Shailendra Prajapati ML Engineer, AI/ML, Data Science, Python
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Hello! I am a Machine Learning Engineer with 3+ years of industry experience, working on real-world AI/ML solutions such as fraud detection, credit risk modeling, and predictive analytics.

I teach Python, Data Science, Machine Learning, Deep Learning, and Generative AI with a strong focus on practical learning and real-world applications. My sessions are designed to help you not just understand concepts, but also build projects and become job-ready.

I have helped students and professionals:
✔ Start from zero to building ML projects
✔ Crack interviews in Data Science/AI roles
✔ Work on real-world industry-level problems
✔ Improve coding, problem-solving, and confidence

Whether you are a beginner or looking to switch/advance your career, I provide a structured roadmap, hands-on assignments, and personalized mentorship.

What makes my teaching different?

✔ Project-based learning (not just theory)
✔ Real-world datasets and case studies
✔ Resume building & interview preparation
✔ Step-by-step guidance with doubt support
✔ Industry best practices and tools

I am passionate about helping students grow and achieve their career goals in AI/ML and Data Science.

Subjects

  • Machine Learning Intermediate

  • Python (for Beginners)

Experience

  • AI/ML Engineer (May, 2022–Present) at Compunnel technology
    Designed and deployed end-to-end Machine Learning models for real-world use cases such as fraud detection, credit risk modeling, and predictive analytics
    Built and optimized data pipelines using Python, SQL, and cloud platforms (Azure/AWS) for scalable ML solutions
    Worked with frameworks like Scikit-learn, TensorFlow, and PyTorch for model development and performance tuning
    Implemented MLOps practices including model deployment, monitoring, and CI/CD using Docker and Kubernetes
    Performed data preprocessing, feature engineering, and model evaluation to improve accuracy and reliability
    Developed APIs using FastAPI for real-time model inference and integration with applications
    Collaborated with cross-functional teams to translate business problems into AI-driven solutions
    Mentored junior team members and shared knowledge on AI/ML concepts, coding practices, and project development

Education

  • B.Tech Computer Science Engineering (Jul, 2015–May, 2019) from MIT University of Meghalaya–scored 7.75

Fee details

    ₹500–2,000/hour (US$5.26–21.05/hour)

    Structured fee based on student level and requirements. Beginner sessions (Python/Data Science basics) start from ₹500/hour. Intermediate (Machine Learning, projects) range ₹800–₹1200/hour. Advanced topics (Deep Learning, Generative AI, real-world projects, interview prep) up to ₹2000/hour. Discounts available for long-term courses and students.

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