⭐️ Piyanka Jain ⭐️ Email & Phone Number

Austin, TX, US

Santa Clara, California, US

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....

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

Santa Barbara, CA, US

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.

Burg, SE

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

Santa Barbara, California, US

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

San Jose, CA, US

• 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.
• 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.
• 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.
• 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.

San Jose, CA, US

• 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.
• 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.
• 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.
• Expanded the team with International hiring, on boarding and training a small team of analysts/manager in Chennai, India.

San Jose, CA, US

• 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.

• 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.

Ms, Computer Science

Ms, Civil Engineering: Environmental Sciences

Be, Civil Engineering

High School, Computer Science