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Transforming eCommerce with AI | Founder, uniQin.ai | Empowering Small Retailers with Big Data Insights
The future of online selling won't belong to companies with the biggest budgets it will belong to those who use AI to understand their customers better. After 20 years working with machine learning and retail, I've seen a big change: the tools that only big companies could afford are now available to small and medium businesses too. This change isn't just improving things—it's completely changing how we do business. At uniQin.ai, we're not just building another online selling tool. We're creating a future where making decisions based on data becomes as easy as checking your phone. Our AI platform has helped over 35 brands grow amazingly—medium sized businesses see an average 250% increase in sales, while small companies scale into thousands of percentage points. Most importantly, we're proving that smart analytics doesn't need a huge budget. 🔮 My different belief: The most successful online brands of 2030 will be those that use AI as a creative partner, not just a tool to make things better. AI is great at finding patterns, but human creativity drives breakthrough ideas and brand stories. 🚀 What I'm working on: Building models that predict marketplace changes before they happen Creating the first system that tracks sales across all platforms for multi-marketplace sellers Studying how different cultures affect AI-powered personalization in growing markets 🎯 How I contribute to the industry: Teaching at various analytics schools Regular writer of eCommerce growth methods and strategies Advisor to startups connecting AI research with real retail use The future of retail belongs to brands that can move from reacting to predicting, from one-size-fits-all to personal, from separate systems to connected across all touchpoints. Let's build that future together. 💭 What do you think about AI's role in the next decade of online selling? I'm always excited
Indian Institute of Management Bangalore
Business Analytics and Intelligence, Executive Program
January 1, 2013 – January 1, 2014
Inwent Gmbh,Germany
Management Program (3 months)
January 1, 2008 – January 1, 2008
Symbiosis Institute of Management Studies
PGDM (Full time program)
January 1, 2003 – January 1, 2005
Regional Institute Of Education ,Manasagangothri Mysore
Bachelor of Science (BSc), Mathematics
January 1, 1999 – January 1, 2001
42 Card Solutions Pvt Ltd
Head – Business Analytics & Intelligence
September 1, 2024 – Present
Bengaluru, Karnataka, India · Hybrid
uniQin.ai
Founder & CEO
June 1, 2021 – Present
Bangalore Urban, Karnataka, India
IKEA Group
Senior Data Scientist
December 1, 2019 – May 1, 2021
Greater Malmö Metropolitan Area
IBM
Business Manager - Data Scientist
April 1, 2019 – December 1, 2019
Greater Bengaluru Area
Infosys
Manager - Data Scientist|Artificial Intelligence| Deep learning |Machine learning
November 1, 2012 – March 1, 2019
Bengaluru Area, India
Self
Training Consultant - Machine Learning
January 1, 2012 – Present
Redwood Associates
Lead - Analytics Algorithms
October 1, 2011 – November 1, 2012
Bengaluru, Karnataka, India
Canara HSBC Life
Manager -Group Operations Strategy
February 1, 2010 – April 1, 2011
Greater Hyderabad Area
SBI Life Insurance Co. Ltd.
Deputy Manager
June 1, 2005 – January 1, 2010
Bengaluru, Karnataka, India
Snowpipe Streaming
Snowflake
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning large corporations (IKEA, IBM, Infosys) and startups (uniQin.ai, 42 Card Solutions), indicating adaptability to different organizational cultures. The entrepreneurial venture and leadership roles suggest a proactive, innovative, and results-oriented mindset. The focus on data-driven decision-making and strategic transformation aligns with a culture valuing analytical rigor and impact. However, the lack of specific project details makes it difficult to fully assess collaboration style and cultural alignment beyond leadership roles.
Soft Skills & Operational Fit
The candidate's experience as a Head of Business Analytics & Intelligence and Founder/CEO suggests strong leadership, strategic thinking, and cross-functional collaboration skills. The descriptions indicate an ability to establish modern ways of working (agile, GitHub) and build team trust. The role at 42 Card Solutions highlights operational fit in managing analytics capabilities and aligning with business velocity.