Shahrukh Khan — Product Engineer
🚀 Lead Analytics & BI Architect with 8+ years of experience building revenue intelligence systems, scalable BI ecosystems, and AI-powered analytics products in high-growth environments. I specialize in designing enterprise-grade semantic layers, executive reporting systems (WBR/Daily Metrics), and automated forecasting frameworks that directly influence revenue strategy, marketing efficiency, and operational performance. At Quince, I built and scaled the Looker semantic layer from the ground up, supporting 200+ cross-functional stakeholders across Growth, Marketing, Merchandising, and Executive teams. I’ve led multi-million dollar marketing spend optimization initiatives through ROAS intelligence, revenue forecasting, and pacing systems. My work sits at the intersection of: • Revenue & Growth Analytics • BI Architecture & Governance • Forecasting & Performance Intelligence • AI-Driven Insight Automation (Vertex AI, Streamlit) • Cross-Functional Decision Systems I thrive in environments where ownership, speed, and system design matter — building analytics foundations that scale with the business.
Stackforce AI infers this person is a SaaS-focused Analytics Architect with expertise in BI and AI-driven insights.
Location: Bengaluru, Karnataka, India
Experience: 8 yrs 4 mos
Skills
- Business Intelligence (bi)
- Forecasting
Career Highlights
- Built scalable BI ecosystems impacting revenue strategy.
- Led multi-million dollar marketing spend optimization initiatives.
- Designed automated forecasting frameworks enhancing operational performance.
Work Experience
Quince
Lead Data Analytics/ Looker SME (2 yrs 2 mos)
LTIMindtree
Specialist Data Engineering (1 yr 2 mos)
Gupshup
Business Analyst (9 mos)
TEKsystems Global Services in India
Data Analyst (7 mos)
Headout
Senior Analyst (3 yrs 8 mos)
Education
Bachelor's of Engineering at Jss Academy of Technical Education