Khushi Sahni Programming languages, AI and ML, Data Science
No reviews yet

I am a dedicated and passionate B.Tech student specializing in Artificial Intelligence and Data Science. With a strong foundation in programming, mathematics, and problem-solving, I enjoy helping students grasp complex concepts in an easy-to-understand and engaging manner. I am proficient in subjects like Python, Data Structures, Machine Learning basics, and Mathematics, and I have a keen interest in guiding students through their academic challenges. As a patient and approachable tutor, I aim to create a supportive learning environment that encourages curiosity and critical thinking. I strive to make learning an interactive and enjoyable experience. My goal is to help students not only excel in their studies but also develop a deeper understanding and appreciation for the subjects they learn.

Subjects

Python Beginner-Expert
Machine Learning Beginner-Expert
Automata theory Beginner
Tableau Beginner-Intermediate
Data analysis and visualization Beginner-Intermediate

Experience

Intern (Aug, 2025–Present) at Grapedawn

Working as an AI/ML product developer intern

Education

B.Tech Articial Intelligence and Data Science (Aug, 2023–now) from Ajeenkya DY Patil University–scored CGPA - 8

Fee details

₹300–800/hour (US$3.16–8.42/hour)

The fee is based on the content and level of study.

Courses offered

Python Programming
- ₹12000
- Duration: 4 Months
- Delivery mode: Online
- Group size: Individual
- Instruction language: Hindi, English
- Certificate provided: No
Course Overview

This comprehensive Python course takes you from absolute beginner to advanced programmer — building a strong foundation in coding, problem-solving, and modern Python development. You’ll start with the basics of syntax and logic, explore data structures and functions, and progress to object-oriented programming, advanced topics, and real-world project building.

What You’ll Learn

Python fundamentals: syntax, loops, and conditionals

Data structures: lists, dictionaries, tuples, sets

Functions, modules, and error handling

File management and automation

Object-Oriented Programming (OOP)

Advanced Python features: iterators, decorators, regex, JSON

Introduction to data handling with NumPy, Pandas, and Matplotlib

Every module includes mini projects to apply concepts practically — from building calculators and password generators to creating file-based systems and data analysis scripts.

By the end, you’ll be confident in Python programming and ready to move into data science, web development, or automation. You’ll have multiple projects for your portfolio and a strong command over both fundamental and advanced Python concepts.
Python and Machine learning
- ₹12000
- Duration: 6 Months
- Delivery mode: Online
- Group size: Individual
- Instruction language: Hindi, English
- Certificate provided: No
Course Overview
This hands-on program is designed to take you from Python fundamentals to mastering machine learning and deep learning techniques used in the real world. You’ll begin by building a solid programming foundation in Python, advance through data handling and visualization, and then dive into core and advanced machine learning algorithms with practical projects and case studies.

What You’ll Learn
Python Programming: syntax, data structures, functions, OOP, and file handling

Data Analysis & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis (EDA)

Statistics for ML: probability, distributions, hypothesis testing, correlation, regression analysis

Machine Learning Algorithms: regression, classification, clustering, dimensionality reduction, model evaluation

Time Series & Forecasting: ARIMA, moving averages, seasonal trends, periodic analysis

Deep Learning Essentials: neural networks, activation functions, optimization, TensorFlow & Keras basics

Hands-on Learning
Each phase includes real-world projects such as predicting house prices, building sentiment analysis systems, performing customer segmentation, and developing end-to-end ML pipelines — giving you practical experience with data-driven decision-making.

Outcome
By the end of the course, you’ll:

Have a deep understanding of Python programming and data handling

Be able to build, train, and evaluate ML models confidently

Gain exposure to time series analysis and neural networks

Be ready to pursue roles in Data Science, Machine Learning, or AI