Rachit Goyal

Rachit Goyal

AI Explorer and Data Science Based Solution Builder

Enterprise AI/ML & GenAI | 15+ Years Turning Data into Business Impact

I build AI & Data solutions that create real business impact.

Senior Data Science & Applied AI Leader with 15+ years of experience building enterprise ML, GenAI, and LLM-driven solutions across insurance, telecom, and financial services. Proven at leading teams, shipping production AI products, and translating complex business problems into measurable impact. IIT Roorkee graduate.

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About

Blending Science with Leadership

Summary
Senior Data Science & Applied AI Leader with 15+ years of experience building enterprise ML, GenAI, and LLM-driven solutions across insurance, telecom, and financial services. Proven at leading teams, shipping production AI products, and translating complex business problems into measurable impact. IIT Roorkee graduate.
Education

Indian Institute of Technology (IIT) Roorkee

M.Tech + B.Tech Integrated Dual Degree

Chemical Engineering

Dissertation: Mathematical modelling of Fischer-Tropsch synthesis using Matlab

Expertise

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Revenue Growth via AI

Translating models into measurable P&L outcomes

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Customer Experience

Reducing friction through insight-led journey design

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Cost & Automation

Driving savings via intelligent, automated workflows

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ML & LLM Systems

Scoring, prioritization & decision engines at scale

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End-to-End Delivery

From problem framing to production deployment

Impact

Featured Projects

WIP
In Progress
AI Innovation

KnowledgeAI Agent

Agentic AI assistant that lets employees query internal policies, HR guidelines, and operational knowledge in natural language โ€” replacing slow manual searches. Phase 1 (Chat Agent) is live; Phase 2 (Voice Agent) is in progress.
    GenAIAgentic AIAWS BedrockRAG
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$77Mn CAD
Annualized Sales Uplift
Sales Optimization

Opportunity Scoring Model

End-to-end ML lead scoring model to prioritize high-conversion prospects. Pilot (2 months): 3% conversion uplift vs. 1% target, $5.9M CAD revenue gain, $77M annualized uplift.
    MLClassificationSales Optimisation
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84%
Call Traffic Reduction
Operations Efficiency

CallSense AI

LLM-powered call analytics pipeline processing 25K recordings from a run-off individual insurance book. Surfaced 74% of calls as deflectable to digital and 61% as repeat contacts against a $22/call cost burden. Pilot (6 months): 32% volume reduction, 48% shorter avg. call duration, $113K saved โ€” $1.1M annual optimization potential from a $1.5M servicing cost base.
    LLMNLPCustomer Experience
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82%
Mismatch Detection Rate
Operations Efficiency

Smart SpecSync

AI-powered document reconciliation engine detecting mismatches between client-facing PDFs and operations Excel configs using SpaCy NER. Proactively flagged mismatches in 82% of documents โ€” with 19% classified as critical โ€” replacing reactive cross-team validation with automated governance.
    NLPSpaCyOperations Excellence
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$86Mn
Incremental Spend Realized
Sales Growth

Share of Wallet

Data-driven spend intelligence model quantifying $2Bn annual share-of-wallet opportunity across corporate clients. Three-lever framework (card penetration, merchant acceptance, behavioral leakage) segmented $996Mn of immediately actionable cases. Pilot scope $226Mn โ†’ $86Mn incremental spend realized. Winner of American Express Shark Tank.
    Spend AnalyticsRevenue GrowthCorporate Cards
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35%
STP Improvement
Operations Efficiency

Abusive Claim Prediction

Champion model detecting frequent, early, and fraudulent claims, creating an effective pipeline for claim team prioritisation.
    Fraud DetectionClassificationInsurance
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Multi-use
Platform Asset
Platform Asset

Geo Tagging Engine

Location-based profiling engine using address/lat-long as input. Used as data source for ML models, advisor apps, and servicing teams.
    GeospatialFeature EngineeringPlatform
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210
Geographies Modelled
Marketing MRoI Optimization

Market Mix Model

Panel-level time series regression quantifying ROI across TV, Search, Print, and Email channels. Automated results pipeline cut processing time by 50%.
    Time SeriesRegressionMarketing Analytics
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kmakb.com
Live Product

Khane Me Aaj Kya Banega

Hindi-language food & recipe website helping home cooks answer the eternal daily question โ€” what to cook today? Curates recipe ideas, meal inspiration, and cooking guides for everyday Indian kitchens.
    Food TechHindiWebRecipes
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Career

Experience Timeline

2026
  • Opportunity Scoring Model: End-to-end ML lead scoring model to prioritize high-conversion prospects โ€” 3% conversion uplift (vs. 1% target), $5.9M CAD revenue gain, $77M annualized uplift.
  • CSR Document Analyser: Led UI & engineering team to build a NER-based entity recognition solution; scanned 10k documents and flagged discrepancy in 38% of documents.
  • IFM Call Analyser: LLM-based tool to analyse high call volumes into actionable topics, driving 84% reduction in call centre traffic to digital portal.
  • Developed innovative AI/ML assets: Data Synthesizer and Anonymizer as reusable enterprise platforms.
  • Created and led a high-performing data science team with the right mix of skills and expertise.
  • Collaborated cross-functionally to host Data & Analytics Hackathon across markets.
2021
2018
2016
2015
2014
2012
2011
Expertise

Core Skills

Leadership & Management

Stakeholder ManagementClient ManagementPeople ManagementProduct Management (AI Products)Value EstimationSolutioningMentorship

AI & GenAI

Agentic AIVector DBMCP IntegrationsRAG ApplicationsOpen Source LLMsProprietary LLMsIntelligent Automation

Data Science / ML

Predictive ModellingRecommendation EngineCustomised AI SolutionsNLP / Entity RecognitionTime Series ForecastingProblem Solving

Analytics

Descriptive AnalyticsDiagnostic AnalyticsPredictive AnalyticsPrescriptive Analytics

Tree-Based & Classical Algorithms

XGBoostAdaBoostRandom ForestSVMLinear & Non-Linear RegressionCox PH

Deep Learning

ANNCNNRNNLSTMLLM

Unsupervised Learning

Hierarchical ClusteringK-Means / K-Means++DBScanAprioriGraph-Based AssociationsCollaborative Filtering

Platforms & Tools

PythonSASRAWS SagemakerAWS BedrockAWSHerokuTableauSAS Visual AnalyticsPowerBIExcelMatplotlibSeabornSHAP
Beyond Work

Hobby Projects

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Gardening

Growing vegetables, herbs, and flowers at home. A hands-on way to slow down, connect with nature, and enjoy the satisfaction of nurturing something from seed to harvest.
    NatureWellnessHome
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Piano

Learning and playing piano as a creative outlet. Music helps sharpen focus and offers a refreshing contrast to data-driven work โ€” a different kind of pattern recognition.
    MusicCreativityLearning
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Cooking

Experimenting with recipes from across India and beyond. Cooking blends creativity with precision โ€” much like data science, a good dish requires the right ingredients in the right proportions.
    FoodCreativityFamily

Interested in working together?

Open to discussing data science leadership roles, consulting opportunities, or collaborations.

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Gurgaon
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