1st class free
Prasann
- Rate ₹2,027
- Response 1h
₹2,027/hr
Contact
1st class free
- Computer programming
- Python
- C
- Programming languages
- DOS
Machine learning educator and industry data scientist with 8 years of experience. I teach C, C++, Python, data science, machine learning, deep learning, and AI through hands-on projects, labs, and per
- Computer programming
- Python
- C
- Programming languages
- DOS
Class location
About Prasann
I bring more than eight years of combined academic and industry experience in machine learning and data science. I have taught graduate-level courses, supervised capstone projects, and built production-ready ML systems for healthcare, manufacturing, retail, and finance. My work is published in IEEE and Springer, and I am a PhD candidate with a Master of Technology in Computer Engineering. These credentials mean you will learn from someone who understands both rigorous theory and real-world practice.
My teaching is practical, structured, and student-centered. I explain core ideas with clear intuition, demonstrate them with live coding and annotated notebooks, and guide students through focused exercises and small projects that become portfolio ready. I emphasize reproducible workflows, testing, and MLOps so students learn how models are built, deployed, and maintained. Lessons are adapted to each student, with measurable goals, timely feedback, and resources to continue learning independently.
I am professional, reliable, and committed to your progress. Lessons start on time, come with prepared materials, and include actionable next steps and review. I have mentored capstone teams and trained hundreds of professionals, so I can quickly identify gaps and design effective practice. If you want clear explanations, hands-on experience, and a path to real projects, Prasann is ready to help you reach your goals.
See more
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +17
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Undergraduate
Masters
PhD
Other
MBA
Kindergarten (LKG, UKG)
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
All languages in which the class is available :
English
Teaching methodology and techniques
I teach by combining clear theory with hands-on practice so students build both understanding and skill. I start with simple intuition and then show how concepts map to real code and real data. I use live coding demonstrations, annotated notebooks, and step-by-step walkthroughs to make abstract ideas concrete. I give short exercises during the lesson for immediate practice and provide constructive feedback right away. I emphasize reproducible workflows, testing, and good engineering habits so students learn how models are built and maintained in real projects. I adapt the pace and examples to each student and use project-based learning to keep lessons relevant and motivating.
Typical lesson plan
Warm-up and goals
I begin each lesson by stating clear learning objectives and checking the student level.
Concept overview
I explain the core idea with simple examples and visual intuition.
Live demonstration
I run code or show a worked example while narrating decisions and trade-offs.
Guided practice
The student completes a focused exercise while I observe and give feedback.
Mini project or application
We apply the concept to a small real-world task that can be extended into a portfolio piece.
Review and next steps
I summarize key takeaways, assign a short practice task, and suggest resources for deeper study.
A typical 90-minute session can be adjusted to 60 or 120 minutes depending on the topic and student needs.
What sets me apart as a tutor
Industry and academic experience
I combine production experience as a lead data scientist with academic teaching and published research. This means I can explain both theory and practical trade-offs.
Project-based focus
I guide students to build portfolio-ready projects so learning leads to demonstrable outcomes.
MLOps and production readiness
I teach not only models but also how to prepare them for deployment monitoring and maintenance.
Personalized mentorship
I tailor examples and pacing to each student and provide annotated notebooks and testable code so learning is reproducible.
Proven mentoring record
I have mentored capstone teams and trained hundreds of professionals, which helps me diagnose learning gaps quickly and design effective practice.
Who the lessons are for
Beginners
Students new to programming who want a practical path into data science and Python.
Undergraduate and graduate students
Learners studying computer science, engineering, statistics, or related fields who need help with courses, projects, or research.
Working professionals
Engineers, analysts, and researchers who want to apply machine learning in healthcare, manufacturing, retail finance, or other domains.
Project-oriented learners
Anyone who wants to build portfolio projects in machine learning, deep learning, NLP, computer vision, or time series forecasting.
Specific classes and needs
I support course tutoring, exam preparation, capstone supervision, interview preparation, and guided project work.
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Rates
Rate
- ₹2,027
Pack prices
- 5h: ₹10,135
- 10h: ₹20,271
online
- ₹2,027/hr
Travel
- + ₹10
free classes
This first free class with Prasann will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 30mins
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