Rakesh Dhara

Data Science & Analytics Consultant @LatentView Analytics

Toronto, ON, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2025 — Present

Data Science & Analytics Consultant @LatentView Analytics

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Toronto, ON, CA

Client: Databricks (100%)Delivered projects across GTM, Sales, Product Marketing, Field Marketing, Web Product teamsGTM Analytics:Lead ScoringLead Funnel OptimizationEngagement ScoringAccount ScoringWeb Product:Web Product AnalyticsTools/ Techniques:Statistics, ML Modelling (Classification, Regression, Causal Inference, SHAP Interaction Values)

EDUCATION

2012 — 2014

Indian Institute of Management, Calcutta

Master of Business Administration - MBA, Business Administration and Management, General

2020 — 2021

Smith School of Business at Queen's University

Master's in Management Analytics

2008 — 2012

Birla Institute Of Technology and Science, Pilani Dubai

B.E. (Hons.), Computer Science

SKILLS

Market ResearchCMicrosoft OfficeBusiness StrategyManagementMulti-Channel MarketingBusiness AnalysisLeadershipCross-Functional Team LeadershipMarketing StrategyTeam ManagementMarketingMarketing Management

ABOUT RAKESH DHARA

Developed, deployed machine learning models and derived insights to generate business value across organisations in multiple Data Science and Marketing Analytics roles over 9+ yearsKey Achievements- Increased basket size by 2%, purchase frequency by 3% per campaign using customer propensity models for offer personalisation of 10+ email marketing campaigns- Improved click rate by 7%, conversions by 5% by developed hypotheses, defined key metrics, implemented and iterated on A/B test experiments to optimise product features and marketing communication templates- Developed, deployed and monitored regression, classification, clustering, association rules models across multiple business use cases (CLV, offer personalisation, segmentation, product bundling etc.)- Created a proprietary Share Shift Validation methodology to quantify the impact of merchant promotions on business KPIs (avg. revenue, avg. transactions, avg. order value) using a combination of A/B testing and uplift modellingKey Skills/Tools- Analytics: SQL, Python, PySpark, A/B Testing, Uplift Modelling, Snowflake, Databricks, Designing Experiments, Statistical Analysis- ML implementation: Classification, Clustering, Regression, Recommender Systems, Association Rules- Business: Market Research, People Management, Project Management, Customer Acquisition Strategy, Campaign Management

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Rakesh Dhara — Data Science & Analytics Consultant at LatentView Analytics in Toronto, ON, CA | Unifers