Sasidhar Donaparthi
I am a mechanical engineering graduate with 3 decades of experience in manufacturing and financial services domains, I have started my career as design engineer in hydraulic turbine manufacturing company. After spending 5 years, I have stated my IT journey at Aspect Development/i2 Technology. I have worked primarily on data scrubbing, modelling, analysis and data migration projects for supply chain management. I then joined technology services side of a financial services company and currently working as data scientist. I have been using python for last 10+ years for automation, data analysis, data science, web development, etc. I am very excited about the endless opportunities that arise in day today work and application of python for solving problems, automating day to day activities. I conduct regular training sessions for data analysis ( numpy, pandas, scikit-learn and matplotlib) in my company.
I am a regular speaker at Pycon India conference. I have done various talks and workshops in Pycon India since 2017.
He/Him
Speaker Tagline –Data Scientist | Financial Services Firm
Gravatar - Professional Photo – LinkedIn Profile – Instagram Profile –Session
In an era where AI models are evolving rapidly, context is everything. Model Context Protocol (MCP) bridges the gap between static models and dynamic, real-world interactions. This session will explore how MCP empowers AI to adapt, refine, and optimize decisions based on contextual cues—leading to smarter predictions, personalized experiences.
Attendees will gain a deep understanding of MCP’s components, application, challenges, and future potential. Whether you're an AI enthusiast, a researcher, or an industry professional, this talk will provide valuable insights into leveraging MCP for real-world innovation and enhanced AI decision-making. Join me to unlock the future of intelligent, context-aware models!