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Rachit Goyal

@rachitgoyal

I lead enterprise applied AI and data science teams, delivering predictive and LLM solutions that drive measurable business impact.

India

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What I'm looking for

I’m looking to lead applied AI/data science teams building LLM and predictive products in production—partnering closely with stakeholders to deliver measurable business impact through scalable platforms, intelligent automation, and strong engineering execution.

I’m a Senior Data Science & Applied AI leader with 15+ years of experience building production-ready analytics and machine-learning systems across insurance, telecom, and financial services. I translate complex business problems into scalable, measurable AI outcomes.

At SunLifeFinancial, I built an end-to-end ML lead scoring model for lead conversion optimization, delivering a 3% conversion uplift versus a 1% target and driving $5.9M CAD revenue gain (pilot: ~2 months). I also led an LLM-driven document analyser using NER to scan 10k documents and flag discrepancies in 38% of cases.

Beyond core modeling, I’ve delivered intelligent automation that changes real user behavior—an IFM call analyser reduced 84% of call-center traffic by enhancing a digital portal. I lead high-performing data science teams, align stakeholders through every lifecycle step, and run innovation programs like cross-market Data & Analytics Hackathons.

Earlier roles strengthened my foundation in decisioning and growth systems: Next Best Offer and abusive claim prediction improved prioritization and STP applications by 35%, while my portfolio also includes segmentation, forecasting, and location-based engines. I bring deep ML/NLP expertise and a growing focus on LLM applications, RAG, and agentic AI.

Experience

Work history, roles, and key accomplishments

Current

Sr. Manager

Current

Sun Life Financial

Jan 2022 - Present (4 years 5 months)

Built an end-to-end ML lead scoring model that improved lead-to-conversion by 3% (vs. 1% target) and generated $5.9M CAD revenue gain ($77M annualized uplift) in a pilot. Led NLP/LLM initiatives including an NER document analyser flagging discrepancies in 38% of 10k+ documents and an LLM call analyser that reduced call traffic by 84% to improve the digital portal.

Lead Scoring predictive modeling LLM Call Analytics NLP Team Leadership

Manager

Sun Life Financial

Jan 2019 - Dec 2021 (2 years 11 months)

Delivered champion models for next-best-offer, including upsell/cross-sell and abusive claim prediction to proactively notify claim processing teams. Built a claim prioritization pipeline that improved STP applications by 35% and developed a Client 360° suite using classification, regression, clustering, and geo-tagging.

Next Best Offer Classification Regression Modeling Fraud Abusive Claims Prediction Clustering Recommendation Systems

Manager

Evalueserve

Oct 2016 - Dec 2018 (2 years 2 months)

Built and managed a data science team delivering advanced analytics and predictive models presented to senior stakeholders. Created and delivered dashboards to consolidate data into a single source of truth for business decision-making.

advanced analytics predictive modeling Data Visualization Dashboard Development Stakeholder Management Team Building Analytics & Strategy

Manager - Marketing Analytics

American Express

Feb 2014 - Oct 2016 (2 years 8 months)

Led marketing analytics for consumer engagement and loyalty driven by Membership Rewards, including automation of share-of-wallet analysis to identify corporate expenditure leakage. Supported sales teams across ~2,000 global clients and won Shark Tank 2.0 for identifying a $2B business opportunity with a roadmap to close the gap.

Marketing Analytics Data Storytelling Team Leadership

Asst. Manager - Marketing Analytics

American Express

Feb 2014 - May 2015 (1 year 3 months)

Built an attrition model to predict corporate client likelihood to churn and provide early-warning signals for sales teams. Conducted campaign analysis including targeting, campaign construction, and post-campaign evaluation while serving as key SPOC for engagement and training.

predictive modeling Campaign Analysis Data Analysis Reporting

Management Consulting Analyst

Accenture

Mar 2012 - Feb 2014 (1 year 11 months)

Owned end-to-end MROI work for a US telecom client, including descriptive analytics, data preparation, market mix modeling, and results collation across 210 geographies. Automated parts of the workflow to cut result processing time by half and applied OOS/OOT testing to validate model performance.

OOS OOT Validation Descriptive Analytics Data Preparation Process Automation

Analytics Consultant

Meritus Analytics

Jul 2011 - Feb 2012 (7 months)

Prepared market mix models for a fast-food chain across different geographies to support marketing performance analysis. Delivered analytical outputs to help translate business questions into data-driven recommendations.

Data Preparation Analytics Reporting

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Roorkee

Integrated Dual Degree (M.Tech & B.Tech), Chemical Engineering

2005 - 2010

Earned an Integrated Dual Degree (M.Tech and B.Tech) in Chemical Engineering. Dissertation work focused on mathematical modeling of Fischer-Tropsch synthesis using MATLAB.