Creating quarterly models to quantify the short-term impact of media execution on sales; in turn providing the business team with specific recommendations to optimize Media ROIs Assisting Business Team with 1YP to optimally allocate spends, to increase net revenue while adhering to media principles  Supporting Business teams to design the media campaigns based on the financial and marketing constraints to help them drive optimal Reach as well as improve the ROIs; hence optimizing Campaign Spends pre execution

Pure Premium Pricing Models for US Based Insurance Firm: Created multiple statistical models that calculates pure premium for auto insurances at driver and vehicle levels Applied GAM and GLM approaches to fit pure premium assuming Poisson distribution for frequency and Gamma for severity  Smoothened the resulting model results by using Inverse Distance Weighted Algorithm to minimize the variances in pure premium with respect to geographical locations

Worked with leading Financial services provider in Australia:1,Built classification models to identify customers who are likely to churn in their next renewal cycle2.Automated the entire process from modelling data set creation to scoring the customers using shell script and Crontab

Worked with the leading Financial Services provider in Australia for:1.Personalized Marketing and Ads Campaign:- Identified and segmented different types of customers in Home and Motor space based on their policy and customer attributes- Built classification models to predict allocation of new customers into predefined segment2. Model Monitoring:- Worked on creating a framework to monitor model performance over-time, while taking into account changes in behavior of the input data and on-the-go comparison with other models

Worked for the one of the leading conglomerate in UAE to provide organizational health assessment to C-level stakeholders:1.Created a one-stop solution iOS application for getting a holistic picture of health of organization across Human Capital, Finance and Marketing Domain2.Developed decision board framework and user story flow to help business realize the best solution and developed iOS app to provide "on the go" business insights

Worked with Advanced Analytics team of largest Athleisure company in the US to analyze Lost Demand:1.Identified similar products corresponding to a product based on product features using Random Forest and Gower's algorithm2.Created an R Shiny tool for visualizing similar products for a selected product3.Calculated probability of a customer buying an alternate product given the product of choice is out of stock using product similarity data set

Led sales and growth efforts to open engagements in Fortune 100 company. Mined for opportunities, built strategies & proposals and presented to senior executives of client organization

Worked as a team lead of 4 members with Direct to Consumer Stores Management team for Leading Athleisure company in the US1. Conceptualized the layout of Store reports across different geographies2. Creation of centralized table to provide longitudinal global view of DTC store business and provide flexibility in adhoc reporting3. Rapid knowledge transition with the clients to understand the existing data platform and created an automated framework to create store reports on a weekly basis

I worked with Direct to Consumer Retail Intelligence team of Largest Athleisure company in the US. My responsibilities included:1. Translate business needs into system/application requirements and develop the best solution design to incorporate easy consumable solutions to the business problem2. Data analytics and visualizations to produce reports and insights that helps the stakeholders in decision making3. Developed Single Source of Truth tables combining various data sources and designed data, reporting and analytical layers by collaborating with Data Engineering team4. Key Projects: Product Launch Analysis, Customer Sentiment Analysis, , Marketing channel Tracker, Website analysis and Consumer Satisfaction Analysis across various levels using R, Tableau and Hive