---
title: "Raj kumar Vellaisamy - Business Analytics, Analyst (Data Analyst II) in Coimbatore | Tal"
description: "Meet Raj kumar Vellaisamy, Senior Analyst, Advanced Analytics | Data Scientist | Machine Learning & Statistical Modeling based in Coimbatore. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/raj-kumar-vellaisamy/share-image"
---

# Raj kumar Vellaisamy on Tal

## Headline

Senior Analyst, Advanced Analytics \| Data Scientist \| Machine Learning & Statistical Modeling

## About

Advanced Data Analyst with 8\+ years of experience driving product strategy, operational efficiency, and revenue growth through statistical modelling and machine learning\. Expert in designing rigorous A/B testing frameworks, deploying predictive models \(clustering, NLP, forecasting\), and bridging the gap between raw data and executive decision\-making\. Proven track record leveraging SQL, Python, and R to surface $17M\+ in revenue opportunities and optimise complex business work flows across global operations, digital marketing, and financial processes\.

## Location

Coimbatore

## AI stack

antigravity

codex

cursor

## Work experience

Business Analytics, Analyst \(Data Analyst II\) at Avantor, Jul 2025 \- Present · 1 yr 2 mos, Coimbatore

Data Analyst I at Avantor, Jun 2023 \- Jul 2025 · 2 yrs 2 mos, Hybrid, Campaign Analytics Lead: Directed global analytics for the FY24\-25 GROW campaign, surfacing and operational\- ising $17M\+ in incremental revenue\. • Experimentation: Evaluated campaign models via email open rates, landing\-page CTRs, and purchase conversion rates using 2\-proportion Z\-tests and Chi\-Square tests\. • Campaign Quali cation Framework: Developed a forecasted\-uplift methodology to govern campaign deployment; rebuilt attribution logic and campaign impact tracking\. • Predictive Targeting & CLV: Built a churn prediction model \(K\-Means \+ RFM\), a cross\-sell/up\-sell recommendation engine \(Apriori/FP\-Growth\), and CLV models using BG/NBD\. • Advanced NLP & Segmentation: Impact Award recipient developed a customer similarity framework using BERT, HDBScan, FAISS, and PELT to identify under\-penetrated product clusters\. • Pricing & Inventory: Built a Time to Sell predictive model and a growth\-potential model feeding directly into the pricing renewal engine\.

Associate at Skill\-Lync, Feb 2022 \- Nov 2022 · 10 mos, Built a propensity model using logistic regression to predict customer purchase likelihood from prior interaction data\. • Developed a Power BI brand\-reputation dashboard tracking Aggregate Sentiment Scores, Review Volume Velocity, NPS Proxies, and Issue Escalation Rates; insights drove a 43% lift in positive reviews\.

Technical Support Incharge at Isha Foundation, Apr 2019 \- Feb 2022 · 2 yrs 11 mos, Developed a footfall prediction algorithm \(DoW moving average \+ recent trend factor\) to improve operations planning and sta ng e ciency\. • Built CFO\-facing dashboards tracking fund utilisation, tranche timelines, and ROI across large\-scale community projects\. • Automated finance work ows, improving voucher movement rate by 23%; led migration to Odoo ERP across nance and operations modules\.

Business Development \- Market Expansion Research at Zouse, Jan 2017 \- Jun 2018 · 1 yr 6 mos, Chennai, • Built a Whitespace Opportunity Index scoring 200\+ micro\-markets; identi ed 15 high\-demand, low\-competition zip codes, driving a 25% increase in cross\-sold services\. • Analysed competitor density against demographic growth trends to redirect sales focus, reducing Customer Acquisition Cost by 15%\.

## Education

Master of Science in Computer Science, Artificial Intelligence and Machine Learning, Woolf

[View the original profile](https://tal.club/meet/raj-kumar-vellaisamy)

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