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
Data engineering
Deep Learning
Machine learning
Data visualization
Assignment help
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
Data Science for intermediate
Data Science for beginners
Data Science for adults
Improved problem-solving skills
92% of students report faster problem-solving after lessons.
100% on-time college submissions
Students meet deadlines with tutor support.
Flexible lesson scheduling
90% of students find it easy to schedule lessons.
Your data science tutor also teaches
Data Analysis
Data Science
Excel
Power BI
SPSS
Tableau

Data Science concepts taught by Dhyey
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
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
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
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
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
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
Teaching tools used by data science tutor
Jupyter Notebook
Looker
RStudio
Google Colab
Streamlit
Interactive data science classes
Weekend lessons
Parent feedback
Open Q&A
Record lessons
Note taking

Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
