Dhyey Patel

Data Scientist | Generative AI | Machine Learning | Data Engineering | Business Analytics

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Dhyey Patel

Bachelors degree

/ 55 min

About your data science tutor

I’m Dhyey Patel, a passionate technology educator and AI professional currently pursuing a Master’s in Artificial Intelligence with Robotics. My academic journey and professional interests are centered around building intelligent systems and helping others master cutting-edge technologies. I specialize in Artificial Intelligence, Robotics, Data Science, Machine Learning, Deep Learning, Python Programming, Cybersecurity, Computer Networking, Cloud Computing, Database Management Systems (DBMS), Operating Systems, Software Engineering, Web Development, and the Internet of Things (IoT). I continuously expand my knowledge to stay current with the latest innovations in AI, automation, and emerging technologies. Teaching is one of my greatest passions. I have extensive experience mentoring students from beginner to advanced levels, making complex technical concepts easy to understand through practical examples, hands-on projects, real-world case studies, and interactive learning. My goal is not only to teach concepts but also to help students develop problem-solving skills and gain the confidence to succeed in academics, certifications, research, and their professional careers. I believe that technology has the power to transform lives, and I am committed to inspiring the next generation of AI engineers, data scientists, cybersecurity professionals, and software developers. My teaching approach emphasizes practical implementation, innovation, critical thinking, and continuous learning to prepare students for the rapidly evolving technology industry. My mission is to empower learners with the knowledge, practical skills, and confidence they need to excel in today’s technology-driven world.

Data Science tutor skills

Predictive modeling icon

Predictive modeling

Data engineering icon

Data engineering

Deep Learning icon

Deep Learning

Machine learning icon

Machine learning

Data visualization icon

Data visualization

Assignment help icon

Assignment help

CoTutorCoTutor

AI modules

Summary

Podcast

Quiz

Learnings

Flashcard

Spotlight

Zero Risk Guaranteed

15-days refund

Free tutor swap

No cancel fee

1-yr validity

24/7 support

Learner types for data science class

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Data Science for intermediate

Data Science for beginners icon

Data Science for beginners

Data Science for adults icon

Data Science for adults

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Improved problem-solving skills

92% of students report faster problem-solving after lessons.

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100% on-time college submissions

Students meet deadlines with tutor support.

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Flexible lesson scheduling

90% of students find it easy to schedule lessons.

Your data science tutor also teaches

Data Analysis

Data Analysis

Data Science

Data Science

Excel

Excel

Power BI

Power BI

SPSS

SPSS

Tableau

Tableau

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Data Science concepts taught by Dhyey

Student learned 5 months ago

The student sought help with lab assignments involving classes, objects, and pointers in C++. The tutor provided a focused review of class and object concepts, followed by a detailed explanation and demonstration of pointers. They planned to work on more complex programming assignments to solidify these concepts.

Public and Private Access Specifiers

Classes and Objects

Pointers: Storing Memory Addresses

Constructors and Copy Constructors

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Student learned 5 months ago

The Tutor and Student worked on the structure of a C++ program, focusing on the creation and purpose of header files (.h) and their relationship with C++ source files (.cpp). They discussed class member organization (private vs. public) and the use of preprocessor directives for header guards. The session involved practical steps for setting up these files within an IDE.

Header Files and Source Files

Include Guards (#ifndef

#define

#endif)

Class Member Access Specifiers (public and private)

Separation of Concerns and Multi-file Projects

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Student learned 7 months ago

The Student and Tutor worked through the initial steps of integrating a trading software API into a Python environment. The session covered enabling API access in the trading software, installing the necessary Python library, and writing initial code to connect and retrieve real-time stock data. The Tutor assigned the Student to verify the IP address in the trading software and will troubleshoot the remaining code issues for the next session.

Real-time Stock Analysis

API Integration in Python

Python for Prediction Purpose

Programming Platform Preparation (VS Code)

API Access Preparation in TWS

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Student learned 7 months ago

The session introduced the concept of APIs and their application in automating trading algorithms. The Student learned about API architecture, request-response cycles, and the role of JSON. The session concluded with a discussion about preparing for the next class, which will focus on the technical implementation of API calls and using libraries in C++.

API Definition

Client-Server Model in API Interaction

API Request and Response

Data Formats: JSON

API Integration and Trading Automation

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Andre learned about 1 year ago

Dhyey tutored Andre on creating a Python program to convert decimal numbers to binary and find their two's complement. They worked through the code, debugging indentation and syntax errors. Dhyey and Andre agreed to start revision of previous topics in the next session, and Dhyey will message Andre on Whatsapp to confirm the time.

Indentation in Python

Indexing

Slicing in Python

Two's Complement

Decimal Numbers

Binary Numbers

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Andre learned about 1 year ago

Dhyey Patel assisted Andre Moran-Bullock in developing a Python program to visualize a breast cancer dataset using parallel coordinates. They worked on setting up the Spider IDE, installing the `plotly` library, and defining functions to read data and display the graph. Due to persistent errors with the `plotly` installation, Dhyey will further investigate the issue and provide Andre with troubleshooting steps via WhatsApp, with Andre providing screenshots of the errors.

Installing Plotly

Reading Data from Files

Presentation Preparation

Grade Tracker Program Explanation

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Teaching tools used by data science tutor

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Jupyter Notebook

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Looker

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RStudio

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Google Colab

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Streamlit

Interactive data science classes

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Weekend lessons

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Parent feedback

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Open Q&A

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Record lessons

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Note taking

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Every tutor is interviewed and selected for subject expertise and teaching skill.