Kannan Kumar

As the Head of Data Science at Purchasing Power LLC, I have been instrumental in spearheading a range of innovative projects and initiatives that drive growth, enhance operational efficiency, and improve customer experience. My role encompasses leading efforts in both Generative AI and traditional Data Science and Analytics.

• I am a Strong proponent of effective cross-team communication, often using diagramming to demystify and develop a shared understanding of complex business processes and AI architectures.
• Spearhead and oversee a high-performance team of data science, analytics and Gen AI/LLM initiatives to drive strategic decision-making and innovation across the organization
• Lead a team of data scientists, analysts, and AI engineers to develop and implement cutting-edge solutions.
• Extensive experience in researching and developing innovative cloud-native AI-infused software and solutions for Gen AI, Large Language Models, Deep-Reinforced Agent, Computer-Vision, and Deep-NLP.
• Collaborate with cross-functional teams, including product development, finance, and IT to align data strategies with business objectives.
• Customer Engagement Enhancement, Personalize product recommendations through AI, Proactive Fraud Detection System, AI Content Generation, Customer Segmentation Analysis, Dynamic Product Bundling, Business metric Chatbots etc.
• Recognized for driving innovation through AI and data science, contributing to the company's growth and competitive edge.

• Innovation Leader for 10 product Categories heading the Engineering Intelligence and Engine analytics section with a span of 68 employees across various skillsets viz. Machine learning, Deep learning, Visualization, Custom Analytics, and end to end process stabilization and automation improvement.
• Acted as a Principal Data Scientist in Tailoring custom Machine learning algorithms and creating pipelines for the end consumers.
• Developed & integrated 3 programs by strategizing and analyzing trends.

• Developed and Scaled aftermarket analytics models which focus on providing services to customers by means of financial score cards regarding Machine Utilization.
• Developed and deployed more than 15 Classic ML DL Models which encompasses Machine performance, Utility, Voice of Customer Models, Financial models, NLP, etc.
• Handled large, scaled datasets to create data pipelines in line to caterpillar machine Utilization mechanism.

• Category leader for ML products related to Private Brands, Subscribe and Save, Vendor Financial trends, Voice of Customer, Social media forecasting and concessions.
• Worked on all Miscellaneous projects involving complex ML and DL algorithms, Time series forecasting, NLP & AI
• Engineered the Recommendation engine for subscribe and save program using tailor made ML algorithms and ingested into the Amazon Detail page framework for which I was awarded the best Innovation person (VP Award)