Prabhat Sharma ML | Python | LLM | SQL | GEN AI | Power Apps
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Prabhat Sharma – Expert in GenAI, LLMs, Python, SQL, ML, Power BI & Power Automate | Tutor, Mentor & Project Guide

I help students, analysts, developers, and working professionals go far beyond basic coding and actually learn how to build modern, job-relevant systems.

My focus is not limited to just Python or SQL. I work across a wide spectrum of high-value technical skills including Generative AI, LLMs, Claude, ChatGPT-based workflows, semantic modelling, SQL performance tuning, machine learning with PyTorch, Power BI, Power Automate, and real-world AI project building. I also bring strong practical exposure from working on 50+ AI-oriented GitHub projects and real implementation-style use cases, so the learning stays grounded in what people are actually building today.

If your goal is to understand how modern AI systems work, improve your SQL deeply, become stronger in Python, build an impressive project portfolio, or prepare for technical interviews in data and AI roles, I can help you do that in a structured and practical way.

I strongly believe that technical learning should not feel disconnected from the real world. A lot of people know syntax, but they struggle when they have to solve a real problem, optimize a slow query, structure a dataset, build a model, automate a business workflow, or use LLMs meaningfully. My teaching is designed to close exactly that gap.

What I help you learn
Generative AI, LLMs & Modern AI Development

This is one of the strongest parts of my teaching and mentoring. If you want to understand what is happening in today’s AI world and not just watch from the sidelines, this is where we can go deep.

We can work on:

Understanding Generative AI fundamentals
Learning how LLMs actually work at a practical level
Working with tools and ecosystems around Claude, ChatGPT, and modern AI workflows
Prompt engineering for real outcomes, not superficial prompt tricks
Building real use cases around document understanding, structured extraction, assistants, tutoring tools, and workflow automation
Understanding where LLMs fail, how to improve outputs, and how to think about production use cases
Project-based learning inspired by real GitHub-style AI builds and modern startup/product thinking

If someone wants to enter AI development today, I can help them approach it in a practical and confidence-building way.

Python – From Foundations to Real Project Work

Whether you are an absolute beginner or already working with code, I can help you get stronger in Python with a clear path.

We can cover:

Variables, data types, loops, conditions, and functions
Lists, tuples, dictionaries, and sets
Writing clean and readable logic
File handling and data processing
Object-Oriented Programming
Problem solving in Python
Building small to medium real-world projects
Python for data analysis
Python for AI and ML workflows
Python for automation and backend-style thinking

I do not believe in teaching Python as isolated syntax. I teach it as a tool for solving real problems.

SQL – From Basics to Advanced Performance Tuning

A lot of people learn SQL only at surface level. I help learners become genuinely strong in SQL, including the kind of thinking needed in real jobs.

We can cover:

SELECT, FROM, WHERE
ORDER BY, filtering, conditional logic
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
GROUP BY and HAVING
Subqueries and CTEs
Complex scenario-based query writing
Interview-level SQL problem solving

And then we go much deeper into the topics that truly make someone stand out:

Advanced SQL topics
Window functions like ROW_NUMBER(), RANK(), DENSE_RANK()
LEAD() and LAG() for trend and comparison analysis
Running totals, moving averages, and cumulative logic using OVER()
Advanced aggregation logic
PIVOT and UNPIVOT concepts
Query modularization and readability
SQL Performance Tuning

This is a very important differentiator.

We can work on:

Understanding why a query is slow
Reading execution plans
Indexing concepts
Writing more efficient queries
Avoiding expensive joins and unnecessary scans
Query refactoring for performance
Practical database thinking, not just writing syntactically correct SQL

This is especially useful for people who want to move from beginner/intermediate SQL into strong analyst, developer, or backend/data roles.

Semantic Modelling, Data Thinking & BI Mindset

A lot of learners know how to write code but struggle to structure business data properly. This is where semantic modelling and analytics thinking become important.

