Dheeraj Kumar Lead AI Engineer & Senior Data Scientist
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I am a Lead Machine Learning Engineer and AI professional with over 13 years of industry experience in Data Engineering, Machine Learning(MLOps), Data Science and Generative AI in both Service and Product based companies. I have worked on building enterprise-scale data platforms, AI applications and real-world solutions such as fraud detection systems, personalised marketing platforms and Gen AI-based tools. My professional background allows me to bring strong practical context and industry relevance into my teaching.

Alongside my industry work, I have extensive experience in teaching and mentoring students across different age groups from school level to engineering graduates. I tutor Python programming, Data Science, Artificial Intelligence and Generative AI. My teaching approach focuses on clear explanations, strong conceptual foundations, hands-on practice, and problem-solving skills. I adapt my teaching style to the student’s level and learning pace, helping them gain confidence and apply concepts effectively in academics and real-world scenarios.

I design my lessons to be structured, interactive and goal-oriented. Each session includes practical examples, assignments, and regular feedback to track progress. I focus on building logical thinking and confidence in students, helping them perform better academically while also preparing them for higher studies and real-world applications in technology.

Subjects

  • Python Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • Generative AI Beginner-Expert

  • AI & Machine Learning Beginner-Expert

  • Agentic AI Beginner-Expert

Experience

  • Senior Data Scientist (Jun, 2021–Nov, 2025) at Mastercard
    A seasoned Lead ML Engineer and Data Science professional with over 12 years of experience in building enterprise-grade Data and AI solutions. I specialise in designing end-to-end data platforms, developing scalable machine learning systems, and leading Generative AI initiatives across large organisations. My work includes architecting centralised data ecosystems, deploying high-impact AI use cases such as fraud detection and personalised marketing, and delivering horizontal GenAI capabilities. I have a strong track record of collaborating with business and back-office teams, driving AI adoption, and enabling measurable improvements in productivity, automation, and decision-making. Alongside technical delivery, I actively contribute to organisational culture, leadership development, and mentoring initiatives.
  • Data Scientist (Nov, 2011–May, 2021) at Infosys Technologies Limited
    • 10+ years experienced Senior Software Engineer and Certified Data Science Professional highly skilled in solving real-world business challenges using data analytics and building predictive models.
    • Adept at setting up the Data Science Workbench for increasing overall organizational efficiency.
    • Proficient in identifying patterns and extracting valuable insights for key stakeholders and organizational leadership.
    • 5 years of development experience in designing, developing and testing IBM Infosphere DataStage(ETL) jobs using Datawarehouse concepts.
    • Areas of Expertise:
    Data Analytics | Python | NLP | Machine Learning | Text Summarization | Predictive Analytics | Classification | Regression | Clustering | Data Engineering | Airflow

Education

  • B.Tech (Aug, 2007–May, 2011) from sree nidhi institute of science and technology Hyderabad–scored 81%

Fee details

    ₹400–900/hour (US$4.21–9.47/hour)

    For teaching Data science I can charge on monthly basis or complete course depending on user profile. For completing Data Science Assignments, I can charge depending upon the difficulty level of DS assignments and if students are pursuing online diploma programs, I can charge based on monthly basis.

Courses offered

  • Python Training

    • ₹8000
    • Duration: 1 Month
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: English
    • Certificate provided: Yes
    Python Training – Beginner to Intermediate (For Grade 6–12 Students & Early Learners)

    This Python training program is designed to help young learners build a strong foundation in programming through simple, engaging, and practical lessons. The course follows a step-by-step approach that introduces core concepts, develops logical thinking, and enables students to apply Python in real scenarios.

    What students will learn:
    • Basics of programming and how Python works
    • Variables, data types, operators, and input/output
    • Conditional statements and loops
    • Functions and modular programming
    • Lists, tuples, dictionaries, and strings
    • Basic file handling
    • Simple games and mini-projects
    • Problem-solving and algorithmic thinking
    • Introduction to real-world applications (AI, automation, data handling)

    Teaching approach:
    • Concepts explained in simple, student-friendly language
    • Practical coding in every class
    • Worksheets, exercises, and revision tasks
    • Live guidance and doubt-clearing
    • Customized pace based on the student’s comfort and level
    • Optional project-based extension for interested learners

    Ideal for:
    • Students from Grade 4–10
    • Beginners with no programming background
    • Learners who want to strengthen logic and coding fundamentals
    • Students preparing for school ICT/CS curriculum or competitions

    Outcomes:
    By the end of the course, students will be able to write Python programs independently, think logically, and apply programming concepts to solve real problems. They will also build confidence to explore advanced areas like AI, coding competitions, and school projects.

