing Data Warehouse to enhance data quality. ETL Process Automation: • Reduced time & manual efforts by 100% by completely automating the ETL process by auto-downloading load files, transform & load it into bEquipped Sisense Elasticube /Dashboards using HTML & excel VBA wireframe. Chat-Bot Deployment: • Designed & enhanced NLU (Natural Language Understanding) model using Google Dialogflow by building real-time conversational database & identified anomalies in "Ask Brutus" chat-bot project.
Grenoble Ecole de Management
Jan 20207 mosJul 2020

Paris, Île-de-France, France

Research Thesis: Evaluation of challenges faced in post-merger integration of financial information system (IS)
TechnipFMC
Jul 20196 mosDec 2019

La Defense, Paris Area, France

• Developed Conceptual data model & ER diagram among business entities, & integrated data to single database using SQL to streamline information. • Created VBA based reporting tool for automating data transfer process for non-ERPs improving 100% data quality & reducing manual intervention. • Streamlined data among different ERPs through variance analysis & was involved in monthly reconciliation activity of actual, budgeting & forecast data v/s YTD data. • Supported shared service center & TPFMC University by documenting detailed processes on ERPs (Oracle Smart View Essbase, Hyperion planning & Macro-Excel Package) & CRM tools and provided training to the various stakeholders.

Marshall’s AI Stack

claude code
claude code
claude
claude
codex
codex
openai
openai
claudecode
claudecode
Microsoft Copilot
Microsoft Copilot

Education

Grenoble Ecole de Management

Master's degree, International Business

Grenoble Ecole de Management

20182 yrs2020
Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE

Thapar Institute of Engineering & Technology

20124 yrs2016

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Headline

Scaling Enterprise AI & Analytics @Saxon AI | Product Analytics • Solution Architecture • AI Transformation • Tech Stack: Power BI, Microsoft Fabric | Ex-KPMG

About

Most organisations don't struggle because they lack data—they struggle because they lack clarity. My passion is helping businesses turn complex data into decisions that drive measurable outcomes. With 8+ years of experience across India and Europe, I've led analytics initiatives spanning BFSI & Healthcare for global organizations. My career has evolved from building analytics solutions to leading enterprise analytics strategy, enabling business leaders to make faster, smarter decisions through scalable data products. Today, I lead Analytics & BI initiatives focused on modernizing enterprise reporting, implementing Microsoft Fabric-powered analytics platforms, and designing KPI frameworks that align technology with business objectives. I enjoy working at the intersection of business strategy, analytics, and AI—where data becomes a competitive advantage rather than just another reporting function. Some highlights from my journey include: • Led reporting modernization through Microsoft Fabric and Power BI, delivering 80+ reports, eliminating 100+ hours of manual effort per month, and enabling self-service analytics. • Developed a Microsoft Fabric and Copilot Studio Agentic AI proof of concept for finance analytics, integrating Fabric IQ to deliver context-aware insights and converting the PoC into an $80K full-scale implementation opportunity. • Building analytics solutions for Fortune 500 banking clients and NHS workforce programs, including analytics for over 1.3 million employees and data models that saved more than 120 hours of manual effort each week. • Mentored junior associates to analyze business problems through data lens, delivering tailored BI solutions for stakeholders to enable swift decision-making. Beyond technology, I enjoy partnering with business leaders to define analytics roadmaps, establish governance frameworks, mentor high-performing teams, and translate complex business problems into practical, data-driven solutions. My expertise includes: • Analytics Strategy & Leadership • Product Analytics • Finance Transformation • KPI Framework Design • Data Strategy & Governance • AI-Powered Analytics • Executive Reporting & Data Storytelling • Cross-functional Stakeholder Management • Analytics Consulting & Pre-sales • Tech Stack: Power BI, Microsoft Fabric, SQL, Python, Co-Pilot I'm always interested in connecting with professionals who are passionate about Analytics Leadership, Enterprise BI, Microsoft Fabric, AI, and building data-driven organizations. For collaboration or inquiries, connect with me at marshall.sharma1@gmail.com

