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Raj kumar Vellaisamy

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

Coimbatore

8+ years of work experience

Avantor
Jul 20251 yr 2 mosPresent

Coimbatore

Avantor
Jun 20232 yrs 2 mosJul 2025

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.
Skill-Lync
Feb 202210 mosNov 2022

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.
Isha Foundation
Apr 20192 yrs 11 mosFeb 2022

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.
Jan 20171 yr 6 mosJun 2018

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%.

Raj’s AI Stack

antigravity
antigravity
codex
codex
cursor
cursor

Education

Woolf

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

Woolf

20233 yrs2026

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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