We are a SWAT Data team. We solve complex business problems, develop the company’s Data culture through data literacy and deliver rapid ROI using simple math and logic, statistical methods, machine learning, deep learning, and AI.Our client list includes Google, BBVA, BCBS, Box, IMVU, Applied Materials, SAP, Apple, PayPal, Citi, Microsoft to name a few... Our high-growth start-up client list includes Life360, FCTI amongst others.We work with C-level executives and P&L leaders to drive growth and revenue. We work with L&D leaders to develop Data DNA for the organization using our deep expertise in building enterprisewide data literacy including the creation of citizen analysts.Our clients today are generating greater revenue from less marketing spend, have lowered their customer acquisition costs, and improved their customer experience.More details at Aryng.com

How Anyone Can Use Business Analytics to Turn Data into Profitable Insight1500 copies sold by end of day1, 5 star reviews on Amazon, get your copy today at http://www.amazon.com/Behind-Every-Good-Decision-Profitable/dp/0814449212

Modern Workplace, How to Turn Data Into Successhttps://products.office.com/en-us/business/modern-workplace/actionable-insightseMetrics, Growth Hacking with Datahttp://www.emetrics.org/sanfrancisco/2014/emetrics-strategy/#364Predictive Analytics World, The Top 3 Strategies for Setting Up an Analytics Center of Excellencehttp://www.predictiveanalyticsworld.com/sanfrancisco/2014/agenda.php#day2-1000aBig Data, international Keynotehttp://acevents.com.au/bigdata/programme.htmlBig Data is Big Business: Panel Moderationhttp://www.sipa.org/cms/GigaOM Events:- Health and Life Sciences get a dose of Big Data- Making Big Data Analytics pay for Telecom Industry- Transforming healthcare with Big Data- Navigating the next-generation BI and analytics landscape: http://pro.gigaom.com/webinar/navigating-the-next-generation-bi-and-analytics-landscape/Predictive Analytics World 2012 Keynote:http://www.predictiveanalyticsworld.com/sanfrancisco/2012/http://www.predictiveanalyticsworld.com/toronto/2012/Data Science Summit 2012 Keynote: http://www.greenplum.com/popover/video/767Google Analytics User Conference 2011 Keynote:http://online-behavior.com/googleanalytics/data-to-decisions2012 Interviews:http://www.youtube.com/watch?v=NLdbYgreGiQhttp://online-behavior.com/googleanalytics/creating-data-driven-culture-organization-interview-1...

Strategic Advisory role to LeguPro AB, makers of BeanButler, the first fully automated appliance that soaks, cooks, seasons dry beans from scratch.

Analytics Expert Adviser for Giga OM events. Past events include: - Transforming healthcare with Big Data - Health and Life Sciences get a dose of Big Data - Making Big Data Analytics pay for Telecom Industry

Leading strategic analytics for North America Business Unit• Uncovered a previously unknown product need for “Automatic Payments Feature” within a product line using product portfolio analysis. The culmination of this 5-month long project led to effective decomposition of the product into sizable distinct-usage segments and identification of >3X growth and >5X profit segments.• Led product lifecycle analysis for a shrinking product line with incomplete and dirty data; delivered the P&L, merchant lifecycle and time series view uncovering the drivers of shrinkage using creative business heuristics and triangulation method, leading to engagement with CFO to reinvest in the business.• Instituted a new analytics project management process with scope doc, resource/time planning process and doc, internal client interaction model with milestones to deliver actionable insights within time and budget. • Established the value of analytics within global product group by changing the engagement model with product owners and delivering high impact-actionable insights through rigorous methodology, proper data collation and tight time-line management.• Collated PayPal’s first ever single view of all the customer level metrics in a 12 page document as a result of rigorous interview with various departments including risk, IT, Customer Service, Research, Finance, Fraud, Collection, Marketing, Web, Dispute and Resolution which served as a foundational document to production level customer schema and various customer-level advanced analytics project.• Delivered test design framework to identify levers of managing transactional cost through multivariate test design (using SAS and JMP).• Provided thought leadership in support of optimal data architecture to meet analytics and reporting needs while maintaining good system performance (query return time).

