Manager Marketing

PRAKASH DAFTARI

Hold a permanent residency in Canada M: 513-***-**** E-Mail: *******.*******@*****.*** M.S.(Analytics), MBA Experienced professional nine years of management and Individual Contributor analytics experience in Customer Analytics, Marketing and Product Analytics, Web Analytics in Fortune 500 companies across Americas and Asia Godaddy Inc Hold - Seattle, WA / Principal Analyst May 2018-Present

Conducted statistical and analytical analyses to derive insights that identify business growth opportunities and frame marketing strategies for 2019 to achieve an incremental revenue target of $40 million and 150 new conversations

Built a bundle of interactive statistical dashboards using Tableau 10.3 to provide actionable insights at strategic level, operational level for conversational marketing to execute against $32m incremental revenue plan for 2018

Performed AB tests to validate propensity models, response models by running multivariate statistical tests using SQL, Python and MS Excel to track and analyze performance and communicate results

Developed data strategies for statistical measurements and analyzed data to provide insights on ways to improve the contact strategy and marketing experience for customers.

Managed a team of 4 analysts as interim manager for supporting multiple aspects of marketing functions during analytics organization reorg

Latentview Analytics – WA, USA / Engagement Manger – Microsoft Customer Data & Analytics 2017-2018

Defined Customer Segments across various products for Microsoft Devices group from several TB of data/size of data for all markets using SCOPE tool( C/C#) and R to supplement marketing plan for 2017

Collaborated with cross-team leadership between product and marketing resources to drive business decisions Expedia Inc. – WA, USA / Analytics Manager 2014 - 2017

Developed a new agile framework with business stakeholders to prioritize managing more than 50% growth in A/B tests in volumes, variety and business impact leading to $300k in savings

Defined a new business metric (attach rate) and build a reporting dashboard using R to measure cross-sell opportunities.

Drove optimization of mobile data measurement by introducing new data capture platform (Omniture) that would provide for deeper analysis to management and enable direct impact to the mobile app marketing and downloads targets

Championed analytics projects to deliver data based recommendations to enhance customer experience impacting Net Promoter Score (NPS) and Agent Satisfaction Index(CSAT)

Identified and nominated for Best Performer award in recognition of flawless execution of value addition to the company Infosys Limited – India / Senior Associate Consultant 2011-2013

Provided strategic work plan to client to seamlessly integrate and utilize customer data acquired as part of acquisition

Established compliance measurement framework to identify code bugs based on service level agreements reducing testing time by 10 %

Collaborated with Siebel Analytics team to integrate customer relationship data to analytics OLAP data warehouses to capture requirements and test use cases

Godrej & Boyce Mfg Ltd. 2009-2011

Deputy Manager/ Associate Manager

Introduced novel integrated tools/tactics for marketing and sales teams leading to sales channel growth by 5%

Provided data based recommendations for cross-sell opportunities based on Basket Analysis to suggest product grouping and product purchase sequences to increase sale ticket size EDUCATION

University of Cincinnati, Carl H. Lindner College of Business 2013-2014 Masters in Science (M.S.) in Business Analytics (GPA 4.0/4.0) T. A. Pai Management Institute (TAPMI) 2007-2009

Masters in Business Management (MBA –AACSB accredited) (GPA: 3.26/4.33) Nagpur University, G.H. Raisoni College of engineering 2002-2006 Bachelor of Engineering /Major: Electronics Engineering (WES GPA: 3.92/4.00) Technical Skills

Programming Languages: Hive ( 5 years),R (1 years), SQL (6 years), Python(1 year),Jira(4 year), Shell( 1 year), Cron (1 year) MS Excel (9 years), Tableau (5 year) Statistical Methods: linear regression, logistic regression models, Hypothesis testing,ANOVA

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