Aug 2025 – Present · 8 mos

• All things Product - Technology & AI

May 2023 – Aug 2025 · 2 yrs 3 mos

• Building Hybrid Businesses, Productized Assets and IPs @ConvergeCONSUMER.
• Leads Data Cleanroom (1P and 3P data), federated data spines (algorithmic: match, stitch, merge etc.), secure data deployment and governance patterns for Multi-Party Private and Public Data Exchanges.
• Leads Feature Foundry, online / on-demand feature store, feature engineering and experiment design systems for Citizen Data Scientists and SMEs.
• Leads AI/ML optimal runtime, resilient compute engine and high performance architecture at scale for large Enterprises.
• Leads high performing Data Science research, engineering and product teams across regions across portfolio of products.
• Coaches and mentors Sr. Data Scientists, Sr. Data & AI/ML Architects, Sr. Product Managers, Sr. Engg. Managers, Sr. Engineers & Specialists across industry domain.

Sep 2019 – Apr 2023 · 3 yrs 7 mos

• Leads data science, engineering and research teams and focuses on applying data-driven technologies and cognitive AI & ML ecosystem and delivering differentiated value assets and intellectual properties to drive elevated human experiences, business decisions, brand equity, and market-facing innovations.
• Leads several industry focused eminence and innovations on customer and audience 360 ecosystem, contextual and hyper-personalization, feature engineering and transformation systems, pattern recognition / recommendation engines / next best action systems, conversational AI, NLP / NLG / Vision / Voice AI, cyber security and threat intelligence, suspicious activity detection, risk analytics and business intelligence, and IOT-enabled business process automation and optimization.
• Leads several strategic business relationships with existing and new clients, developing marketplace relationships and innovations with alliance partners, driving Y-O-Y managed revenue through pre-sales, pursuits and proposals and building scale to grow existing and emerging capability footprints across industry verticals.
• Coaches and mentors cross functional teams on data-driven advertising and marketing, advanced analytics and optimization techniques, machine, and deep learning models and cognitive advantages across industries.

Sep 2014 – Aug 2019 · 4 yrs 11 mos

• Data Science & Cognitive AI / ML Experience:
• Advises C-Suite executives in the areas of – data science and engineering capabilities; cognitive AI ecosystem, machine learning, deep learning, neural networks, statistical, stochastic and predictive models to deliver differentiated value assets, intellectual properties and go-to-market innovations.
• Leads eminence and innovations in the areas of - cognitive AI & ML powered assets, feature engineering and transformation systems, pattern recognition/recommendation and next best action systems, conversational AI, Text / NLP / NLG / Vision / Voice AI, and IOT-enabled process automation and optimization.
• Marketing Services & Transformation Experience:
• Advises C-Suite executives in the areas of – customer and marketing analytics capabilities, 360 degree customer and marketing data-hub ecosystem and data-driven advertising and marketing technology to drive hyper-personalized human experience at scale with efficiency.
• Leads eminence and innovation in the areas of - data-driven advertising and marketing, contextual and hyper-personalization at scale both upstream and downstream transformation across online / offline, organic / earned / paid media channels.
• Digital Insights and Optimization Experience:
• Advises C-Suite executives in the areas of – web / mobile / social analytics capabilities, data science and advanced analytics techniques to deliver cause-and-effect analysis, business impact analysis and actionable insights and recommendations from 1st / 2nd / 3rd party data for ongoing optimization across channels.
• Leads eminence and innovation in the areas of – customer lifetime value, look-alike and propensity models, loyalty and segmentation models, lead scoring and engagement models, marketing channel and media attribution models, content and campaign effectiveness models, hypothesis validation, statistical and predictive models.