Engaged in leading strategic analytics for PayPal, managing and setting agenda/strategy for the team, defined strategic roadmap changing operating model, overall delivering on 5 high-impact strategic projects which had a cumulative $70M revenue impact.• Promoted to lead, merchant and consumer product analytics group and establish Point-Of-Contact model for successful collaboration with product team.• Regular speaker in conferences on creative predictive modeling methodologies optimizing on multiple dimension. Keynote speaker at Predictive Analytics World, DC in Oct 2010.• Developed an econometric product revenue forecasting model with internal sales and eCommerce data (using Principle Component and time series Analysis) to isolate the impact of slowing economy from internal product dynamics, delivering actionable focus areas for product during the slow economics times.• Led Voice of Customer Analysis (using factor/correlation analysis) busting the long held PayPal belief of “speed of phone answer” to be the most important satisfaction driver and established resolution of issues to be the primary driver. This led to complete change of metrics to manage customer support by.• Expanded the team with International hiring, on boarding and training a small team of analysts/manager in Chennai, India.• Led a first ever cross-functional/ cross-department team of 20+ analysts and PM’s from risk, product, finance, IT, marketing and analytics towards common goal of lowering churn and increasing satisfaction for PayPal’s top customer. It was executed through standardization of terminology, documentation of requirements and objective, leading effective team meetings with tight agenda, building consensus through active listening and alignment to objectives, managing timeline through prioritization, accountability and continuous communication of progress, plans and problems.

Provided database driven analytical support to Adobe Product and Relationship Marketing team with direct measurable revenue impact of $18M.• Promoted to lead analytics functionality within marketing operations team and establish successful collaboration model with Business Unit.• Increased Acrobat Marketable Universe by 400% by mining previously untouched prospect database through predictive model (logistic regression).• Identified key features of spam/fraud emails using predictive model with creative variable creation from text mining of email domains/name resulting in 80% decrease in blacklisting of Adobe IP.• Built predictive model to identify the top converters for Acrobat delivering 75% of potential convertors in 30% of population thereby increasing the adoption rate by 6X and decreasing the marketing spend by 50%.• Recommended a new “Call to Action” directing new Acrobat prospects to “Experience” site resulting in increased click-through and trial download.• Managed all of Adobe’s Relationship Marketing campaigns’ reporting mechanism: 250+ Direct Response campaign, 30+ Events, with 200+ million DM/EM/Phone solicitations yearly; • Instituted the use of global control in addition to campaign control in all adobe campaigns resulting in isolating the impact of any specific campaign. • Designed segmentation and targeting strategy for over 50 end user campaigns, stratifying “Call to Action”, landing page, subject line, creative tonality based on customer segment.• Designed A/B testing for identifying optimal subject line, offer, incentives, and creative placement to optimize on open rate, CTR, product adoption and trial rate using statistical sampling techniques and experimental design.• Analyzed, reported and translated learnings for 30+ Adobe campaigns/surveys yearly into actionable recommendation for future campaigns.• Built measurement framework to deliver insights into drivers of campaigns success and visibility into growth levers.

Out of home advertisement on food boxes, boot-strapped and ran the first campaign and co-founded the company (OBM).• Wrote business plan, incorporated the company with legalities, acquired domain name, hired web designer to design website, logo and collateral.• Established relationships with Agencies and Media buyers to reach LM segment.• Identified networking opportunities to reach local SP/SMB segment.• Organized and hosted monthly “Power Business Luncheon” networking events for local SMB’s sponsored by Amex as another channel to promote OBM. • Implemented sales process for lead generation targeting local businesses.• Successfully managed all the vendors/contractors including copy-writers, web designers, ad designers, plate makers, box manufacturers and distributors; also managed relationships with small restaurant owners.• Successfully acquired accounts and executed advertising campaign end-to-end.• Completed an ad campaigns using HOPE non-profit service to reduce labor cost for lower volume campaigns.• Collated and presented campaign analysis results combining data from various sources including client’s in house sales list and distributor’s list.