Devesh Singh

Years of Experience in Robotics classes

12

Teaching Experience in detail in Robotics classes

I have been actively teaching Robotics for several years, combining my industry experience with a passion for hands-on learning. My teaching covers the full spectrum—from foundational concepts to real-world project implementation—aimed at school students, hobbyists, and early-stage tech learners. My robotics curriculum begins with the basics of electronics and hardware: Understanding components like motors, sensors, batteries, and microcontrollers Introduction to breadboards, jumper wires, and circuits Safety and best practices when working with hardware I introduce students to microcontrollers such as Arduino and ESP32, teaching them how to connect components and write programs to control them. Key concepts include: Reading sensor data (IR, ultrasonic, temperature, etc.) Controlling actuators (DC motors, servos, LEDs) Writing logic for automation and interaction Understanding input-output, PWM, and analog-digital signals For younger students, I use block-based tools like Tinkercad Circuits or Scratch with Arduino, while for advanced learners, I focus on Arduino C/C++ and integration with Python or ROS for more complex systems. As students advance, I guide them through project-based learning: Line-following robots Obstacle-avoiding robots Bluetooth-controlled or voice-controlled robots IoT-based home automation systems Robotic arms and basic mechatronics setups I ensure they not only build robots but understand how to debug, improve, and iterate on their designs. I also integrate 3D design (Fusion 360) and 3D printing into the robotics curriculum, enabling students to design and print custom parts for their robots, giving them full ownership from design to prototype. Workshops are structured around innovation, teamwork, and fun, with mini competitions and showcases. I’ve conducted school summer camps, ATL lab sessions, and offline/online workshops, adapting the content to suit age and skill level. My goal is to spark curiosity and problem-solving in students—empowering them to become makers and innovators, not just consumers of technology. I focus on building both technical confidence and creative thinking, making robotics approachable, exciting, and deeply educational

Years of Experience in Data Science Classes

10

Teaching Experience in detail in Data Science Classes

I have taught Data Science to diverse audiences ranging from school students to working professionals. My experience includes both online and offline instruction, with a strong emphasis on real-world applications and project-based learning. Curriculum Design: Developed and delivered beginner to intermediate-level modules covering Python for Data Science, statistics, data wrangling with Pandas, data visualization with Matplotlib and Seaborn, and introductory machine learning concepts using Scikit-learn. Tools & Platforms: Taught using Jupyter Notebooks, Google Colab, and real datasets (e.g., Kaggle datasets, open government data). Also trained students to use GitHub for version control and portfolio building. Project-Based Learning: Guided students through hands-on projects such as: Predicting housing prices using regression models Analyzing social media sentiment using NLP Customer segmentation using clustering techniques Assessment & Mentorship: Designed quizzes, coding challenges, and capstone projects to track learning outcomes. Offered one-on-one mentorship for doubt-clearing and career guidance. Workshops & Bootcamps: Conducted intensive Data Science bootcamps and short-term workshops focusing on rapid skill development and practical implementation.

Years of Experience in CAD Training

10

Teaching Experience in detail in CAD Training

I have been teaching 3D CAD and 3D printing for several years, with a strong focus on tools like Fusion 360, Tinkercad, and FDM-based 3D printers. My teaching is project-based, hands-on, and tailored to help students understand the full product design process—from concept to physical prototype. For beginners and school students, I start with Tinkercad, a browser-based CAD tool ideal for introducing 3D design fundamentals. Through fun and engaging projects like designing keychains, toys, or basic mechanical parts, students quickly learn the concepts of 3D geometry, design thinking, and prototyping. As learners progress, I transition them to Fusion 360, where I cover: Sketching and constraints Parametric modeling Assemblies and joints Simulation basics Preparing models for 3D printing (STL export, slicing) In every session, I ensure students understand the real-world relevance of their designs. I often give challenges like “design a phone stand,” “create a gear mechanism,” or “build a customized enclosure for electronics,” to connect their learning with practical outcomes. In parallel, I teach 3D printing workflows, including: Understanding printer hardware and materials (PLA, ABS, PETG) Using slicing software (like Ultimaker Cura) Bed leveling, print settings, and troubleshooting failed prints Safety guidelines and post-processing methods (sanding, supports, etc.) Students are encouraged to iterate their designs, fix errors, and understand the relationship between CAD design and physical output. I also introduce basic manufacturing concepts like tolerances, infill, and layer height to make them industry-ready. I have conducted workshops, summer camps, and short-term certification programs in schools, colleges, and makerspaces. My teaching style blends technical depth with creativity, making complex tools like Fusion 360 easy to grasp, even for younger learners. My goal is to empower students to go from “idea to product”—building confidence in digital fabrication, product design, and innovation through CAD and 3D printing.

Years of Experience in Python Training classes

10

Teaching Experience in detail in Python Training classes

I have been teaching Python programming for several years to students ranging from absolute beginners to those preparing for careers in software development, data science, and robotics. My teaching style is highly practical, structured, and beginner-friendly, ensuring that learners build strong coding foundations through hands-on projects and clear explanations. I begin with the core fundamentals of Python, including: Variables, data types, and operators Conditional statements and loops Functions and scope Lists, tuples, dictionaries, and sets String manipulation Once the basics are clear, I guide students into more advanced topics such as: File handling Object-Oriented Programming (OOP) Modules and libraries Error handling and debugging Working with APIs and JSON My sessions often include live coding, small challenges, and practical examples from real-world scenarios to build both logic and confidence. I believe in learning by doing—so every student works on multiple small projects like: Calculator To-do list app Quiz game Weather checker using an API Simple chatbot I also introduce version control using Git and show students how to structure their code for readability and collaboration. For more advanced learners, I introduce modules like tkinter for GUI development, matplotlib for basic plotting, and touch upon scripting and automation tasks. I have taught Python in various formats—online classes, summer camps, bootcamps, and school/college workshops. I’ve worked with both young school students and adult learners, customizing content and pace to suit the audience. In robotics and AI courses, I integrate Python as the primary language for controlling sensors, analyzing data, and building intelligent systems.