Education & Tutoring

Learn from a Professor Who's Been There

One-on-one tutoring in AI, data science, statistics, and STEM from Dr. Prahlad G. Menon — a Carnegie Mellon PhD who has taught at 6 universities and published over 100 peer-reviewed papers.

PhD, Carnegie Mellon6x University Professor100+ PublicationsNVIDIA & Google Certified

PhD-Level Expertise

Not a TA or grad student — learn directly from a Carnegie Mellon PhD.

1-on-1 Attention

Personalized sessions tailored to your pace, goals, and learning style.

Real-World Context

Examples from $50M+ in industry projects, not just textbook problems.

Flexible Scheduling

Book sessions that fit your schedule. Evening and weekend slots available.

What I Teach

Subject Areas

From introductory programming to advanced research methods — covering the full spectrum of STEM and data science education.

AI & Machine Learning

Undergraduate to PhD

Neural networks, deep learning, NLP, computer vision, transformers, and agentic AI. From fundamentals to advanced research topics.

Deep LearningNLPComputer VisionLLMs & RAGReinforcement Learning

Data Science & Analytics

Beginner to Advanced

End-to-end data science workflow: EDA, feature engineering, modeling, deployment. Python, R, SQL, and cloud platforms.

Python & RPandas & NumPyScikit-learnSQL & DatabasesCloud ML

Statistics & Mathematics

High School to Graduate

Probability, statistical inference, linear algebra, calculus, and optimization. The mathematical foundations behind AI and data science.

Probability TheoryStatistical InferenceLinear AlgebraCalculusOptimization

Programming & CS

Beginner to Advanced

Python, data structures, algorithms, and software engineering best practices. Build a strong foundation for technical careers.

PythonData StructuresAlgorithmsGit & DevOpsSystem Design

Research Methods

Graduate & PhD

Academic writing, literature review, experimental design, and publication strategy. Navigate the research process with confidence.

Literature ReviewExperimental DesignAcademic WritingPublication StrategyGrant Writing

Test Prep & Admissions

Undergraduate & Graduate

GRE Quantitative, graduate school applications, statement of purpose review, and interview preparation for STEM programs.

GRE QuantitativeGraduate ApplicationsSOP ReviewInterview PrepPortfolio Review
Teaching Experience

Taught at 6 Universities

Courses in biomedical engineering, data science, AI/ML, statistics, and computational methods at top institutions.

Carnegie Mellon University
University of Pittsburgh
Duquesne University
Carlow University
University of Maryland Global Campus
University of Texas at San Antonio
How It Works

Simple & Straightforward

01

Book a Free Intro

Schedule a complimentary 15-minute call to discuss your goals, current level, and what you want to achieve.

02

Customized Plan

Receive a tailored learning plan with session frequency, topics, and milestones based on your objectives.

03

Start Learning

Begin 1-on-1 sessions via Zoom. Flexible scheduling, session recordings available, and ongoing support between sessions.

Who This Is For

Students at Every Level

Undergraduate Students

Struggling with statistics, programming, or data science coursework? Get clear explanations from someone who's taught these subjects at 6 universities.

Graduate & PhD Students

Need help with thesis research, advanced ML topics, or publication strategy? Benefit from a mentor with 100+ published papers.

Career Changers

Transitioning into data science or AI? Build a solid foundation with structured learning from an industry practitioner.

Working Professionals

Upskilling in AI/ML for your current role? Learn practical, production-ready skills from someone with $50M+ in real-world project impact.

Ready to Level Up?

Start with a free introductory session. No commitment — just a conversation about your goals and how I can help you achieve them.