Sector 38 Islampur Village, Gurgaon, India - 122018.
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Hindi Proficient
English Proficient
banaras hindu university 2007
Master of Science (M.Sc.)
Sector 38 Islampur Village, Gurgaon, India - 122018
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
R Programming, Python, Machine learning, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I currently work as Data scientist and has more than 6 years experience in it.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Data Structures, Theory of Computations, Software Engineering, Microprocessors, Computer Systems Architecture, Calculus and Geometry, Statistical Methodology, Basic Statistics and Probability, Operational Research, Data Mining, Calculus and Matrices, Discrete Structures, Programming Fundamentals, Artificial Intelligence
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, communication skills, Foundation of mathematics & statistics, Problem solving methodologies & programming in C
BSc Economics subjects
Econometric Methods, Matrix Algebra, Microeconomics
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Statistics, BSc Mathematics, BSc Economics, BSc IT
BSc Statistics Subjects
Real Analysis, Probability and Statistical Methods, Linear Models, Numerical Analysis, Stochastic Processes, Calculus, Technical Writing and Communication in English, Computer Programming in C, Econometrics, Survey Sampling, Statistical Inference, Applied Statistics, Operational Research, Design of Experiments, Bio-Statistics, Algebra
BSc Mathematics Subjects
Economics, Discrete Mathematics, Mathematical Finance, Analysis, Number Theory, Numerical Methods and Programming, Algebra, Differential Equations and Mathematical Modelling, Probability and Statistics
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Data Structures and Algorithms, Simulation and Modelling, Programming in C#, Artificial Intelligence, Linux Programming, Machine Intelligence, Big Data Analytics, Machine Learning
BTech Branch
Telecom Engineering, BTech 1st Year Engineering, BTech Information Science Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Business Intelligence, Cloud Computing, Computer Networks, Mobile Computing, Software Defined Networking, Big Data Analytics, Software Architecture, Machine Learning, Data Structures and Algorithms, Social Network Analytics, Neural Network and Fuzzy Logic, Data Warehousing and Data Mining, Embedded Systems, Artificial Intelligence, Pattern Recognition, Software Engineering, Web Intelligence, Computer Vision, Semantic Web, Design & Analysis of Algorithms, Principles of Data Communication
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Communication Skills, Computer science, Advanced Mathematics (M2), Engineering Mathematics (M1)
1. Which classes do you teach?
I teach BSc Tuition, BTech Tuition and Data Science Classes.
2. Do you provide a demo class?
Yes, I provide a paid demo class.
3. How many years of experience do you have?
I have been teaching for 10 years.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
R Programming, Python, Machine learning, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I currently work as Data scientist and has more than 6 years experience in it.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Data Structures, Theory of Computations, Software Engineering, Microprocessors, Computer Systems Architecture, Calculus and Geometry, Statistical Methodology, Basic Statistics and Probability, Operational Research, Data Mining, Calculus and Matrices, Discrete Structures, Programming Fundamentals, Artificial Intelligence
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, communication skills, Foundation of mathematics & statistics, Problem solving methodologies & programming in C
BSc Economics subjects
Econometric Methods, Matrix Algebra, Microeconomics
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Statistics, BSc Mathematics, BSc Economics, BSc IT
BSc Statistics Subjects
Real Analysis, Probability and Statistical Methods, Linear Models, Numerical Analysis, Stochastic Processes, Calculus, Technical Writing and Communication in English, Computer Programming in C, Econometrics, Survey Sampling, Statistical Inference, Applied Statistics, Operational Research, Design of Experiments, Bio-Statistics, Algebra
BSc Mathematics Subjects
Economics, Discrete Mathematics, Mathematical Finance, Analysis, Number Theory, Numerical Methods and Programming, Algebra, Differential Equations and Mathematical Modelling, Probability and Statistics
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Data Structures and Algorithms, Simulation and Modelling, Programming in C#, Artificial Intelligence, Linux Programming, Machine Intelligence, Big Data Analytics, Machine Learning
BTech Branch
Telecom Engineering, BTech 1st Year Engineering, BTech Information Science Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Business Intelligence, Cloud Computing, Computer Networks, Mobile Computing, Software Defined Networking, Big Data Analytics, Software Architecture, Machine Learning, Data Structures and Algorithms, Social Network Analytics, Neural Network and Fuzzy Logic, Data Warehousing and Data Mining, Embedded Systems, Artificial Intelligence, Pattern Recognition, Software Engineering, Web Intelligence, Computer Vision, Semantic Web, Design & Analysis of Algorithms, Principles of Data Communication
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Communication Skills, Computer science, Advanced Mathematics (M2), Engineering Mathematics (M1)
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