  • AI and Machine Learning

    • ₹10000
    • Duration: 1 Month
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: Yes
    AI Training – Foundations of Artificial Intelligence & Practical Applications (For Grade 6 – Graduate Students)

    This course introduces young learners to the world of Artificial Intelligence through simple explanations, hands-on activities, and real-life examples. It focuses on building strong fundamentals in logic, data, and problem-solving—skills essential for understanding AI and its applications in today’s world.

    What students will learn:
    • What Artificial Intelligence is and how it works
    • Types of AI – rule-based, machine learning, deep learning
    • Understanding data: how computers learn from examples
    • Basics of machine learning concepts (training, testing, accuracy)
    • Classification and prediction through easy, visual examples
    • Using simple AI tools to build models
    • Introduction to image, text, and voice-based AI
    • Ethical and responsible use of AI
    • Mini-projects like:
    – Predicting outcomes using simple datasets
    – Image recognition using beginner-friendly tools
    – Creating chat-based or rule-based AI systems

    Teaching approach:
    • AI concepts taught using stories, visuals, and real-world scenarios
    • No heavy math; focus on intuition and understanding
    • Interactive tools and activities for hands-on experience
    • Doubts cleared in real time with guided practice
    • Encourages curiosity, creativity, and critical thinking
    • Structured notes and mini-assignments provided

    Ideal for:
    • Students from Grade 6 - Graduate
    • Beginners who want to explore AI in a simple, guided way
    • Learners preparing for school AI curriculum (CBSE/ICSE)
    • Students interested in technology, coding, or STEM fields

    Outcomes:
    By the end of the course, students will understand key AI concepts, build small AI projects, and confidently discuss how AI is used in everyday life—laying the foundation for advanced learning in AI, ML, and Python programming.

  • Data Science and Machine Learning

    • ₹15000
    • Duration: 2 Months
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: Yes
    Data Science & Machine Learning Training – Foundations to Practical Projects

    This course introduces students to the fundamentals of Data Science and Machine Learning using simple explanations, visual tools, and hands-on exercises. It helps learners understand how data-driven decisions are made and how computers learn patterns through examples.

    What students will learn:
    • What Data Science is and why it matters
    • Understanding datasets: rows, columns, features, labels
    • Data cleaning and preprocessing (taught in a simplified, intuitive way)
    • Basics of statistics used in Data Science
    • Introduction to Machine Learning concepts
    – Training vs. testing
    – Features and labels
    – Model evaluation
    • Types of ML models:
    – Classification
    – Regression
    – Clustering (basic idea)
    • Hands-on ML activities using beginner-friendly tools
    • Visualizing data using simple graphs
    • Mini-projects such as:
    – Predicting grades or scores
    – Identifying patterns in simple datasets
    – Making a basic recommendation system
    – Image or text classification using guided platforms

    Teaching approach:
    • Concepts explained using real-life examples (sports, school data, shopping, etc.)
    • No complex math—focus on intuition and understanding
    • Interactive, tool-based exercises to build confidence
    • Step-by-step guidance with small tasks after every topic
    • Doubt clearing and personalized support
    • Structured notes, worksheets, and project templates provided

    Ideal for:
    • Students in Grades 9–12, Graduates, Beginners and Professionals
    • Beginners with interest in AI, Data Science, or coding
    • Learners following CBSE/ICSE AI/DS curriculum
    • Students preparing for tech competitions

    Outcomes:
    By the end of the course, students will understand how data is collected, analyzed, and used to build Machine Learning models. They will complete small DS/ML projects, learn to think analytically, and develop confidence to explore advanced areas like AI, Python programming, and model building.

  • Generative AI and AI Agents

    • ₹15000
    • Duration: 2 Months
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: English
    • Certificate provided: Yes
    This course provides a practical introduction to Generative AI and Agentic AI, designed for students and professionals who want to understand how modern AI systems work and how they are applied in real-world scenarios. The course starts with the fundamentals of Generative AI, including large language models, prompting techniques, and common use cases such as chatbots, content generation, and knowledge assistants.

    It then introduces Agentic AI concepts such as autonomous agents, planning, tool usage, memory, and multi-agent workflows. Learners will see how agents differ from standard AI applications and how they can be used to automate tasks, coordinate workflows, and solve complex problems.

    The training includes hands-on demonstrations, simple agent-building exercises, and real-life examples. By the end of the course, learners will have a clear understanding of GenAI and Agentic AI concepts and the confidence to explore advanced applications or projects independently

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