Ranjan Kumar Shah

Business Transformation and Growth Strategy professional with 8+ years of cross-industry experience driving ₹1Cr+ in measurable business impact through data-driven process redesign, quantitative analysis, and AI-powered decision frameworks. Hands-on experience configuring and working within CRM/ERP systems to manage client accounts, sales pipelines, and delivery tracking, translating operational and business requirements into system workflows and dashboards. Currently completing a Product Management & Agentic AI program at IIT Patna.

AI-certified (micro1) and WorldQuant Brain-certified in quantitative analysis, combining structured problem-solving (Lean Six Sigma, SPC) with modern AI/analytics tooling and ERP-driven process discipline to design scalable, high-impact solutions.

Business Transformation & Product Strategy Manager at Young Passion Value Marketing Pvt. Ltd. (2020-03 – Present)

• Designed a 3-tier revenue transformation strategy combining process, people, and technology levers to drive sustainable business growth.
• Applied SPC and 5-Why root-cause analysis to redesign the revenue-to-delivery pipeline, cutting leakage by 30% (recovering ₹8–10L/month in at-risk revenue).
• Led Lean/Kaizen process-improvement initiatives that reduced cycle time by 20%+, saving ~120 team-hours per month.
• Built a tier-based client health-scoring framework across 50+ B2B accounts, improving retention 25% YoY and protecting ₹25–40L in annual revenue.
• Managed client accounts, sales pipeline, and delivery tracking end-to-end within the company's CRM/ERP system — maintaining data accuracy, configuring workflows, and driving user adoption and data discipline across teams.
• Automated executive KPI dashboards, cutting management reporting time by 90% and enabling faster, data-backed decisions.
• Designed and delivered a structured coaching framework for an 8-member team, lifting conversion performance by 18%.
• Drove 15–20% YoY growth through structured upsell/cross-sell frameworks built on customer usage and lifecycle data.

Quality & Process Improvement Engineer at Imperial Auto Industries Ltd. (2017-05 – 2019-08)

• Led APQP/PPAP process for 3 product launches, achieving zero non-conformances.
• Applied SPC and MSA methods to cut rejection rate by 22% in 6 months and reduce measurement variability from 28% to 8%.
• Ran 5S audits that improved scores from 62% to 89% and cut material search time by 40%.
• Implemented Poka-Yoke error-proofing, achieving zero defect recurrence for 18+ months.
• Conducted root-cause analysis using Fishbone and 8D methodology to drive corrective and preventive action (CAPA) closure on recurring quality issues.
• Ensured process and documentation compliance with IATF 16949 quality management standards across production lines.
• Trained shop-floor teams on SPC techniques and quality documentation practices, strengthening first-time-right output.
• Queried and analyzed supplier quality data from the plant's ERP system using SQL to support root-cause investigations and vendor tracking.

Product Management & Agentic AI – IIT Patna (2025 – 2026)

PGDBA in Marketing & Management – SCDL, Symbiosis International University, Pune

B.Tech in Mechanical Engineering – Punjab Technical University