Editorial Board
Raja Ranganathan
Principal, Wells Fargo
20+ years of experience as analytics professional with experience consulting with collaborative cross-functional engagement to deliver analytical results and recommendations to support strategic business decisions across industries like transportation, retail, and banking.
At Wells Fargo, he has played a pivotal role in operationalizing Safety Net models to identify escalated complaints to meet regulatory commitments across various lines of business while fostering alignment with model governance requirements. In addition, his experience expands to delivering augmented Market Insight’s Test and Learn strategy for customer surveys to model post-shopping behavior, build enterprise level Unstructured Data Platform to host all customer feedback data at the right level of analytical artifacts to leverage insights, implement clustering solutions as part of efforts around store clustering enhancements, championing analytical methods to understand customer choice preferences around Apparel and Accessories.
Sameer Ranjan
Chief Technology Officer and Director (Data Science) at Catenate
Sameer is a product innovator, thought leader, advisor, speaker, and entrepreneur. He has created several data and AI-led products for various industries. He serves as Chief Technology Officer and Director (Data Science) at Catenate Corp (Creator of MayaMaya and MiraMira). He holds a master’s degree in Data Science from UT Dallas. He founded NPO BhartiyAI (a subsidiary of CognitiveSprints in India), a firm aiming to educate and empower people by making them aware of AI and Data science. He has patents on AI algorithms, is an avid speaker on multiple platforms, and has been featured as a guest technical expert writer in many technical and business magazines. He is also associated with many tech startups and product firms as their technical advisor. He has written a book titled “Resume and ATS” serving over 250K students worldwide by helping them write resumes to fit in technical specifications of ATS systems.
Annie Wang
Director of Pricing and Analytics at PPG Architectural Coatings
Annie Wang is a dynamic business and technology visionary leader with an unwavering passion using technology such as AI and analytics to solve business problems. Currently serving as the Director of Pricing and Analytics at PPG Architectural Coatings, Annie leads high-performing teams that navigate the intricacies of sales analytics, price strategy, pricing execution, and data governance. Her strategic collaborations with senior leadership culminate in holistic solutions that transcend traditional boundaries, tackling persistent challenges across multifaceted business domains.
With over two decades of experience in specialty chemical industry, she has developed the business acumen and knowhow to drive synergy between process, people, and technology to propel businesses towards growth and profitability. Armed with an MBA from Widener University and a BA from Central University Finance and Economics in Beijing, China, started her career in sales and quickly progressed through the ranks. Annie Wang quickly developed passion for using data and analytics to drive sales and marketing effectiveness and enable technology-driven business strategy for profitable growth.
Sravan Vadigepalli
Sr Director Data Products & Applied AI at Lowe's
Sravan Vadigepalli has spent the past decade building and curating data analytics teams in the retail industry. He specializes in translating data into insights and applications of Machine Learning/AI models to ever evolving retail space. Sravan did his MS in MIS from Oklahoma State University and an MBA from University of Illinois Urbana Champaign. Outside of work, Sravan is a self proclaimed long distance endurance runner.
Amina Alavi
Director of Analytics and Data Science at Doctors Without Borders
Amina Alavi is the Director of Analytics and Data Science at Doctors Without Borders, where she is leading the development of a comprehensive strategy and roadmap for harnessing analytics and artificial intelligence. Her work is instrumental in transforming the organization into a data-driven entity, with a particular focus on optimizing fundraising, marketing, and digital communications. Prior to her current role, Amina was leading the Data Warehouse team at United Nations Children’s Fund (UNICEF) for over 7 years.
Mike Stillman
Senior Director, Data Engineering
An accomplished Data & Technology Leader with over two decades of technical expertise in data engineering, business intelligence and analytics. I am known for my outcome-oriented and collaborative management style, which has consistently delivered results across various operational landscapes. My proactive approach, coupled with my ability to translate complex technical concepts into actionable plans, has been instrumental in driving growth and innovation. As a proven leader, I blend strategic big-picture thinking with meticulous attention to details, inspiring trust and confidence in my teams. My strong executive presence and technical acumen have been key in fostering an environment of growth and continuous learning.
Over the past 14 years, I have honed my skills within the high-growth BevAlc company, Constellation Brands, which has achieved an impressive 56 consecutive quarters of volume growth. This growth has been spearheaded by Modelo Especial, which transitioned from a fringe brand to the leading beer in the US by volume. This rapid growth trajectory has not only developed my resilience and leadership presence but also enhanced my ability to extract value from ambiguous environments. Most recently, I have led the transition to a Data Mesh architecture, leveraging the Snowflake Data Platform, supported by 20 Domains and enabled by 100+ Data Products.Ryan Beauchemin
Director of Data Science, Personalization and Recommendations at Peacock, Sky Showtime, and Showmax
Ryan is the global leader of Data Science at NBC Universal responsible for Personalization and Recommender Systems at Peacock, Sky Showtime, and Showmax, with impacts reaching tens of millions of users every day.He has a wealth of experience leading the development of AI and machine learning solutions not only in streaming, but also in retail, having been instrumental in personalization, recommendations, and merchandising efforts at Lowe’s Home Improvement over 7 years. With a strong science background in degrees in both Astrophysics and Computer Science, Ryan has been able to connect cutting-edge machine learning from academia to industry, focusing on building teams that specialize in neural networks and optimization.Before taking on leadership roles, Ryan was the individual contributor responsible for 50 unique recommendations and personalization algorithms on Lowes.com, automated competitive web crawlers, vendor freight optimization, a best-in-class merchandising intelligence tool including clustering, demand modeling, optimization, and forecasting.
Ramdas Narayanan
Client Insights Analytics Manager - Bank of America
Ramdas is an Information technology professional offering hands-on experience in handling all facets of Relational Database Management Systems, Teradata, Big Data(Hadoop) Database as a Service (DBAAS), Self Service Analytics, Data Governance/Management and Data Integration. He is experienced in Data Architecture/Data Strategy, Data/Business Analytics, Data/System Integration, Scaled Agile Framework (SAFE). His industry expertise covers financial service industry with functional focus on Consumer banking service such as Credit Card, Marketing, Data/Digital Transformation and Home Loans, Mortgage Servicing & Insurance services.