Sanchit Agarwal

AI forward strategy professional who uses analytics to drive decisions

I’m a Strategic Marketing data professional at Applied Materials, working closely with strategy, finance, and operations teams to support market planning and executive decision-making.My work focuses on market intelligence, performance analysis, and strategic storytelling — translating complex data into clear insights that inform growth priorities, resource allocation, and go-to-market decisions.I enjoy operating at the intersection of strategy, analytics, and execution, where data directly shapes business outcomes.

Experience

Applied Materials

    Market Analyst
   June'23 -Present

  • Led market and competitive analysis to inform growth prioritization, capacity planning, and long-term strategy discussions

  • Built executive-ready dashboards and analytical frameworks to monitor revenue performance, demand signals, and leading indicators

  • Developed forecasting, scenario, and planning models to support annual and quarterly business cycles

  • Partnered with cross-functional stakeholders to identify performance gaps, assess risks, and recommend corrective actions

  • Synthesized complex analyses into concise narratives for leadership reviews and decision forums

Kearney

    Analytics Consultant
   Aug'22 -Dec'22

  • Conducted market intelligence and competitive benchmarking to identify commercial opportunities and strategic levers

  • Built financial models and analytical frameworks to evaluate growth scenarios and investment trade-offs

  • Translated analytical findings into actionable recommendations presented to client leadership

  • Collaborated closely with strategy, finance, and client-side teams in a fast-paced consulting environment

Hyundai Motors

    Assistant Manager, Retail Analytics
   June'17 -April'22

  • Developed large-scale forecasting and planning models to optimize inventory allocation across 300+ dealerships

  • Delivered $1.2B+ revenue impact during supply-constrained periods through data-driven demand planning and allocation strategies

  • Built automated reporting systems (SQL, Tableau) to track sales trends, dealer performance, and operational KPIs

  • Partnered with sales, operations, and leadership teams to improve planning accuracy and execution effectiveness

Education

Purdue University

MS in Business Analytics and Information Management

Nirma University

B. Tech in Mechanical Engineering

Projects

Founder, DING.AI: A Multi-Agent News Intelligence System

  • Designed a multi-agent news intelligence pipeline combining research, editorial review, and synthesis into executive-ready briefings

  • Applied orchestration and quality controls to ensure accuracy, relevance, and strategic signal over noise

Spot Award- Make Possible: Issued by Applied Materials

  • Individual Excellence award for digital initiatives and building data infrastructure across multiple domains at Applied Materials

  • Led end-to-end development of market and revenue intelligence tools, including purchase credits dashboards, state-of-the-business reporting, and revenue sizing models

  • Replaced spreadsheet-driven workflows with centralized, decision-ready dashboards used across Strategy, Finance, Business Development, and Sales Operations

Supply Chain Spend Intelligence (Spend Cube): In partnership with Kearney

  • Worked on a market and supply chain analytics initiative for an automotive client facing fragmented ERP data after multiple acquisitions

  • Designed a low-cost, scalable spend intelligence framework to centralize supplier and purchasing data without relying on expensive third-party platforms

  • Built a Spend Cube using Python, CSV-based ingestion, and Tableau to enable supplier visibility, pricing analysis, and overcharge detection

  • Enabled close to $1.4B in spend visibility, supporting improved supplier negotiations and strategic sourcing decisions

Skills & Certifications