Shaveta Kapoor

CEO

Gurgaon, Haryana, India16 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led a team of 100+ data scientists.
Championed data-driven business transformation.
Expert in media analytics and customer behavior.

Stackforce AI infers this person is a Data Science leader specializing in analytics and business transformation.

Contact

Skills

Core Skills

Strategic VisionData ScienceMedia AnalyticsCustomer Behavior AnalyticsPredictive AnalyticsCustomer Behavioral AnalysisData AnalyticsMerchandising AnalyticsCustomer InsightsData Analysis

Other Skills

Analytical SkillsArtificial Intelligence (AI)Business AnalysisBusiness AnalyticsBusiness IntelligenceBusiness StrategyBusiness TransformationCRMCluster AnalysisCommunicationCompetitive AnalysisCross-team CollaborationCustomer AnalysisCustomer AnalyticsCustomer Experience

About

A seasoned data science professional with rich experience of leveraging data driven insights, data science & AI at scale to drive transformation and delivering Business impact across multiple clients globally over years. One of the fastest grown data science leaders and a business transformation champion within dh. Proven track record of setting-up and scaling data science solutions and teams across developed and emerging markets. Leads the Media Analytics hub of 100+ data scientists within dh which is responsible for continuously delivery media science to our clients along with developing new solutions, embedded with latest data, analytics, and AI in order to drive innovation for our clients globally. Passionate about solving complex business problems at the intersection of data, technology, and people leveraging a growth mindset and multi-disciplinary teams. An ideator, thinker and learner, I enjoy new experiences and challenges.

Experience

Dunnhumby

5 roles

Global Applied data science Head of Media Products

Promoted

Sep 2020 – Present · 5 yrs 6 mos

Leading implementation of dunnhumby media’s strategic and operational plans with a specific focus on transformation in context of technology and analytical renewal. Responsible for continual improvement of dunnhumby’s Media Analytics capability. Alongside supporting the development of best-in-class media products and has enabled effective ways of working between the product, proposition, analysts, and client teams within dunnhumby. Championed the adoption of latest technology within the Data Science community whilst seamlessly building the bridge between Data Science and Product teams.

Strategic VisionCross-team CollaborationData Science

Applied Data Science Manager

Promoted

May 2017 – Sep 2020 · 3 yrs 4 mos

Leading one of the largest and most uniquely structured teams for Tesco - Largest UK grocery retailer and its FMCG partners over the last 3 years. Using data science and customer behavior analytics to solve bespoke client problems and bring customer centricity to focus of business decisions across business functions with focus on scalability and efficiency

Cross-team CollaborationData ScienceCustomer Behavior Analytics

Lead Applied Data Scientist

Promoted

Oct 2013 – Apr 2017 · 3 yrs 6 mos

Worked on Strategic insights team for Tesco - across geographies to help use the power of data for business decisions. Used predictive analytics and customer behavioral analysis to solve bespoke client problems in loyalty schemes and multichannel arena. Tech focus on SQL, Python and ML

Predictive AnalyticsCustomer Behavioral Analysis

Applied Data Scientist

Promoted

Jan 2011 – Oct 2013 · 2 yrs 9 mos

Worked on Merchandising analytics team for a fashion retailer in US - Macys to help use data to make planning decisions across categories .Designed Pre season Kit planner board for Macys team with high transperancy with senior stakeholders at the client.

Data AnalyticsMerchandising Analytics

Associate Applied Data Scientist

Jun 2009 – Jan 2011 · 1 yr 7 mos

Worked on CPG focussed insights team of a major retailer in US. From Measurement of campaigns to customer segmentation using shopping data to help business decisions

Customer InsightsData Analysis

Jm financial asset management company

Finance Intern

Feb 2008 – May 2008 · 3 mos

Help the mutual fund house compare the performance of their key mutual fund schemes and compare them to market funds on the risk and return parameters.