Skip to main content
Chetin Garg

Chetin Garg

Analytics – Agentic AI / AI Operations

Talent
BengaluruMember since October 30, 2026
SQLPythonExcelPower BITableaudata analysisdashboardsreconciliationLLM-based workflowsretrieval-augmented generation (RAG)LangChainLangGraphCrewAIPineconen8nOllamaworkflow testingcustomer serviceinventory and purchasingcash handlingprocess documentationAWS
·

Hire this person

Send a job offer directly to this candidate

SQLPythonExcelPower BITableau

About

Operations and analytics professional with experience in AI workflow implementation, business operations, and operational reporting. Uses SQL, Python, Excel, Power BI, and Tableau to support data analysis, dashboards, reporting, and process improvement. Familiar with LLM-based workflows, retrieval-augmented generation (RAG), workflow testing and tools including LangChain, LangGraph, CrewAI, and Pinecone.

Brings a practical, cross-functional approach to translating business needs into clear processes, useful analysis, and operational follow-through.

Experience

Forward Deployed Engineer – Agentic AI / AI Operations at Basethesis Labs (2026-03 – 2026-09)

  • Partnered with client teams to understand business processes and translate operational requirements into AI-assisted workflow designs.
  • Configured and tested multi-step LLM workflows using LangChain, LangGraph, and CrewAI; reviewed outputs and documented quality issues.
  • Applied retrieval-augmented generation (RAG) concepts with Pinecone to support information retrieval from business documents.
  • Used Python and n8n to assist with workflow setup, data handling, and process automation.
  • Coordinated implementation requirements, testing, client feedback, and follow-up with internal and client teams.
  • Monitored workflow behavior, identified failures and operational concerns, and communicated findings to inform improvements.
  • Explored Ollama and AWS tools in support of AI workflow implementation and operations.

General Manager at Jai Jeewan Trading Co (2024-02 – 2026-03)

  • Managed daily store operations, coordinating sales, customer service, staff responsibilities, and routine procedures.
  • Used Excel to review sales, costs, and product performance to inform purchasing decisions and operational priorities.
  • Coordinated inventory and purchasing, monitoring product availability and working with suppliers to meet business needs.
  • Maintained financial and transaction records covering cash handling, credit sales, supplier payments, and reconciliations.
  • Reviewed sales and stock patterns to identify slow-moving products and support replenishment decisions.
  • Handled customer concerns and maintained working relationships with customers and suppliers.
  • Used regular recordkeeping and operational reviews to support accurate tracking of business activity.

Operations Analytics at Unacademy (2021-10 – 2023-08)

  • Coordinated operational support requests by prioritizing issues, tracking follow-ups, and directing requests to relevant teams.
  • Created process documentation, user guidance, and FAQs to support consistent operations and address recurring questions.
  • Built SQL reports and maintained Power BI and Tableau dashboards to report usage, cost, and operational performance trends.
  • Used Python to support data preparation, recurring reporting, and reconciliation of operational information.
  • Analyzed adoption, usage, and conversion data to identify patterns and areas for operational support.
  • Investigated reporting variances and provided analysis for operational reviews and planning.
  • Tracked service requests and operational issues, supporting coordination and follow-through against expected timelines.

Education

Bachelor of Commerce in coursework: Accounting, Finance, Statistics – Punjabi University (2018 – 2021)

Skills

AnalyticsAgentic AI / AI Operations

Reviews

Related