An accomplished analytics professional, with a passion for consulting and adding value to brands through actionable marketing strategy, business strategy and consumer insights; driving growth in brand sales, digital and offline marketing funnel KPI for pedigree clients: Unilever, Johnson & Johnson, AB InBev, Ferrero, Nivea, Nissan, Volkswagen, CaratLane.com.I have a strong grounding in all three crucial pillars of analytics; Statistics – quality econometric modelling skills, Data Science – machine learning skills, extensive business domain knowledge - FMCG, Automotive, Media industries.The unique skill-set I bring to the table, is the ability to effectively engage with both business stakeholders and analytics / technology stakeholders.Marketing domain knowledge :Deep involvement with client marketing teams, ex. Unilever, on annual brand planning strategy lasting 3 months: brand SWOT, annual brand KPI setting, consumer deep dives, understanding marketing funnel dynamics – strong capabilities in business problem understanding, model interpretation from business perspective, effectively communicating complex analytics concepts to business stakeholders.Marketing Analytics Expertise - Deep Dive : I can contribute effectively to all stages of analytics projects: crafting analytics solutions to solve business problems, choosing appropriate analytical techniques, model architecture and building – strong capabilities in dealing with analytics / technology stakeholders.In-depth knowledge of marketing response models – 50+ Market Mix Modelling, Media Mix Modelling, Content Analytics projects across 32 brands of pedigree clients, involving predictive and prescriptive analytics, analysing impact of both digital advertising and offline advertising on brand sales and marketing funnel KPI, strong grounding in quantitative research / qualitative research databases (Nielsen Retail Audit, MB Brand Health Tracker, Internal Sales, CRM data), and media databases (TAM / BARC)Functional Analytics Skills :Multivariate RegressionMachine Learning – Logistic Regression, Clustering, Decision TreesBI Tools (Qlik Sense, Tableau)R (Statistical Modelling, Visualization)Working knowledge of Python, MS Azure ML Studio, SQL, PySpark, NLP
Listed skills include Marketing Analytics, Media Analytics, Statistical Modeling Using R, Consumer Behaviour, and 7 others.