Varun Dhamija profile photo 1 on Tal

Varun Dhamija

Principal Consultant - AI at Sun Life

Gurugram

11+ years of work experience

Sun Life
Apr 20264 mosPresent

Gurugram, Haryana, India

CaratLane - A TATA Product
Apr 20242 yrsMar 2026

Delhi, India

Lead Data Scientist – CaratLane (Titan Group) Jun 2022 – Present Key Achievements: 🚀 Prospect Model: Designed and deployed a machine learning model identifying high-intent users, contributing ₹170 Cr in added revenue in FY23–24. 🤖 Project Samantha: Built a Generative AI assistant to create personalized email/SMS/pitch scripts for sales and marketing campaigns. 📉 Media Spend Optimization: Leading the development of ML models to optimize paid media cost for CPC, ROAS. Tech & Tools: Python, SQL, Scikit-learn, LangChain, OpenAI API, RAG Pipelines, AWS
CaratLane - A TATA Product
May 20231 yrApr 2024

Chennai, Tamil Nadu, India

CaratLane - A TATA Product
Jun 20221 yrMay 2023

Delhi, India

Infogain
May 20211 yr 1 moMay 2022

Noida, Uttar Pradesh, India

Jan 2015 – May 2022 As a Senior Consultant in the Advanced Analytics team, I built and deployed AI/ML solutions across insurance, telecom, and media domains, with a strong focus on solving real-world business problems using deep learning, computer vision, and predictive analytics. Key Projects & Contributions: 🖼️ Insurance Fraud Detection via Image Analysis: Led a deep learning project to detect fraudulent insurance claims using car damage images. Trained a CNN model (ResNet-based) to identify whether a submitted claim image corresponded to previously processed claims (potential duplicate or fabricated claims). This automated check flagged ~22% of fraudulent claims, significantly reducing manual review load and saving ~$1M annually for a top US insurer. 🧠 Emotion Recognition System: Built a voice-based emotion recognition model using spectrograms and CNNs for a telecom contact center. Helped classify customer emotions (angry, neutral, happy) to inform real-time agent response and post-call analytics, improving NPS by 15%. ⚙️ Full-Stack ML Delivery: Owned model lifecycle from problem formulation to deployment using Python, TensorFlow, and Flask APIs. Created real-time inference pipelines and integrated dashboards using Tableau and Power BI for business insights. 🤝 Client-Facing Delivery: Acted as the technical liaison with client stakeholders, translating business objectives into data science roadmaps and actionable KPIs. Tech Stack: Python, TensorFlow, Keras, OpenCV, SQL, Flask, AWS (EC2, S3), Git, Tableau, Power BI
Infogain
Apr 20182 yrs 10 mosJan 2021

Noida, India

Data Scientist at Infogain
Infogain
May 20153 yrsApr 2018

Noida, Uttar Pradesh, India

Infogain
Jan 20154 mosApr 2015

Noida, Uttar Pradesh, India

Education

Punjab technical university

Bachelor of Technology (B.Tech.), Information Technology

Punjab technical university

20114 yrs2015

Science

GTB Khalsa Sen. Sec. School

20092 yrs2011

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Headline

Principal Consultant - AI at Sun Life

About

Principal Consultant with extensive experience in Data Science, Machine Learning, and AI-driven product development, specializing in translating complex business challenges into scalable, data-powered solutions. I have led end-to-end initiatives across predictive analytics, customer intelligence, risk modeling, recommendation systems, and MLOps, partnering closely with business leaders, engineering teams, and stakeholders to deliver measurable impact. My expertise spans classical machine learning, large-scale data platforms, cloud-native architectures, and modern AI applications. Currently at Sun Life, I focus on providing strategic guidance, technical leadership, and architectural direction for enterprise data science and AI initiatives. I am passionate about building high-performing teams, establishing best practices, and driving innovation through practical, value-oriented solutions. I believe the most effective solutions emerge at the intersection of strong technical foundations, business understanding, and collaborative leadership. Core areas of expertise: • Machine Learning & Predictive Analytics • Generative AI & LLM Applications • Cloud Architecture (AWS) • Data Engineering & Scalable Systems • Stakeholder Management & Consulting • Team Mentorship and Technical Leadership

Location

Gurugram

Work experience

Principal Consultant - AI at Sun Life, Apr 2026 - Present · 4 mos, Gurugram, Haryana, India

Lead Data Scientist at CaratLane - A TATA Product, Apr 2024 - Mar 2026 · 2 yrs, Delhi, India, Lead Data Scientist – CaratLane (Titan Group) Jun 2022 – Present Key Achievements: 🚀 Prospect Model: Designed and deployed a machine learning model identifying high-intent users, contributing ₹170 Cr in added revenue in FY23–24. 🤖 Project Samantha: Built a Generative AI assistant to create personalized email/SMS/pitch scripts for sales and marketing campaigns. 📉 Media Spend Optimization: Leading the development of ML models to optimize paid media cost for CPC, ROAS. Tech & Tools: Python, SQL, Scikit-learn, LangChain, OpenAI API, RAG Pipelines, AWS

Senior Data Scientist at CaratLane - A TATA Product, May 2023 - Apr 2024 · 1 yr, Chennai, Tamil Nadu, India

Data Scientist at CaratLane - A TATA Product, Jun 2022 - May 2023 · 1 yr, Delhi, India

Senior Consultant Data science at Infogain, May 2021 - May 2022 · 1 yr 1 mo, Noida, Uttar Pradesh, India, Jan 2015 – May 2022 As a Senior Consultant in the Advanced Analytics team, I built and deployed AI/ML solutions across insurance, telecom, and media domains, with a strong focus on solving real-world business problems using deep learning, computer vision, and predictive analytics. Key Projects & Contributions: 🖼️ Insurance Fraud Detection via Image Analysis: Led a deep learning project to detect fraudulent insurance claims using car damage images. Trained a CNN model (ResNet-based) to identify whether a submitted claim image corresponded to previously processed claims (potential duplicate or fabricated claims). This automated check flagged ~22% of fraudulent claims, significantly reducing manual review load and saving ~$1M annually for a top US insurer. 🧠 Emotion Recognition System: Built a voice-based emotion recognition model using spectrograms and CNNs for a telecom contact center. Helped classify customer emotions (angry, neutral, happy) to inform real-time agent response and post-call analytics, improving NPS by 15%. ⚙️ Full-Stack ML Delivery: Owned model lifecycle from problem formulation to deployment using Python, TensorFlow, and Flask APIs. Created real-time inference pipelines and integrated dashboards using Tableau and Power BI for business insights. 🤝 Client-Facing Delivery: Acted as the technical liaison with client stakeholders, translating business objectives into data science roadmaps and actionable KPIs. Tech Stack: Python, TensorFlow, Keras, OpenCV, SQL, Flask, AWS (EC2, S3), Git, Tableau, Power BI

Data Science Consultant at Infogain, Apr 2018 - Jan 2021 · 2 yrs 10 mos, Noida, India, Data Scientist at Infogain

Software Engineer at Infogain, May 2015 - Apr 2018 · 3 yrs, Noida, Uttar Pradesh, India

Software Engineer trainee at Infogain, Jan 2015 - Apr 2015 · 4 mos, Noida, Uttar Pradesh, India

Education

Bachelor of Technology (B.Tech.), Information Technology, Punjab technical university

Science, GTB Khalsa Sen. Sec. School