Headline

Retail Analytics & GenAI Leader | Building AI-powered decision systems for large-scale retail | Target | Ex-Microsoft | Ex-Yahoo

About

Retail's data problems aren't technical — they're about speed, trust, and knowing what to act on. Over 19+ years across Microsoft, Yahoo, and now Target, I've built data driven systems that help leaders make faster, better decisions — from Keywords optimizations and audits, guest segmentation and competitor intelligence to capture trending products, to solutionizing the leadership level Business Reviews routines . At Target, I lead the development of Generative AI and Agentic RAG solutions that have transformed how our teams consume data. The shift from "here's a dashboard" to "here's what you should do next" — that's the gap I close. What I specialize in: → GenAI & Agentic AI system design (LLMs, RAGs, MCP, KAGs,loops,Evals) → Retail analytics at scale — segmentation, space, comptetior analysis,consumer trends ,market trends → Translating ambiguous business problems into deployable AI solutions I hold an MBA from UT Austin – McCombs, which sharpened the business edge behind everything technical I build. If you're working on hard retail data problems, building an AI analytics function, or want to talk about where Agentic AI is heading in enterprise retail — I'd be glad to connect.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

deepseek

Work experience

Technical Lead at Target, Apr 2024 - Present · 2 yrs 5 mos, Bengaluru, Leading data and AI initiatives at Target in India for Mechandising Data team, with a focus on building Generative AI-powered analytical tools for the retail business. Key focus areas: - Architected Agentic AI and RAG-based solutions that automate insight generation for merchandising teams. - Architected Weekly CXO ,SVPs level reporting tracking the 100B $ plus revenue over the year based on 350 plus correlated KPIs and end to end Agentic based generation of context based insights leveraging LLMs - Architectured Agentic Automated report aand summaries to be delivered to leaders for Weekly Business Reviews. - Built guest segmentation frameworks and competitor intelligence systems used in strategic planning - Developed reporting and data model infrastructure supporting space transitions and inventory optimization - Bridge between technical data teams and senior business stakeholders — translating complex analytics into clear commercial decisions Stack: Python, LLMs, Agentic RAG, MCP, KAGs, Big Data tools, cloud data platforms

Co-Founder CTO at Stealth AI Startup, Jul 2023 - Apr 2024 · 10 mos

Lead Data Engineer at Target, Mar 2016 - Jul 2023 · 7 yrs 5 mos, Bengaluru, • Championed and orchestrated end-to-end solutions for Guest Insights Analytical Reporting, driving the entire process from data collection to actionable insights. • Designed and deployed consumer-facing dashboards and visual cards using BI reporting tools such as MicroStrategy, Tableau, and Domo, delivering impactful and intuitive data visualizations for enhanced decision-making. • Leveraged Big Data technologies, including Hive, Sqoop, Oozie, and Teradata, to execute complex data engineering and ETL tasks, ensuring robust data pipelines and seamless integrations. • Boosted team productivity by 25% through the implementation of data optimization initiatives and the automation of Hive-SQL processes, driving efficiency and precision. • Spearheaded the development of advanced dashboards for guest segmentation and behavior analysis, enhancing Target's platform capabilities to better understand and serve its guests.

Principal Software Engineer at Kronos, Jan 2012 - Feb 2016 · 4 yrs 2 mos, Noida, Architected solutions for Workforce Analytics, designing and delivering dashboards and reports across different interfaces (Desktop, Mobile, Tablets). Utilized Microstrategy as the BI tool and SQL Server/Oracle as backend data sources.

Software Development engineer at Microsoft Corporation, Feb 2011 - Jan 2012 · 1 yr, Bangalore Urban, Karnataka, India, Designed and developed analytics features for the search engine (Bing) at Microsoft R&D. Used SSRS and SQL Server to deliver solutions.

Education

Post Graduate Program in Data Science and Business Analytics, Data Science, Texas McCombs School of Business

BE, Information Technology, nagpur university

Public links

github: https://github.com/amitssikarwar