Maneet Kaur Bhatia

About Maneet Kaur Bhatia

I’m an analytics professional who loves building self-serve insight experiences—from executive dashboards to AI-powered assistants—so teams can go from question → answer → action faster.At Adobe, I’ve built and scaled GenAI and automation systems that remove recurring manual effort and improve decision-making quality. Highlights include an LLM-based Attrition Reason Engine that reached 85–90% accuracy and improved reason coverage from ~20% to 100%, plus automation that reduced recurring weekly reporting effort from ~8 hours/week to <1 hour/week. I’m also building a conversational analytics experience over a Power BI semantic model using Microsoft Fabric + Copilot, enabling stakeholders to get insights without waiting on analysts.Previously at Accenture Strategy & Consulting, I worked across dashboards, segmentation, and predictive modeling—improving reporting turnaround time by ~30%, and delivering measurable improvements in conversion and targeting outcomes for clients. I’m currently upskilling through the Johns Hopkins Applied Generative AI Certificate Program, focusing on prompt engineering, GenAI workflows, evaluation, fine-tuning, and secure/ethical AI. Interests: Product analytics, agentic workflows, Copilot/LLM experiences, experimentation mindset, and building trustworthy AI systems.

Experience

1. Business Intelligence Analyst

   Adobe

   Apr 2025 — Present · Noida, IN

   Built an LLM-driven churn/attrition reason engine (classification + summaries) for ~2K rows/run with weekly refresh; improved accuracy to 85–90% and increased coverage from ~20% → 100%, eliminating manual effort across hundreds of reps- Improved GenAI reliability and speed using AI-ready data prep, taxonomy standardization, prompt engineering (few-shot/structured), temperature tuning, token optimization, and async/multithreading- Built an automated daily upsell reason labeling pipeline: SQL → Python → server → Dataverse → Power BI, categorizing drivers such as volume, price change, product maturity for downstream reporting- Building a conversational analytics assistant over a Power BI semantic model using Microsoft Fabric + Copilot to enable stakeholder self-serve insights (reducing dependency on analysts)- Automated weekly sales-rep coaching insights emails using Power BI + Copilot + Power Automate, reducing effort from ~8 hrs/week to <1 hr/week for run + validation.

Education

• Indian Institute of Technology, Delhi

  Master of Business Administration - MBA

  2019 — 2021

• Maharaja Surajmal Institute Of Technology

  B.Tech , Computer Science

  2015 — 2019

• Bal Bharati Public School,Pitampura

  Science

  2008 — 2015