Shubhra Das
Senior Mathematics & Computer Science Educator | M.Tech (CS) | UIUC (Data Science) | Ex-IBM | 30+ Years Teaching & Industry Experience
Qualification: MCS (Data Science), University of Illinois Urbana-Champaign, USA M.Tech in Computer Science, University of Calcutta B.Tech in Computer Science, University of Calcutta B.Sc. (Hons.) in Mathematics, University of Calcutta Experience: 30+ Years • Senior Faculty – The Princeton Review (GMAT/GRE/SAT Mathematics) • Mathematics & Computer Science Tutor • Senior Data Science & BI Course Architect • Vice President – Quality Assurance, Acclaris Business Solutions • Senior Project Manager, IBM • Oracle Corporation, USA • Aspect Communications, USA Years
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Teaching Information
Teaching Categories:
school_tuition | competitive_exams | skill_development
school_tuition | competitive_exams | skill_development
School Board:
cbse | icse | state_board
cbse | icse | state_board
School Tuition Subjects:
mathematics | computer_science
mathematics | computer_science
Skill Development:
coding_for_kids
coding_for_kids
Competitive Exams:
jee_main | bitsat | ssc
jee_main | bitsat | ssc
Teaching Languages:
english | hindi | bengali
english | hindi | bengali
Preferred Time:
morning | evening
morning | evening
Class Platform:
zoom | google_meet
Class Type:
individual_class | group_class
Age Group:
teens_(13-17) | adults_(18+)
Minimum Hours:
8
Pricing
Individual Classes
Hourly Fee: ₹₹500/hour (School Mathematics) ₹800/hour (Computer Science) ₹1,500/hour (Programming/Data Science)
Monthly Fee: ₹For 8 classes (2 classes/week): ₹3500 per month (School Maths) For Computer Science coaching: ₹6000 per month. For Data Science ₹10,000/month
Group Classes
Hourly Fee: ₹For Mathematics ₹2,000 per hour (up to 5 students); Rs 3500/hr ( up to 5 students); Data Science Rs 5000/hr( for 5 students)
Monthly Fee: ₹For Mathematics ₹12000 (up to 5 students); For CS Rs 14000 ( up to 5 students); Data Science Rs 35000( for 5 students)
About Teacher
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Trial Class
One FREE 30-minute trial session to understand the student's current level, learning goals, and areas for improvement. A personalized learning plan and study strategy will be discussed during the trial class.