---
title: "kushith s - Data Science Intern — Agentic AI & Decision Intelligence in Bengaluru | Tal"
description: "Meet kushith s, Business Analyst Intern @ Genpact |Data Science, Agentic AI Development based in Bengaluru. AI stack includes aistudio, cursor, and langchain."
image: "https://tal.club/meet/kushith-s/share-image"
---

# kushith s on Tal

## Headline

Business Analyst Intern @ Genpact \|Data Science, Agentic AI Development

## About

As a Business Analyst Intern at Genpact, I contributed to the development of DecisionPilot AI, an innovative production\-grade platform that enables autonomous KPI monitoring, root cause analysis, revenue forecasting, simulation, and actionable recommendations\. This enterprise tool eliminates the need for manual analyst intervention and replaces static dashboards with dynamic, AI\-driven analytics\. Currently pursuing a Bachelor of Engineering in Data Science at AMC Engineering College, I specialize in Agentic AI development, data visualization, and RAG pipelines\. Passionate about bridging the gap between raw data and actionable insights, I aim to drive impactful solutions by designing and implementing systems that empower enterprise stakeholders with accessible and intelligent decision\-making tools\.

## Location

Bengaluru

## AI stack

aistudio

cursor

langchain

openai

## Work experience

Data Science Intern — Agentic AI & Decision Intelligence at GENPACT, Feb 2026 \- Present · 5 mos, Bangalore Urban, Karnataka, India, Joined as an intern\. Shipped a production AI platform used by enterprise stakeholders\. DecisionPilot AI — Built end\-to\-end, independently\. The system monitors business KPIs, identifies root causes, forecasts revenue impact, and generates simulation\-backed recommendations — all autonomously\. What used to require multiple analysts now runs on a pipeline\. Key contributions: • Designed the full 5\-stage agentic pipeline: KPI Detection → Root Cause → Forecast → Recommendation → Simulation • Built a RAG chatbot over internal business data so stakeholders could query insights in natural language — no analyst bottleneck • Replaced static Power BI dashboards with AI\-driven analytics that generate narrative context alongside the numbers • Developed ML models for revenue and cost forecasting tied directly to business decisions, not just reporting Why it works: Opens with a punchy contrast line\. Leads with the product name \(memorable\)\. Uses natural language recruiter searches will match: “agentic pipeline,” “RAG,” “LLM,” “forecasting\.”

## Education

Bachelor of Engineering \- BE, Data Science, Amc Engineering College

[View the original profile](https://tal.club/meet/kushith-s)

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