I am an AI and Data Engineering specialist dedicated to bridging the gap between textbook theory and industry-grade production. With a strong foundation in Computer Science, my goal is to teach you not just how to code, but how to build intelligent, scalable systems.
What I teach:
Core Foundations: Master Python, SQL, and advanced Data Handling using Pandas/NumPy.
The Data Lifecycle: Learn robust ETL pipelines, Semantic Data Modeling, and Data Visualization (Power BI/Tableau).
Advanced AI Engineering: I specialize in teaching Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone/Milvus), and Knowledge Graph construction (Neo4j).
Production Monitoring: Learn how to build real-time "listeners" with Kafka/Flink and monitor AI reliability through Drift Detection.
My Teaching Philosophy:
I believe in Project-Oriented Learning. We won't just look at slides; we will build. Whether it’s a real-time market monitor or a fraud detection system, you will work on use cases that mirror the challenges faced by top-tier engineering teams.
Why learn with me?
Beginner-Friendly to Expert-Ready: I break down complex concepts like "Embedding Drift" or "Stream Processing" into simple, digestible logic.
Interactive & Result-Focused: Every session includes hands-on practice, problem-solving, and career-oriented advice to help you land your next role.
Real-World Context: Learn how to transform unstructured data (PDFs/Chats) into actionable AI insights.
Let’s turn your curiosity into professional expertise. Book a session to start building the future of AI today.
Subjects
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AWS (Amazon Web Services) Beginner-Expert
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Machine learning model deployment using Flask and Streamlit Beginner-Expert
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Python - Time-series forecasting Beginner-Expert
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AI & Machine Learning Beginner-Expert
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Python - Zero to Hero
Experience
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Data Science and Analyst Trainer (May, 2023
–Nov, 2025) at MIT Thane
Fee details
₹1,000/week
(US$10.53/week)
Fees can varies according to the courses.