Aditya Jain Email & Phone Number

Coached and developed a diverse team of Senior Data Scientist, Managers and Technical analyst, boosting morale through open communication and trust- building exercises.Expanded team by 30% and filled all open roles through proactive recruitment efforts and robust hiring practices within 6 months.Oversaw the migration of product data from on-prem Teradata to AWS Snowflake, while also managing data governance and retention for ledger data moving from Mainframe to AWS, ensuring data lineage integrity.Designed and measured experiments on a constrained population (agents) by creating a synthetic control using a K-nearest ML algorithm, resulting in scaling a product to thousands of agents and delivering process improvements, sized at $27M over 5 years. Pioneered the implementation of Process Discovery using ML algorithms, identifying patterns for process improvement and automation opportunities.Guided the team in uncovering insights leading to cost savings of approximately $800K annually through strategic initiatives and process optimizations.Established appropriate product controls to meet compliance, legal and regulatory standards within product teams.

San Francisco Bay Area

• Recruit, lead and mentor a large global team of managers, data scientists and product analysts spread across multiple geographies. Setup long term and short term growth and development plans for the team.• Revolutionized transaction processing in PayPal by introducing Data Science models to increase authorization rates and reduce expense by $5M/year.• Designed Machine Learning models to successfully tokenize 600M+ cards in PayPal wallet by collaborating closely with networks.• Designed predictive analytics models which have generated $200M+ in additional revenue by enabling more retries.• Created predictive analytical models which have generated $1.5B+ in incremental transactions for PayPal by auto-updating expiring cards.• Transitioned the team into agile framework by introduction Jira & Sprint cycles which improved transparency with stakeholders and work life balance of team.• Collaborate with product owners and engineers to design experiments and setup data logging infrastructure to measure product performance.• Enabled a culture of automation and self-serve by creating 100+ self-serve Business Intelligence (Tableau & Looker) dashboards to self service and reduce repetitive tasks, which improved analyst productivity by ~25%.• Designed & measured complex (nested) experiments to launch products & measure their ROIs.• Organized 7 simultaneous ongoing projects, delegating personnel and resources to optimally meet overarching business goals and minimize redundancies.

San Francisco Bay Area

• Lead the analytics effort to support the PayPal Here ($4B+ Global product).• Setup analytical measurement tool for PPHere mobile app and introduced experimentation to increase onboarding conversion rate by 2.5%, which exceeded goal by 150%. • Incorporated analytics tag management systems such as Amplitude, FPTI and Adobe Experience.. • Derived forward-looking insights from ongoing analytics projects to offer predictive intelligence for business decision-making. • Designed and conducted offline pricing study to price the hardware where KPIs like sales, engagement and margin were balanced for profitability. Led to 55% increase in sign ups and sale of new devices.

San Francisco Bay Area

I own and manage the Customer Acquisition & Activation Analytics at PayPal. My main responsibilities are:1. Designing & Measuring rapid experiments (A/B tests) with well defined KPIs to quickly roll out PayPal's new technology stack and UI globally. Ensuring that Signup & Activations exceed old version of the flow. 2. Coming up with insights to shape product strategy and road map. Understand past user behavior & using this data to recommend new product flows for faster signup & activation. 3. Presenting the A/B test results in easy to consume visualizations to enable data driven decisions on throttling experiment ramps. Supporting multiple regions and defining success metrics based on the regional setups (e.g. Credit Card usage in Germany is low, how do we modify the signup flow to ensure that more people create and start using their PayPal accounts). 4. Performing opportunity sizing and build financial models to gauge the impact of an experiment on the bottom line (Revenue & Margin) of the overall business. 5. Taking responsibility for metrics and advising the Product Owners on setting targets. 6. Collaborating with multiple teams across regions in an complex environment to ensure product / project success. 7. Acting as a Partner to the Product Owner (PO's) to ensure the success of the product.8. Work closely with the Product Owners to design experiments, formulate clear test hypothesis and identify the KPI's the tests will impact. 9. Build close relationships across teams like experimentation platform, instrumentation, data technology, etc to ensure that data gets captured and is available in a format which can be consumed by analytics. 10. Solid experience in using Web analytics tools like Omniture & Google Analytics. And when all else fails, use SQL / R / Python to create similar reports as these tools provide.

San Francisco Bay Area

Responsible for providing end-to-end analytical support for PayPal's key initiative - Point of Sale (Retail, POS, Davis, MIS, PayCodes). It involves working closely with the 1. Product Managers - to define the Success Metrics & KPI's of each product launch2. Data Technology - to ensure that data is being captured in the warehousing solution 3. Instrumentation - to enable the hooks to capture data4. Business - to understand the impact of KPI's on the bottom line 5. Product teams - to leverage knowledge across teams6. Development teams - to ensure that bugs are fixed for instrumentation issues.Drive insights by utilizing multiple sources of data. Build comprehensive dashboards (Tableau / Excel) to enable constant measure and tracking of KPI's and other diagnostic metrics.

Chennai

• Automated Adobe SiteCatalyst reporting by instrumenting the data into a database like Teradata, this saved $250K/year on staff cost.• Established requirements and developed tailored methodology to bolster management decision support reporting.

Awards: Star Performer (Q1'09, Q4'08, Q3'08), Best Newbie (Q4'07) Owner of all Reporting and Analytics for https://help.aol.com site.• Optimized the Phone IVR system by analyzing drop call patterns, customer and agent feedback and reduced support cost by $1M/year.• Provided the content and technology teams with business intelligence for successful customer issue resolutions increased NPS score by 45%.

Awards: Striker Award (Best quarterly performed) Responsibilities: Transition the process from Austin to BNG, Define SLA and other quality metrics for the team. Six Sigma Yellow Belt Project for reducing number of errors in content, SEO of Dell US pages.

Responsibilities: Weekly interaction with clients for delivery of test cases. Develop Java programs to rectify any identified ambiguous implementation class, Analyzing requirements and architecture to plan formulate and create Test Plans, Test Cases and Test Programs for application and interfaces (create test scenarios)

Bengaluru, Karnataka

Setup the unit from the group up. Negotiated buy back contracts with farmers for Aloe leaves, setup manufacturing process, procured machineary, funded research at CFTRI (Mysore) for development of methodology to preserve Aloe leaves at source and then final product for shipment. Secured the 1st organic end to end aloe production certification from INDOCERT ("India Organic") and KSOCA (Bangalore).

Master Of Business Administration - Mba, Finance, Business

Bachelor Of Engineering, Telecommunications

Certificate In Strategic Thinking, Business Administration And Management, General