Siddharth Shah Email & Phone Number

California, United States

San Francisco, Ca, Us

-Owning the charter and leading all data science and analytics functions at New Relic - Lead product analytics org. focused driving product strategy through user journey analysis, feature analytics, product adoption and metric development- Develop and execute on Growth analytics charter including AI/ML based propensity and churn models, funnel metrics development and analysis, performance marketing analysis and optimization- Lead GTM analytics focusing on insights and ML based data products to optimize lead conversion, customer growth and deal flow optimization - Lead Finance analytics focusing on analytics and ML based data products including measuring and optimizing gross margins, pricing analysis and strategy and optimization - Leading the adoption of Gen AI for several analytical areas across the company

San Bruno, Ca, Us

Leading Data Science teams at Youtube in the key areas of Recommendations, Responsibility and Responsible User Growth. The remit of all my teams includes developing new sophisticated metrics , exploratory analysis, supporting experiment design, tuning and interpretation, developing and characterizing the performance of classifiers and developing cutting edge approaches to tackle issues such as experiment leakage The Recommendations DS team focuses on improving the Youtube recommendations system (including Shorts). - Overseeing work streams to improve recommendations quality including new feature identification, parameter tuning with simulation based approaches, performance calibration and recommendations system understanding- Measuring qualitative metrics such as satisfaction using model based approachesThe Responsibility DS team focuses on two of the 4Rs of Youtube - Raise and Reduce. - Applying data science to protect users from borderline harmful content like misinformation and raising authoritative content in verticals such as News and Health using ML based approaches. - Partner with Youtube Kids team with a focus on protecting kids and improving quality of Kids content - Oversaw efforts to measure ML Fairness The Growth DS team focuses on applying data science to identify opportunities to responsibly growth youtube users and usage. - Develop new north star metrics to holistically and meaningfully capture user growth - User segmentation and Journey analysis to develop hypotheses on what behaviors lead to greater engagement and which friction points lead to churn - Drive cross function partnership with Ads PM/DS team on identifying sustainable approaches to increase responsible user engagement - Develop rigorous measurement framework for measuring marketing campaigns to increase user engagement in a data and measurement constrained setting- Understanding the relationship between content viewed and engagement

Mountain View, Ca, Us

I lead Product Analytics and Data Science teams for Google Geo/Maps. - Lead product analytics and data science teams spanning all missions of Google Maps functionally overseeing operational analytics and reporting, metric development, user growth, strategic growth analysis, data science research and experimentation.- Develop Mission, vision and focus areas for the team and a partnership engagement model to build both an operational and strategic analytics capability for Geo- Develop, report and operationalize key org-wide metrics and proactively identify & communicate new and emergent trends. Identified key demographic trend that lead to shift of org-wide priorities- Identify new product opportunities with data and partner with product and marketing teams to build and execute on them.- Develop new analytical functions for the org. including user growth and product intelligence. Identified strategic segments for responsible user growth and developed new hypothesis and experimentation ideas based on insights and analysis- Develop strong data culture in the organization to enable, guide and direct decision making with data.

San Jose, Ca, Us

I was focused on managing the Adobe Experience Cloud's customer and product analytics teams to drive product strategy ,create operational efficiencies and optimize our customer's experiences with our products and processes. We extracted and analyzed product centric data, derived insights by applying state of the art data science and then improved customer value by optimizing the product and process experience across all solutions in the Experience Cloud. Some of our focus areas included: Product and feature usage, product engagement, user journey modeling as well as churn analysis and prediction. Further, a big part of my mission was to evangelize the data science approach to understand and improve user and customer product experience.* Manage all customer and product analyst teams of Adobe Marketing Cloud* Develop, own, maintain and distribute customer and product analytics data* Drive strategy and execution of product and feature measurement, analysis and insight generation* Develop new approaches to managing product data centric insights using best known data science and ML algorithms - descriptive, prescriptive and predictive* Develop, own and operationalize customer value KPIs across the organization* Partner with product management teams and operationalize feature adoption and usage framework* Democratize insights for executive staff, product, sales by developing, deploying key insights via tools and dashboards

San Jose, Ca, Us

- Managed 4 analytics teams of 18 people in the US and EMEA working with all Adobe's digital advertising customers.- Responsible for thought leadership in the areas of online advertising and multi channel marketing.- Represented company to press and at leading industry conferences.- Developed business, hired key personnel and was responsible for development of new multi-channel marketing optimization product.- Automated insights and reporting for Adobe's digital advertising customers building marketing presentation and automation tools.

Sunnyvale, Ca, Us

Founded in 2002, Efficient Frontier pioneered the application of modern portfolio theory for search engine marketing and combined it with predictive modeling algorithms and bidding technology to optimize over $ 2 BN in search, display and social spend for advertisers. Efficient Frontier was acquired by Adobe in 2012- Managed the global analytics team overseeing performance management of all ad spend (> $ 2BN annually).- Developed new analytical and statistical tools to enhance advertising performance for Efficient Frontier’s clients.- Responsible for several facets of marketing including - directing the execution of company's quarterly report. (cited by WSJ, Forbes and other media outlets), authoring company's opinion pieces, blogs and white papers and research and speaking to media as well as conferences.

Sunnyvale, Ca, Us

* Developed and executed strategies for online advertisers in the Search Engine Marketing (SEM) space. * Provided strategic direction to teams of analysts account managers for the execution of SEM campaigns.* Authored company whitepapers.* Provided strategic inputs to the senior management towards questions involving the direction of the product we build and trends in the industry as a whole.

Milpitas, California, Us

* Provided pre and post sale support to marketing, * Developed algorithms for the software group, * Modeled and characterized system performance and provided input to marketing for product road mapping.

Ann Arbor, Michigan, Us

Conceived, developed and successfully implemented innovative signal and image processing algorithms that reduce the computational complexity of resolution enhancement for biological applications such as microscopy.

San Francisco, California, Us

I worked in Dr David Agard and Dr John Sedat's lab in image processing problems related to electron microscopy.

Ms, Electrical Engineering

Phd, Bio-Imaging, Algorithm Development

Ms, Biomedical Engineering

Bachelor Of Science (Bs), Electronics Engineering