A J Data Engineer
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I always teach from scratch, every topic should have theory in computer science we call as logical theory. I teach the logical theory first, then we go to basic language(python), tools & libraries(sklearn, pandas, keras, tensorfloe, opencv, etc). Next we will learn to implement from scratch in following order,
1. Data Processing/Data Analysis/Data Visualisation
2. Data Cleaning/Feature Reduction
3. Model Generation
4. Testing/Validation
5. Deployment.

Above Order is in general, depends on data there will be changes. And based on students requirements I will make individual plan for teaching.

I am better in logic, started my career in research and development for engineering students and PhD students.
Initially started with Java + Data Mining then moved to Big data(Hadoop), now working in Machine Learning and Deep Learning using Python Language and familiar in sklearn, pandas, opencv, tensorflow, keras, flask, PowerBi, SQL etc.

I also give training in business analytics area with powerBI, SQL, DAX, Matplotlib, Pandas, Seaborn, SK Learn, etc.

Subjects

  • JAVA Grade 11-Masters/Postgraduate

  • Python Grade 10-Masters/Postgraduate

  • Deep Learning Bachelors/Undergraduate-Doctorate/PhD

  • Data Science and Machine Learning Grade 11-Doctorate/PhD

  • Data analysis and visualization Bachelors/Undergraduate-Doctorate/PhD

Experience

  • Data Engineer (Sep, 2013–Present) at Avvenire Technologies
    I do data analysis, feature reduction to provide clean data and build learning model which provides high accuracy and then deployment.

Education

  • M Sc Software Engineering(Integrated) (Jun, 2007–Apr, 2012) from Anna University

Fee details

    ₹500–1,200/hour (US$5.95–14.27/hour)

    Fee will vary depending on the content complexity & time taken to prepare. After a sample class you pay.

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