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Krishna Venkatraman

Chief Data Officer @Kueski

Palo Alto, CA, US
EMAILS
k••••••••@kueski.com
MOBILE NUMBERS
+16•••••••50

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WORK HISTORY

Feb 2022 — Present

Chief Data Officer @Kueski

San Francisco, CA, US

EDUCATION

1989 — 1994

Stanford University

PhD, Industrial Engineering

SKILLS

HadoopProduct ManagementMapreduceMicrosoft OfficeRLarge Scale OptimizationLarge Scale Machine LearningAnalysisPredictive AnalyticsHigh Performance ComputingTechnological InnovationResearchMarketing AnalyticsBusiness AnalyticsStrategyCross-Functional Team LeadershipEconometricsPythonPersonalizationEnterprise SoftwareDistributed SystemsCustomer ServiceBusiness Process ImprovementMentoringPredictive ModelingManagementStatistical ModelingData MiningSupply Chain ManagementBusiness IntelligenceLeadershipPublic SpeakingPricingOptimizationProject ManagementMicrosoft WordScalabilityArtificial IntelligenceRisk ManagementAlgorithms

ABOUT KRISHNA VENKATRAMAN

Executive and senior technologist leading and building teams that delight and benefit communities and users by addressing important business and social challenges through innovative data science and software.Professional Background§ Experienced executive and technical leadership and management of business and data teams with an outstanding record of bringing disruptive technology and innovation to market§ Dedicated and committed to developing work cultures that reward customer focus, innovation, teamwork, integrity and accountability§ Broad, deep, hands on experience and expertise in machine learning, data science, data governance, data engineering, A/B testing, ML DevOps and large scale optimization applied to marketing, pricing, personalization, social networks analysis, credit risk management and supply chain management§ Languages: Python, Java, Scala, R, SQL§ Software Tools and Frameworks: Tensorflow, Kafka, Kubernetes, Kubeflow, Spark§ Technical Expertise: Large scale Optimization, Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Image Recognition, Social Network Analysis, Statistical Modeling, Econometrics, Causality§ Domain Expertise: Personalization, Pricing, Credit Risk, Fraud Detection, Marketing Analytics, Supply Chain Management

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