★ Role : I am an Analytics, Machine Learning professional with 6.5 years of enterprise experience. My skills includes everything required to aid large enterprises with data-driven solutions and decisions at scale. • With the rich intersection of Math, Business and Technology skills; I bring to the table a unique combination of an interdisciplinary perspective • My experience is spread over 3 different verticals namely Retail,Electronic Retail and CPG and have worked across various teams: Loyalty Management, Category, Inventory Management, Pricing etc ★ Specialised Skills [ Data Science | Decision Science] • Tools & Technology - R, SQL, SAS, Python, MS Excel • Machine Learning - Linear & Logistic Regression, Random Forest, Boosting, Market Basket Analysis ★ Key tasks : • Understand business requirements to formulate problems and come up with customised and white box solutions. • Synthesise and analyse data from multiple sources using various analytical tools/techniques/Statistical models to come up with an effective and feasible solution to the business problem. • Develop and implement innovative analytical and/or statistical methodologies for evaluating client processes, business problems, and/or ROI of products and services. Identify, formulate and drive problem definition to the specific business environment. • Develop multifaceted project plans to assist in the delivery of analytic frameworks leveraging multiple data elements and modelling techniques • Mentored and offered consultation for Senior Analysts and analysts on how to appropriately guide the creation and delivery of analytic projects.