Partha Chatterjee

Class Location

Online class via Zoom

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Years of Experience in Full Stack Data Science

7

Teaching Experience in detail in Full Stack Data Science

7+ years of hands-on experience teaching and applying Data Science end-to-end — from data collection and cleaning to model building, deployment, and production monitoring. Taught Python, Statistics, Data Analysis, Machine Learning, Deep Learning, and AI to BCA, MCA, BTech students and working professionals at university level and corporate training programmes. Developed AI and Data Science curriculum in collaboration with Intel and CBSE — giving me rare depth in structuring Full Stack Data Science learning paths from fundamentals to advanced. Worked as Data Scientist at Innominds with real industry project experience. Currently delivering AI and ML training at Accenture. Full stack coverage includes: Python, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, NLP, Computer Vision, SQL, MongoDB, REST APIs, Flask/FastAPI for model deployment, Docker, Kubernetes, AWS SageMaker, and Azure ML. Teaching is project-driven and interview-focused — students build actual pipelines, not just theory. Also bring Robotics and AI integration experience from NITI Aayog ATL programme, giving a unique edge in applied and embedded AI — increasingly relevant in full stack Data Science roles.

Class Location

Online class via Zoom

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Years of Experience in BTech Tuition

18

Teaching Experience in detail in BTech Tuition

18+ years teaching Computer Science and IT subjects to undergraduate and postgraduate students including BCA, MCA, and BTech level. Core subjects taught include Data Structures, Algorithms, Python Programming, Database Management, Operating Systems, Computer Networks, and Object-Oriented Programming. Later specialised in advanced topics including Machine Learning, Data Science, Artificial Intelligence, Generative AI, DevOps, Docker, Kubernetes, AWS, and Azure — all directly relevant to BTech CS and IT curriculum. Taught at university level as guest lecturer at IGNOU and Burdwan University. Industry experience as Data Scientist at Innominds and currently as AI/ML trainer at Accenture adds practical, real-world depth to every session. Teaching style is concept-first, project-based, and interview-focused — helping BTech students not just pass exams but build portfolios and crack placements.

Class Location

Online class via Zoom

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Years of Experience in Class 12 Tuition

18

Teaching Experience in detail in Class 12 Tuition

I have taught Class 12 Computer Science and IP for over a decade. I was twice awarded by the Ministry of Education for Best Teaching and Results in Computer Science (2014 and 2015). Additionally, I served as a master trainer for DAVCAE, training Computer Science teachers during the transition to Python from C++ only in the CBSE curriculum.

Class Location

Online class via Zoom

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Years of Experience in Agile Training

7

Teaching Experience in detail in Agile Training

7+ years of experience teaching and applying Agile methodologies in both academic and corporate settings. Delivered Agile training to software development teams, IT professionals, and students as part of DevOps and project management programmes at Accenture and Cranes Varsity. Topics covered include Scrum framework, Sprint planning, Kanban, Agile estimation, user stories, retrospectives, CI/CD integration with Agile, and scaling Agile in enterprise environments. Training is always grounded in real project scenarios — not just theory — helping learners immediately apply Agile practices in their actual workplace or interviews. Background in AI, ML, and DevOps gives an added advantage when teaching Agile in modern software delivery contexts — where Agile, DevOps, and automation work together as one culture.

Class Location

Online class via Zoom

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Years of Experience in Full stack generative AI

7

Teaching Experience in detail in Full stack generative AI

7+ years of experience in AI and Data Science education, with focused expertise in Generative AI across the full stack — from foundational concepts to production deployment. Currently delivering GenAI training at Accenture, covering the complete GenAI pipeline for working professionals and corporate teams. Topics covered include Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), Fine-tuning open source models, Hugging Face ecosystem, LangChain, OpenAI API, Gemini, vector databases (Pinecone, ChromaDB), embedding models, and deploying GenAI applications using FastAPI, Docker, and cloud platforms including AWS and Azure. Also developed AI and Data Science curriculum in collaboration with Intel and CBSE — giving strong depth in structuring GenAI learning paths from fundamentals to applied projects. Teaching is hands-on and project-based — students build real GenAI applications, not just understand concepts.

Class Location

Online class via Zoom

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Years of Experience in Full Stack Agentic AI

5

Teaching Experience in detail in Full Stack Agentic AI

5+ years in AI education with cutting-edge expertise in Agentic AI — one of the most in-demand and rapidly evolving areas in the field today. Delivering Agentic AI training at Accenture to professionals transitioning into advanced AI roles. Topics covered include AI Agents architecture, multi-agent systems, autonomous task execution, tool use and function calling, ReAct framework, LangGraph, AutoGen, CrewAI, OpenAI Assistants API, memory and planning in agents, and building end-to-end agentic workflows integrated with RAG pipelines, APIs, and databases. Training connects Agentic AI with real enterprise use cases — automating workflows, building intelligent assistants, and deploying production-grade agent systems on AWS and Azure. Background in DevOps and Kubernetes adds practical depth in containerising and scaling agentic applications — a skill set very few trainers bring to this subject.