Satya Ramachandran

Martech Advisor, to architect/implement AI enabled Growth Engines at MSquared Attribution, Anthropic and SmartCommerce.

Launching laine.app, next-generation growth co-pilot that automates Bain's proven industry-leading consulting practices using the latest GenAI technologies to power growth and scale marketing and growth teams. Built on AWS, Snowflake, Langchain, and LLMs, the platform combines an AI-powered marketing growth engine, machine learning-powered attribution, and explainable AI to equip D2C leaders with tools and insights to unlock faster and more sustainable growth.

Reporting to the Chief Growth Officer, Launched AcquisitionIQ, an AI-driven growth engine utilizing closed loop measurement implemented on AWS, Snowflake. The platform drive significant reduction in paybacks to be reduced significantly, thereby increasing the marketing ROAS significantly. - Rappi Attribution for all digital channels on top of Clean-room provided by AppsFlyer - A closed-loop AI engine on top of the attribution system to drive campaign efficiency - Developed ML models to estimate LTV on hundreds and thousands of variables to provide precise targeting - Automated testing platform using computer vision and advanced AI to test deployed marketing campaigns at scale - Using Scrapping and advanced NLP techniques to extract pricing, delivery schedules, catalogs to power a competitive intelligence platform that in turn helped power operations, pricing and marketing. - A shopping platform to drive growth for CPG and Rappi-owned Turbo.

Reporting to head of Marketing, Led the design and development of AI Driven GrowthMachine . Led development of Holistic Causal Attribution v1 to build a measurement layer on top of MMM, experimentation, and last-click attribution to power budgeting, planning, and optimization. . Led the design and development of performance Engine, integrated with Google and Facebook to manage bids for Google SEM and UAC campaigns and built the first ML model to predict bids. . Led the implementation of an Audience layer on top of ActionIQ to manage Audiences across all Marketing. - A shopping platform to power CPG.

Reporting to the CEO, Led the design and development of an integrated hardware and software platform to address the vision of making transportation free by supporting mobility via advertising. The platform supports a 2-sided marketplace with fleet owners of ride-shares and taxis on one side and the ad-tech ecosystem players on the other. • Led the design and development of Sunrise, which is recognized as the best Smart Display on the road. • Led the design and development of the micro-services platform on GCP for the driver and ad-tech services • Led the design and development of Street.IQ, which offers inflight optimization. This is an industry first in DOOH

Reporting to the CTO, Led a core team retained during the merger to streamline analytical solutions deployment while managing the Customer Analytics platform engineering team as the business unit scaled dramatically. Led automation initiatives across the company, delivering focus and efficiency. • Automated the Customer Analytics platform by designing and implementing a framework for automated ETL and modeling processes. Reduced operations headcount and achieved additional efficiencies in onboarding. • Implemented CI/CD with Ansible-Jenkins to automate the QA process and deployment of Customer Analytics operations team. Reduced additional headcount. • Mitigated growing cloud computing costs and saved millions annually by designing and implementing microservices architecture. • The DecisionCloud product was named an industry leader by Forrester for Marketing Measurement and Optimization. • Recognized by the CEO with a CEO award in 2017 for contributions to Neustar.

Retained during the merger, reporting to the CEO, built the world’s leading cloud-based Marketing Measurement and Attribution analytical platform as recognized by Forrester and Gartner. Enabled rapid scalability and supported 10X growth in sales over 5 years, and 15X growth in valuation, which eventually resulted in the largest acquisition in the Measurement space. • Integral executive team member and contributor to the business plan, funding rounds, investor summaries. • Responsible for all of MarketShare's product development and SaaS Operations. • Built a ground-up engineering team of 110 members across 3 domestic and global locations. • Created an industry leading distributed analytics cloud-based platform for media-mix modelling and multi-touch attribution utilizing AWS, Hadoop, Hive and Spark. • Developed a marketing planning application using incremental view-based materialization using Oracle and Memcached, and maintained coherency using log-based replication and advanced caching techniques. • Built a novel pricing platform to seamlessly align with the backend but also serve as front-end and UI architecture prototype, adopted across the entire MarketShare platform. • Cultivated an exceptionally strong and engaged company culture to attract and retain world-class talent.

Co-founded and scaled the startup with angel funding and a small team to build the world-class distributed multi-dimensional query engine utilizing Hadoop and AWS that quickly led to the acquisition by MarketShare. • Elemental contributor to the company’s business plan, elevator pitch, funding pitch, and investor summaries. • Built and managed the entire technical team from scratch. Planned and executed the strategy for recruiting top talent in India, managing complex projects/schedules across distributed teams in the US and India. • Designed, implemented, and patented a distributed process that enabled customer data sets with TBs of data to perform a query within mere seconds, and at an unprecedentedly low cost. • Worked with a lean engineering team of 7 to repurpose the entire UI stack onto Pentaho stack in order to develop the backend. Simultaneously led the ground-breaking development of building a distributed multi-dimensional query engine on top of Hadoop on AWS.

Developed back-end architecture in addition to Benchmarks for the server. • Initiated the concept to move all of Jivox backend infrastructure to AWS and helped setup Jivox services on Amazon Web Services (AWS