Rishabh Kumar Statistics & Applied Statistics
No reviews yet

I, Rishabh Kumar (Alumnus of IIT Guwahati & ISI), a full time freelancer, online tutor/ trainer in the field of Statistics, Applied Statistics, Time Series Analysis, Mathematics, Operation Management, Data Science & Machine learning having expertise in teaching as well as in assignment or live help of more than 6 years. I have demonstrated successfully placing students to achieve theirs goals across the globe whether it's King's College London in UK, University of Waterloo in CA, New York University in US or a university in Australia, mainly I teach to abroad students enhance your learning to make big impact in your field and place yourself in good job. I have studied Bachelor of Technology in Civil Engineering from IIT Guwahati along with Bachelor of Science degree in Statistics, where my true interest lies and a Master of Science in Applied Statistics from the Indian Statistical Institute (ISI). PG Diploma in Applied Statistics with a specialization in Data Science at ISI (Master's Data Science, Coursera online) scored AIR 2 in PGDAS to secure tuition free admission.

In-depth sound knowledge in the Statistics field.

I am expertise & trainer in the following topics/subject:
1. Statistics (All areas viz., Descriptive & Inferential Statistics)
2. Operation Research
3. Risk Management
4. Probability
5. Statistical software (R, SAS, SPSS, Excel, Minitab, Python)
6. Mathematics at Graduate level
7. JEE Advanced Mathematics (IIT-JEE level)
8. JEE Mains Mathematics
9. Design of Experiment
10. Data Analysis
11. Machine Learning
12. Data Visualization (PowerBI, Tableau)
13. Quality Control
14. Project Management
15. Reliability
16. Six-sigma for business excellence
17. Time Series Analysis
18. Statistical Machine learning
19. Clinical Trials
20. Quant Researcher (In learning phase)

With over 6 years of teaching experience, I specialize in helping students excel in Statistics, Operation Research and related subjects at the postgraduate level. My teaching philosophy focuses on building robust conceptual understanding by connecting new concepts to students' existing knowledge. This method not only makes learning more effective but also ensures that the knowledge is retained for a longer period.

Teaching Approach
I believe in minimal yet comprehensive teaching, encouraging students to explore and understand topics independently. My students often find my classes increasingly enjoyable and beneficial as they progress. Many initially feel that topics are covered quickly, but they soon realize that this approach helps them retain and understand the material more deeply.

Achievements
Scored higher in JEE Advanced than JEE Mains, demonstrating a strong grasp of conceptual knowledge over rote learning.
Secured AIR 2 in PGDAS ISI Admission Test 2024.

Helped numerous students to achieve very good marks in their exams, taught/helped to students top institute, worldwide.

Subjects Offered
Statistics (up to PG level)
Mathematics at UG level.
Data Science at PG level.
Machine learning
Mathematics for IIT-JEE (JEE Advanced level)
Physics, Chemistry, Mathematics (PCM) (JEE, NEET)
Entrance Exam Preparation (JEE, ISI, KVPY, NEST, NEET)

Free Online Demo Classes
I offer free demo classes for various entrance exams and Statistics at the PG level. Join me to experience a unique and effective learning approach that focuses on understanding and applying concepts.

Subjects

  • Statistics Beginner-Expert

  • R Statistics Beginner-Intermediate

  • Statistics for competitive exam like ISS, MBA

  • Minitab Beginner-Intermediate

  • Data analysis Beginner-Intermediate

  • Statistics and Probability Beginner-Expert

  • Statistical Analysis Beginner-Expert

  • IIT JEE Mathematics

  • Multivariate Analysis Beginner-Intermediate

  • Operation Research, Decision Analysis and Decision Making Beginner-Expert

  • Operation Management Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • Data analysis and visualization Beginner-Expert

  • Statistics 1 Beginner-Expert

  • Deep learning with Python programming Beginner-Expert

  • Design and Analysis of Statistical Experiments and Advanced Survey Sampling Beginner-Expert

  • Maths (JEE Mains & Advanced)

  • R Studio Beginner-Intermediate

  • Basic Inferential Statistics Beginner-Expert

  • Data Analysis with R and Python Beginner-Expert

Experience

  • Director & Main Faculty (May, 2019–Present) at R K Tutorials [IITG ISI], Bangalore
    R K Tutorials [IITG & ISI] is a coaching institute initially focused on preparing students for IIT-JEE and NEET. They have since expanded our offerings to include online classes in advanced statistics, mathematics, computer science, data science, and machine learning. The institute provides instant online classes to meet the diverse needs of the students.

    Thanks & Regards,
    Rishabh Kumar (Alumnus of IIT Guwahati & ISI)

Education

  • PG Diploma in Applied Statistics (Master Data Science) (Jul, 2024–now) from Indian Statistical Institute, Kolkata
  • Master of Science(M.S.) in Applied Statistics (Jul, 2022–Jun, 2024) from INDIAN STATISTICAL INSTITUTE, Bangalore
  • Bachelor of Science in Statistics (Jul, 2019–Jun, 2022) from UP rajarshi tandon open university, Prayagraj
  • Bachelor of Technology (Jun, 2015–May, 2019) from INDIAN INSTITUTE OF TECHNOLOGY (IIT) GUWAHATI
  • Higher Secondary (Jun, 2012–May, 2014) from Central Hindu School, Kamachha, Varanasi–scored 93.33% PCM
  • Secondary (Jul, 2010–Jun, 2012) from Swami Harsewanand Public School, Grahwaghat, Ramana, Varanasi–scored 9.8 CGPA

Fee details

    ₹1,500–10,000/hour (US$17.69–117.91/hour)

    Fee will depend on the number of Students, Subject, Topic, Knowledge level of students etc.

Courses offered

  • Statistics, Data Science, Mathematics and Computer Science

    • US$300
    • Duration: 10 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Any specialized topic from above.

Reviews

No reviews yet. Be the first one to review this tutor.