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
Artificial Intelligence, R Programming, Python, Machine learning
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 Mining, Basic Statistics and Probability, Calculus and Geometry, Statistical Methodology, Programming Fundamentals, Data Structures, Microprocessors, Calculus and Matrices, Theory of Computations, Discrete Structures, Operational Research, Computer Systems Architecture, Artificial Intelligence, Software Engineering
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Foundation of mathematics & statistics, communication skills, Problem solving methodologies & programming in C
BSc Economics subjects
Microeconomics, Matrix Algebra, Econometric Methods
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Mathematics, BSc Economics, BSc IT, BSc Statistics
BSc Statistics Subjects
Linear Models, Real Analysis, Applied Statistics, Stochastic Processes, Bio-Statistics, Statistical Inference, Probability and Statistical Methods, Survey Sampling, Computer Programming in C, Econometrics, Design of Experiments, Numerical Analysis, Technical Writing and Communication in English, Calculus, Operational Research, Algebra
BSc Mathematics Subjects
Analysis, Discrete Mathematics, Mathematical Finance, Probability and Statistics, Differential Equations and Mathematical Modelling, Numerical Methods and Programming, Number Theory, Algebra, Economics
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
Linux Programming, Machine Intelligence, Simulation and Modelling, Programming in C#, Big Data Analytics, Artificial Intelligence, Data Structures and Algorithms, Machine Learning
BTech Branch
BTech Information Science Engineering, Telecom Engineering, BTech Computer Science Engineering, BTech 1st Year Engineering
BTech Information Science subjects
Business Intelligence, Software Engineering, Machine Learning, Web Intelligence, Principles of Data Communication, Cloud Computing, Pattern Recognition, Data Warehousing and Data Mining, Computer Networks, Neural Network and Fuzzy Logic, Big Data Analytics, Semantic Web, Computer Vision, Embedded Systems, Artificial Intelligence, Data Structures and Algorithms, Mobile Computing, Social Network Analytics, Design & Analysis of Algorithms, Software Architecture, Software Defined Networking
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science, Communication Skills
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
Artificial Intelligence, R Programming, Python, Machine learning
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 Mining, Basic Statistics and Probability, Calculus and Geometry, Statistical Methodology, Programming Fundamentals, Data Structures, Microprocessors, Calculus and Matrices, Theory of Computations, Discrete Structures, Operational Research, Computer Systems Architecture, Artificial Intelligence, Software Engineering
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Foundation of mathematics & statistics, communication skills, Problem solving methodologies & programming in C
BSc Economics subjects
Microeconomics, Matrix Algebra, Econometric Methods
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Mathematics, BSc Economics, BSc IT, BSc Statistics
BSc Statistics Subjects
Linear Models, Real Analysis, Applied Statistics, Stochastic Processes, Bio-Statistics, Statistical Inference, Probability and Statistical Methods, Survey Sampling, Computer Programming in C, Econometrics, Design of Experiments, Numerical Analysis, Technical Writing and Communication in English, Calculus, Operational Research, Algebra
BSc Mathematics Subjects
Analysis, Discrete Mathematics, Mathematical Finance, Probability and Statistics, Differential Equations and Mathematical Modelling, Numerical Methods and Programming, Number Theory, Algebra, Economics
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
Linux Programming, Machine Intelligence, Simulation and Modelling, Programming in C#, Big Data Analytics, Artificial Intelligence, Data Structures and Algorithms, Machine Learning
BTech Branch
BTech Information Science Engineering, Telecom Engineering, BTech Computer Science Engineering, BTech 1st Year Engineering
BTech Information Science subjects
Business Intelligence, Software Engineering, Machine Learning, Web Intelligence, Principles of Data Communication, Cloud Computing, Pattern Recognition, Data Warehousing and Data Mining, Computer Networks, Neural Network and Fuzzy Logic, Big Data Analytics, Semantic Web, Computer Vision, Embedded Systems, Artificial Intelligence, Data Structures and Algorithms, Mobile Computing, Social Network Analytics, Design & Analysis of Algorithms, Software Architecture, Software Defined Networking
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science, Communication Skills
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