Radhakrishnan Poomari Email & Phone Number

Toronto, On, Ca

Bangalore

- Business: Develop the vision and roadmap for the AI & Data Science division of Xformics cutting across a broad spectrum of industry verticals- Team: Build and nurture the data science team from ground up guiding the team as a mentor and an active learner- Product: Architect and Develop prototypes of Analytics Products identifying unmet needs and business problems that have the maximum business impact collaborating with industry veterans- Technology : Drive R&D and Product Development across Xformics leveraging state of the art technologies in AI/ML and Mathematical Optimization to create new blend of solutions that can be applied generically across industry domains - Network: Constantly strive to build relationship with the people who make decisions and who help make decisions leveraging their experience and expertise to build successful analytical models- Ecosystem: Create an ecosystem of customers, vendors and partners to deliver actionable and tangible outcomes- Strategy: Develop and protect key IP for Xformics and advise on strategic business and commercial engagements including opportunities, risks and strategies.

Bengaluru Area, India

- Lead Specialized Data Science solutions development for GE Power, impacting Multi-million dollar Industrial Productivity, Field Services and Fleet Management across GE's Global Fleet of Gas/Steam Turbines & Generators- Created product strategies to commercialize cutting edge algorithms into production ready Analytics-as-a-Service solutions through GE's Cloud-based Predix Platform- Architected advanced Machine Learning solutions including Natural Language Processing, Image Processing/Pattern Recognition for business problems directly contributing to the company's top/bottom line- Lead development of ‘Digital Twins’ for industrial assets using a combination Physics based and supervised/unsupervised machine learning algorithms for Asset Performance Management (APM) solutions such as Early Anomaly detection, Lifing and Predictive Maintenance- Developed production quality analytics at scale using Agile and lean methodologies with quick result-oriented PoCs as Minimum Viable Products- Researched and developed cutting-edge solutions using Deep Learning frameworks like Keras, Tensorflow using GPU computing for direct application on internal and external customer problems- Evaluated technology and partner ecosystem such as Microsoft Azure Machine Learning Studio, Big Data and Scalable Machine learning through Spark and Massive Time Series Analytics- Assessed pain points of potential customers and develop proof-of-concepts based on highly unstructured and vague problems into actionable business insights- Created blue prints for next generation analytics based on opportunities across the entire spectrum of Electricity Value Network that includes Power Generation, Transmission and Distribution and Power Consumption- Championed development of Intellectual Property Strategy for the GE Power Digital business through creation of strategic invention disclosures on novel solutions