Apoorva Singh

CEO

Gurugram, Haryana, India13 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led AI-driven analytics projects across multiple industries.
Pioneered digital transformation initiatives at McKinsey.
Founder of a GenAI-native product engineering company.

Stackforce AI infers this person is a SaaS and AI-focused leader with extensive experience in data-driven transformation.

Contact

Skills

Core Skills

Data ScienceAiAnalyticsBusiness Intelligence

Other Skills

AdvertisingAnalysisApache PigBig DataBusiness AnalysisBusiness AnalyticsBusiness DevelopmentC++Coaching & MentoringCognitive Behavioral Therapy (CBT)Corporate StrategyCustomer InsightCustomer SegmentationData AnalysisData Analytics

About

I am an impact-driven founder, strategist, and builder — someone who believes that when purpose meets execution, transformation follows. We are building the next generation of vertical SaaS Products — starting with FieldNerve, a real-time construction intelligence system designed to turn site chaos into clarity. With a global background in operational excellence (Mining, Manufacturing, Oil & Gas, Paper & Pulp, Infra) and technical expertise across AI, analytics, and system design, I lead Syntra, a GenAI-native product engineering company working at the intersection of Technology, Artificial Intelligence, Systems Thinking, and Domain depth. Our focus: Transform complex, data-fragmented industries - Construction, FinTech, Healthcare, and Education with intelligent platforms that think, learn, and scale. Syntra has evolved from services to SaaS to scalable, AI-native IP and from code to clarity to control. Visit us at: https://thesyntra.com Previously: - McKinsey & Company (Global Ops, GEMS, Data Science, Strategy & Implementation) - Projects deployed across 6 continents - Oracle (Analytics & Product) - ISB (Leadership & Analytics) - B.Tech, Computer Science Engineer Now hiring Product Thinkers, Developers, DevOps, and GenAI engineers. Let's Talk: For Powerful Solutions, Partnerships, Networking and Collabs: apoorva_singh@thesyntra.com For Saas Product Demo: info@thesyntra.com If you think you are a great hire & can add value to our products: hr_team@thesyntra.com

Experience

13 yrs 11 mos

Total Experience

6 yrs

Average Tenure

1 yr 11 mos

Current Experience

The syntra

Chief Executive Officer

Jul 2024 – Present · 1 yr 11 mos · New Delhi · On-site

The powerful you

Founder, Director

Feb 2024 – Present · 2 yrs 4 mos · Gurugram, Haryana, India · Hybrid

Mckinsey & company

Data Science Specialist

Mar 2016 – Jul 2024 · 8 yrs 4 mos · Gurugram, Haryana, India · On-site

Spearheaded large-scale digital transformation and AI-driven analytics projects across Metals & Mining, Energy, Manufacturing, and Paper & Pulp sectors globally (APAC, EU, NA).
Advised Fortune 500 clients on turning fragmented operations into data-driven, scalable systems.
Managed cross-functional teams to deliver operational intelligence dashboards, process digitization, and full-stack analytics platforms.
Delivered measurable insights in plant operations, supply chain efficiency, and maintenance optimization.
Pioneered the application of AI/ML tools to drive performance and reduce downtime in asset-intensive environments.
Initiated one of McKinsey’s early GenAI-focused internal groups, piloting intelligent solutions for asset-heavy industries. This experience became the seed for building Syntra, where we now develop vertical SaaS products for complex industries.

AIAnalyticsData ScienceMachine LearningOperational IntelligenceProcess Digitization

Oracle

Senior Analytics Consultant

Aug 2011 – Apr 2015 · 3 yrs 8 mos · Bengaluru Area, India · On-site

Delivered data-driven insights for Fortune 500 retail clients across the US and Europe, optimizing demand forecasting, inventory turnover, and merchandising strategies.
Designed predictive models for “next product to buy,” stock replenishment, and customer segmentation using large-scale transactional data.
Built end-to-end analytics solutions, from ETL pipelines to business intelligence dashboards — tailored for retail operations and decision-making.
Acted as a bridge between product teams and client stakeholders, ensuring models delivered business impact, not just accuracy.
This experience built my foundation in productized analytics and set the stage for my transition to more complex industry applications at McKinsey after in-depth study of my machine learning subjects from ISB.

Predictive ModelingBusiness IntelligenceData AnalyticsETLCustomer SegmentationAnalytics