I can help with:

Understanding how to structure data for reporting and analysis
Thinking in terms of business entities, relationships, and analytical layers
Semantic modelling concepts for reporting systems
Designing datasets that are actually useful for dashboards and decision-making
Translating business questions into query and model logic

This becomes especially powerful when combined with SQL and Power BI.

Machine Learning & Deep Learning

I also teach machine learning in a way that makes it feel practical rather than intimidating.

We can cover:

Data cleaning and preprocessing
Feature engineering
Model selection and evaluation
Supervised learning
Unsupervised learning
Classification and regression workflows
Metrics like precision, recall, F1-score, RMSE, and accuracy
Bias-variance and generalisation basics

And if you want to go further:

PyTorch & Deep Learning
Neural network fundamentals
Tensors and training loops
Building simple deep learning models
Working with PyTorch
Understanding how deep learning fits into modern AI pipelines
Introductory NLP and computer vision concepts
Hands-on learning instead of purely theoretical explanations
Power BI & Power Automate

For working professionals and business users, these are highly valuable tools, and I can help from a practical business angle.

We can work on:

Power BI
Data cleaning and shaping
Relationships and data modelling
Measures and calculated columns
Dashboard thinking
Business reporting design
Turning raw data into useful decision-making outputs
Power Automate
Workflow automation
Approval flows
Notifications and triggers
Business process automation
Connecting tools and reducing repetitive manual work

This is very helpful for people who want immediately usable skills inside business environments.

How I teach

My style is very hands-on, patient, and practical.

I usually teach through a progression like this:

First, I explain the concept in plain language, without making it unnecessarily complex.
Then, we solve a real example together.
Then, I give you a related challenge so you can apply it yourself with guidance.
That is how confidence is built.

I also adapt a lot based on the student. Some people need stronger foundations. Some want interview prep. Some want project guidance. Some want to build AI products. Some want help understanding work-related datasets, SQL logic, Power BI reports, or machine learning code. I adjust the sessions accordingly.

Who this is for

I can help if you are:

A complete beginner starting with Python or SQL
A student preparing for internships or placements
A working analyst wanting stronger SQL, BI, and automation skills
A developer wanting to move into AI, LLMs, and ML projects
Someone trying to understand GenAI practically, not just theoretically
Someone building a portfolio with real projects
Someone preparing for technical interviews in Python, SQL, data, analytics, or AI roles
What makes my mentoring different

A lot of teaching focuses on theory, slides, or copied examples. I focus much more on helping you think clearly, solve problems, and build useful technical depth.

My mentoring is especially useful if you want exposure to a combination of:

GenAI
LLMs
Claude / modern AI tooling
50+ AI project patterns from GitHub-style builds
Python
SQL
SQL performance tuning
Semantic modelling
Machine learning
PyTorch
Power BI
Power Automate
Interview preparation
Portfolio-oriented practical learning
Simple promise

My goal is not just to “teach topics.”
My goal is to help you become capable.

Capable of writing code.
Capable of thinking through data problems.
Capable of building AI projects.
Capable of handling SQL beyond textbook level.
Capable of creating work that actually looks valuable in the real world.

Subjects

  • Python Beginner-Expert

  • SQL Beginner-Expert

  • Oracle Beginner-Expert

  • Data Science Beginner-Expert

  • PostgreSQL Beginner-Expert

  • Mental toughness Beginner-Expert

  • Power Automate Beginner-Expert

  • OpenAI Beginner-Expert

  • GenAI Beginner-Expert

  • Large Language Models LLMs Intermediate-Expert

  • RAG (Retrieval-Augmented Generation) Beginner-Expert

  • AI agents Expert

  • Agentic AI Beginner-Expert

  • Claude Expert

  • Python and AI/ML basics Beginner-Expert

Experience

No experience mentioned.

Education

  • Btech (Jul, 2003–Jun, 2006) from MANIT, Bhopal

Fee details

    ₹2,000–12,000/hour (US$21.05–126.30/hour)

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