---
title: "Kashish Yadav - Data Analyst Intern in Greater Delhi Area | Tal"
description: "Meet Kashish Yadav, Data Analyst | Ex-SaiKet Systems | Power BI · SQL · Python · Palantir Foundry | Built Churn Prediction System (90% ETL Efficiency Gain) | B.Tech AI & Robotics ’27 | Open to High-Impact Roles based in Greater Delhi Area."
image: "https://tal.club/meet/kashish-21/share-image"
---

# Kashish Yadav on Tal

## Headline

Data Analyst \| Ex\-SaiKet Systems \| Power BI · SQL · Python · Palantir Foundry \| Built Churn Prediction System \(90% ETL Efficiency Gain\) \| B\.Tech AI & Robotics ’27 \| Open to High\-Impact Roles

## About

I specialize in turning messy operational data into revenue decisions\. At SaiKet Systems, I rebuilt a 2\-hour manual ETL process into a 20\-minute automated Power Query pipeline \(90% time reduction\) and built a churn segmentation model on 7,000\+ telecom records that identified high\-risk cohorts by ARPU and retention score\. Outside intern hours, I’ve built enterprise\-grade workflows in Palantir Foundry \(9\-step ontology build, 184K\+ objects, AIP Logic functions\) and shipped KASH\.AI — a personal analytics agent using Claude \+ Gemini APIs to automate career intelligence\. I don’t just visualize data\. I build the pipelines, define the metrics, and write the narrative that makes executives act\. Currently seeking a Data Analyst role where I can own a metric, not just a dashboard\. If your team needs someone who can go from raw extract to boardroom slide without hand\-holding, let’s talk\.

## Location

Greater Delhi Area

## Work experience

Data Analyst Intern at SaiKet Systems, Mar 2026 \- Mar 2026 · 1 mo, India, Built an end\-to\-end churn analytics suite on 7,043 customer records, reducing manual reporting overhead by 6\+ hours/week for the retention team Replaced a 2\-hour manual Excel workflow with an automated Power Query ETL pipeline, cutting processing time by 90% and eliminating human error in monthly churn reports Defined 3 core KPIs \(Churn Rate, ARPU, Retention Risk Index\) in DAX, enabling the sales lead to prioritize outreach to the highest\-risk $ARPU tier Delivered an executive dashboard adopted for weekly leadership reviews, translating churn probability into projected revenue at risk Wrote the narrative layer for non\-technical stakeholders, directly linking churn cohort behavior to CLV degradation and retention ROI

## Education

Bachler Btech AI & R, World College of Technology & Management,Farukh Nagar\-Haley Mandi Road,Gurgaon

[View the original profile](https://tal.club/meet/kashish-21)

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