Nishant Shah profile photo 1 on Tal

Nishant Shah

Manager at EY

Bengaluru

8+ years of work experience

EY
Sep 20262 mosPresent

Bengaluru · Hybrid

EY
Oct 20242 yrsSep 2026

Bengaluru · Hybrid

Led product enablement, governance, and operational scaling of FEU, an AI-powered demand intelligence ecosystem integrated with Kinaxis, Trade Promo Management, Trade Promo Analytics tool supporting demand-supply planning and S&OP. Spearheaded the creation of a closed-loop forecasting capability that combined market insights, customer signals and planner expertise to continuously enhance AI-driven forecasts and support better commercial and supply chain decisions. Enabled data-driven planning decisions through AI-generated baseline forecasts, promotion forecasts, price elasticity insights, forecast explainability, confidence scoring and forecast value-add analytics. Partnered with planning and commercial teams to interpret demand drivers, promotional performance, forecast shifts, planning exceptions and KPI trends, enabling faster and more informed decisions. Collaborated with Product, Data Science, Engineering and Planning teams to drive forecast adoption, root-cause analytics, process improvements and planning effectiveness across global markets. Collaborated on future-state Demand Planning Product Strategy & roadmap focused on explainable AI & autonomous planning capabilities to enhance business decision-making and planner productivity.
EY
Oct 20231 yr 1 moOct 2024

Bengaluru · Hybrid

NielsenIQ
Mar 20212 yrs 8 mosOct 2023

Vadodara

Delivered consumer insights, market structure, category analytics, and shopper behaviour studies for leading FMCG/CPG clients including Unilever, P&G, Nestle, Danone, General Mills, Pernod Ricard, Clorox, and others. Analysed RMS/POS, panel, Homescan, and syndicated datasets to understand shopper behaviour, brand switching, loyalty, penetration, market share, category interaction, whitespace areas and competitive dynamics. Worked on Consumer Decision Tree and Shopper insights to identify how consumers navigate categories, compare brands, make purchase choices, and respond to product’s attribute differences. Delivered Power BI & Spotfire dashboards highlighting SKU interaction patterns, cannibalization, category flows, promotional responsiveness, and shopper journeys. Automated analytics workflow using Python and SQL, improving market research productivity by ~35%. Collaborated with cross-functional teams and presented executive-ready insights for senior category leaders.
Collabera Technologies
Jan 20191 yr 1 moJan 2020

Vadodara, Gujarat, India

Partnered with hiring managers to define requirements and deliver on 25+ technology hires, honing skills in stakeholder engagement and needs assessment. Developed sourcing and candidate evaluation strategies that improved placement success and time-to-fill.
May 20171 yr 8 mosDec 2018

Surat Area, India

Nishant’s AI Stack

claude code
claude code
deepseek
deepseek
gemini
gemini
lovable
lovable
openai
openai
replit
replit

Education

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Executive PG Diploma, General Management

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Manipal Academy of Higher Education

Postgraduate Degree, Data Science

Manipal Academy of Higher Education

Join Nishant and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Nishant Shah on Tal

Headline

Manager at EY

About

I have around 8+ years of experience across CPG analytics, supply chain, demand planning, forecasting and analytics-led transformation, with experience at EY and NielsenIQ. At EY, I have led techno-functional delivery for large-scale demand planning and AI/ML enabled forecasting programs across global markets, working closely with business, product, data science, engineering and leadership teams. My experience spans demand forecasting, S&OP/IBP, supply chain analytics, MLOps, advanced analytics, solutioning, stakeholder management and program delivery. Earlier at NielsenIQ, I worked across CPG, retail and consumer analytics, translating complex market and shopper data into actionable business insights. My strength lies at the intersection of CPG domain knowledge, analytics, technology and consulting turning complex business problems into scalable solutions, actionable decisions and measurable business outcomes. Core areas: CPG/FMCG Analytics | Supply Chain Analytics | Demand Planning & Forecasting | Advanced Analytics & AI/ML | S&OP/IBP | MLOps | RGM & Commercial Analytics | Analytics Transformation | Program & Stakeholder Leadership

Location

Bengaluru

AI stack

claude code

deepseek

gemini

lovable

openai

replit

Work experience

Manager at EY, Sep 2026 - Present · 2 mos, Bengaluru · Hybrid

Senior Consultant at EY, Oct 2024 - Sep 2026 · 2 yrs, Bengaluru · Hybrid, Led product enablement, governance, and operational scaling of FEU, an AI-powered demand intelligence ecosystem integrated with Kinaxis, Trade Promo Management, Trade Promo Analytics tool supporting demand-supply planning and S&OP. Spearheaded the creation of a closed-loop forecasting capability that combined market insights, customer signals and planner expertise to continuously enhance AI-driven forecasts and support better commercial and supply chain decisions. Enabled data-driven planning decisions through AI-generated baseline forecasts, promotion forecasts, price elasticity insights, forecast explainability, confidence scoring and forecast value-add analytics. Partnered with planning and commercial teams to interpret demand drivers, promotional performance, forecast shifts, planning exceptions and KPI trends, enabling faster and more informed decisions. Collaborated with Product, Data Science, Engineering and Planning teams to drive forecast adoption, root-cause analytics, process improvements and planning effectiveness across global markets. Collaborated on future-state Demand Planning Product Strategy & roadmap focused on explainable AI & autonomous planning capabilities to enhance business decision-making and planner productivity.

Consultant at EY, Oct 2023 - Oct 2024 · 1 yr 1 mo, Bengaluru · Hybrid

Research Executive at NielsenIQ, Mar 2021 - Oct 2023 · 2 yrs 8 mos, Vadodara, Delivered consumer insights, market structure, category analytics, and shopper behaviour studies for leading FMCG/CPG clients including Unilever, P&G, Nestle, Danone, General Mills, Pernod Ricard, Clorox, and others. Analysed RMS/POS, panel, Homescan, and syndicated datasets to understand shopper behaviour, brand switching, loyalty, penetration, market share, category interaction, whitespace areas and competitive dynamics. Worked on Consumer Decision Tree and Shopper insights to identify how consumers navigate categories, compare brands, make purchase choices, and respond to product’s attribute differences. Delivered Power BI & Spotfire dashboards highlighting SKU interaction patterns, cannibalization, category flows, promotional responsiveness, and shopper journeys. Automated analytics workflow using Python and SQL, improving market research productivity by ~35%. Collaborated with cross-functional teams and presented executive-ready insights for senior category leaders.

Technical Recruiter at Collabera Technologies, Jan 2019 - Jan 2020 · 1 yr 1 mo, Vadodara, Gujarat, India, Partnered with hiring managers to define requirements and deliver on 25+ technology hires, honing skills in stakeholder engagement and needs assessment. Developed sourcing and candidate evaluation strategies that improved placement success and time-to-fill.

Sales Associate at Pacific investments (NJ wealth), May 2017 - Dec 2018 · 1 yr 8 mos, Surat Area, India

Education

Executive PG Diploma, General Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Postgraduate Degree, Data Science, Manipal Academy of Higher Education