Prasann - Computer programming tutor - Toronto
1st lesson free
Prasann - Computer programming tutor - Toronto

Prasann

  • Rate ₱1,344
  • Response 1h
Prasann - Computer programming tutor - Toronto

₱1,344/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer programming
  • Python
  • Programming languages
  • C
  • 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
  • Programming languages
  • C
  • DOS

Lesson 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.

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About the lesson

  • All Levels
  • English

All languages in which the lesson 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

  • ₱1,344

Pack rates

  • 5h: ₱6,722
  • 10h: ₱13,443

Travel

  • + ₱₱10

free lessons

This first lesson offered with Prasann will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30mins

online

  • ₱1,344/h

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levels

All Levels

All languages in which the lesson is available

English

Review

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Recommendations

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free lessons

This first lesson offered with Prasann will allow you to get to know each other and clearly specify your needs for your next lessons.

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