Sep 2014 – Aug 2018 · 3 yrs 11 mos

• Domain Experience: (Cross Industry)
• Digital strategy & roadmap, user experience & responsive design, journey cause-and-effect, analytics & marketing cloud platform assessment, data audit & governance and business impact analysis
• Digital content & marketing transformation, marketing platform automation, audience data management, personalized/targeted campaigns across channels (i.e. Adobe, Salesforce, Google, Oracle, IBM etc.)
• Digital analytics & optimization, customer & marketing analytics, web / mobile / social analytics, marketing attribution, life-time value, A/B & MVL experience optimization
• Managed analytics & reporting (i.e. 360 insights-hub for digital measurement, visitor & customer segmentation, traffic & conversions trends, channel & campaign eff.)
• Advanced analytics & Data Science, statistical & predictive models, supervised / unsupervised and reinforcement learning, NLP / vision / voice / IOT-enabled automation platform, machine / deep learning and cognitive & artificial intl. platforms (i.e. Watson, Tensorflow, Cortana, Alexa etc.)
• Managed Delivery Experience:
• Leads client pursuits, orals and engagements on digital strategy & transformation, digital adv. & marketing, digital content, campaign & commerce platform enablement & automation
• Leads client pursuits, orals and engagements on developing best-in-class adv. & marketing, insights data-hub and customer 360 intl. capabilities, employing data science, advanced analytical techniques & models and shared industry insights
• Innovation Experience:
• Leads innovation and research for clients and partners on adv. & marketing disruptions, data-driven marketing & technology transformation, customer 360 & audience segments, MarTech & Adtech ecosystem and user experience & design
• Leads innovation and research for industry leaders on machine / deep learning, NLP / vision / voice / IOT-sensor assisted automation, cognitive & artificial intl. driven platforms & services

Sep 2010 – Aug 2014 · 3 yrs 11 mos

• Assisted clients in the areas IT security, risk and compliance, IT strategy and operations, enterprise security architecture and project risk management. He has helped various clients in aligning their business goals and objectives with IT strategy, risk and transformation programs, IT security and compliance strategies, addressing risks and business resiliency across broader information risk spectrum and securing enterprise IT architecture, e-Portals, e-Business processes and e-Services over web, mobile, social and cloud platforms.
• Information Risk & Cyber Security Experience:
• Implemented and operationalized projects; Identity and Access Management, e-Governance, Risk and Compliance Management, Cyber Threat & Vulnerability Management, Security Events & Activity Monitoring, Data Protection, Information Risk Management and Business Continuity strategies.
• Increased managed revenues through proposals and pursuits, led client engagements, integrated project delivery, project risks, manage teams, control cost, manage schedule and estimate effort, and build talent pool, fostered operational excellence and enhanced delivery capabilities.
• Led strategic business relationships, collaborated with industry experts on evolving market trends, technologies and threats landscape, drove innovation and research based on emerging risks from web, cloud, social media, mobile, big data, sustainability and environmental regulations and developed innovative market-leading strategies.
• Led emerging market researches and point-of-views on cybersecurity and threat intelligence, risk analytics and intelligence, non-conventional and disruptive solutions, risks in e-Commerce, retail banking, online marketing, open-source, web, mobile, cloud and social media, e-Business in public sector, suspicious activity detection, shared access governance, conflict minerals, environmental regulations and sustainability reporting.

May 2007 – Aug 2010 · 3 yrs 3 mos

• Managed client engagements on identity and access management solutions, information risk, governance and compliance management solutions, cyber threat and vulnerability management solutions, security events and activity monitoring solutions, data protection solutions, infrastructure security solutions, risk intelligence, visualization, dashboard and analytics, information security and risk management, project risk management, incident response management and business continuity strategies.
• Designed information security solutions for complex environments and architecture including cross-platform interoperability, secure, highly available, multi-tier enterprise IT architecture based on defense-in-depth, least privilege, trusted and reduced attack surface, reusable and interoperable patterns that maintains the confidentiality, integrity and availability of information assets.
• Performed business impact assessment of IT security, cyber threats and vulnerabilities, assess IT security architecture, perform penetration testing against enterprise risk management guidelines and industry standards and provide mitigation plan, system protection procedures and guidelines.
• Led initiatives on implementation approach with leading guidelines and best practices such as FICAM, SICAM, NSTIC, TOGAF, OASIS, NIST, OWASP, WASC etc.
• Led alliances on identity analytics, interactive visualization and intelligent dashboards and subscription services with COTS vendors and open-source providers, bringing value and economic benefits to the clients.

Apr 2004 – Apr 2007 · 3 yrs

• Worked with Oracle as a security specialist, analyzing cyber threats and vulnerabilities and advising clients and internal teams on critical resolutions and mitigation approaches.
• Led the design and implementation of integrated security framework and architecture at various stages of product lifecycle and acted as a liaison between the management and development teams on implementing industry standards and best practices to build secure multi-tier Oracle solutions for customers.
• Advised at various stages of SDLC in the application security, data security and network security area primarily focusing on strengthening security and resolving critical vulnerabilities in Oracle technologies such as Database, Web Servers, Application Servers, Fusion Middleware and Enterprise Manager Grid Control.