Location

Bengaluru

AI stack

claude code

claude

codex

openai

claudecode

Microsoft Copilot

Work experience

Strategy & Analytics Lead - Assistant Manager at Saxon AI, May 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India, • Leading APAC Analytics & BI strategy across Finance and Service functions, defining KPI frameworks, Microsoft Fabric implementation roadmap, and enterprise reporting strategy for digital transformation initiatives. • Directed Microsoft Fabric implementation and enterprise reporting modernisation, delivering more than 80 analytics reports, eliminated 100+ hours/month of manual effort, & enabling self-service analytics that improved data accessibility and business decision-making across multiple functions. • Developed a Microsoft Fabric & Copilot Studio Agentic AI PoC for finance analytics, integrating Fabric IQ ontology to deliver context-aware & AI driven insights; converted PoC into $80K full-scale implementation opportunity with client. • Led a cross-functional team of analytics professionals to deliver 12+ executive dashboards supporting over 150 business stakeholders while reducing manual reporting effort by 80%. • Established data governance standards by defining KPI definitions, reporting rules, and data validation processes, improving data quality by 50%. • Partnered with Product, Engineering, Finance, and business leaders to translate strategic objectives into scalable analytics products. • Spearheaded Power BI development for enterprise data migration, managing a 4-member team, partnering with Product, Engineering, & Finance teams to deliver 12+ dashboards for 150 stakeholders, reducing manual reporting by 80%.

Consultant - Data Analytics & AI at KPMG India, Oct 2024 - May 2025 · 8 mos, • Led analytics work-streams for enterprise transformation programs across Healthcare, BFSI, and Retail, delivering scalable BI solutions and analytics products for global clients. • Designed and optimised SQL and Power BI data models for a Fortune 500 banking client, reducing manual monitoring effort by over 120 hours each week while improving fraud analytics capabilities. • Built Python-based model monitoring solutions to improve machine learning drift detection and support predictive model retraining. • Managed Azure Data Factory pipelines processing more than 10TB of retail data across 100+ UK organisations, ensuring reliable data delivery and high-quality reporting. • Delivered workforce analytics solutions for the NHS covering over 1.3 million employees, reducing reporting time by 70% through ETL automation and interactive Power BI dashboards. • Led the commercial work-stream for a £1.2M NHS proposal, developing pricing models and commercial planning tools that maintained target profit margins above 40%. • Worked closely with senior stakeholders to define KPI frameworks, reporting requirements, and analytics strategies supporting business transformation.

Associate Consultant - Power BI Developer at KPMG India, Jan 2023 - Oct 2024 · 1 yr 10 mos, • Federal Data Platform implementation for NHS. • RCM model optimisation and analytics for US healthcare provider. • Advance Excel, Power BI and Python delivery modules for professionals at NHS. • End-to-end dashboard designing, data modelling and data mining to enhance workforce planning strategy for NHS.

BI Product Owner at Buck, Jan 2022 - Dec 2022 · 1 yr, Chandigarh, India, • Served as Product Owner for enterprise HR and Finance analytics products, prioritizing business requirements, defining product roadmaps, and ensuring successful Agile delivery. • Led Scrum ceremonies and managed cross-functional delivery teams, removing delivery blockers and improving execution through Agile best practices. • Designed SQL-based semantic models that reduced memory consumption by 30%, accelerating dashboard performance and improving user experience. • Automated enterprise ETL workflows using VBA and SQL, eliminating manual processing and significantly improving reporting efficiency. • Collaborated with business stakeholders to improve master data quality, establish data governance standards, and support enterprise data warehouse initiatives.

Data Analyst - Global Operations at Buck, Dec 2020 - Dec 2021 · 1 yr 1 mo, Chandigarh, India, Data Warehouse Implementation: • Working with different stakeholders to document, implement & maintain metadata & business rules for developing master data (MDM) & establishing Data Warehouse to enhance data quality. ETL Process Automation: • Reduced time & manual efforts by 100% by completely automating the ETL process by auto-downloading load files, transform & load it into bEquipped Sisense Elasticube /Dashboards using HTML & excel VBA wireframe. Chat-Bot Deployment: • Designed & enhanced NLU (Natural Language Understanding) model using Google Dialogflow by building real-time conversational database & identified anomalies in "Ask Brutus" chat-bot project.

Research Student - M&A Data Strategy at Grenoble Ecole de Management, Jan 2020 - Jul 2020 · 7 mos, Paris, Île-de-France, France, Research Thesis: Evaluation of challenges faced in post-merger integration of financial information system (IS)

Finance Transformation & Analytics - Merger & Acquisition at TechnipFMC, Jul 2019 - Dec 2019 · 6 mos, La Defense, Paris Area, France, • Developed Conceptual data model & ER diagram among business entities, & integrated data to single database using SQL to streamline information. • Created VBA based reporting tool for automating data transfer process for non-ERPs improving 100% data quality & reducing manual intervention. • Streamlined data among different ERPs through variance analysis & was involved in monthly reconciliation activity of actual, budgeting & forecast data v/s YTD data. • Supported shared service center & TPFMC University by documenting detailed processes on ERPs (Oracle Smart View Essbase, Hyperion planning & Macro-Excel Package) & CRM tools and provided training to the various stakeholders.

Education

Master's degree, International Business, Grenoble Ecole de Management

Bachelor of Engineering - BE, Thapar Institute of Engineering & Technology