Dinesh Kumar B

Experienced Senior Program Manager | AI & NLP Practitioner | ITSM & Data Science Expert with 18+ years in ITSM, Agile Delivery, and Risk Management. Led global IT transformations across industries and expanded expertise into AI, ML, and NLP to drive automation, predictive analytics, and AI-driven IT service optimization. Certified in Master Data Science Program (GUVI - IITM & HCL collaboration) with expertise in Machine Learning, AI (TensorFlow, Hugging Face, Transformers, NLP), Python for Data Science, Predictive Analytics, and Cloud Computing (AWS, Azure, GCP). Worked on AI-powered projects like NLP-based sentiment analysis (BERT Transformers), predictive ITSM analytics, and IT process automation, bridging AI, IT service management, and cloud technologies.

• Led a team of 30 professionals delivering critical programs on time, improving efficiency by 20%.
• Managed resource allocation and budgeting, reducing operational costs by 15%.
• Directed ITSM change management processes, reducing incident resolution time by 30% and saving $15K.
• Explored AI-driven IT process automation for enhanced efficiency in IT operations.
• Managed cross-functional teams of 80+ professionals for projects worth $10M, achieving 95% customer satisfaction.
• Led risk mitigation strategies, reducing project delays by 20%.
• Identified potential AI applications in risk assessment and ITSM automation.
• Managed SLAs & KPIs, maintaining 98% compliance and improving IT service delivery.
• Led localization of L'Oréal's Sitecore CMS for 8 EMEA countries, reducing incident recurrence by 20%.
• Evaluated AI-driven predictive maintenance for IT service optimization.
• Spearheaded Agile transformation, improving project delivery times and boosting efficiency by 20%.
• Explored AI-driven sprint analytics for better backlog prioritization and defect prediction.
• Developed and executed test strategies, improving product quality by 15%.
• Investigated AI-powered defect prediction models for optimizing QA processes.
• Created standardized QA protocols, improving testing accuracy across multiple products.
• Led manual and automated testing, reducing defect rates and accelerating software releases.
• Researched AI-driven automated test generation and anomaly detection for future implementations.

Master Data Science Program (GUVI - IITM & HCL)