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Indian Institute of Technology, Madras, India (Mech. Engineering)
Univ. of California, Berkeley (Master's)
Stanford University (ABD) (PhD)
At the age of 15, after becoming a National Science Talent Scholar, I was accepted as a freshman at I.I.T. Madras from which I graduated in the Top 2%. I won a Research Assistantship to work at Lawrence Berkeley National Labs as part of my M.S. research at Univ. of California, Berkeley. I transferred to Stanford University for my Ph.D. in Mechanical Engineering working in Computational Fluid Dynamics.
At Stanford, I was a Teaching Assistant for the Applied & Engineering Mathematics year-long M.E. 200A, B, C sequence taken by most Masters' students. Prof. Ferziger (after giving me a precious 1 day notice!) took a religious holiday on Rosh Hashanah, and I gave my first lecture at the Terman Auditorium to over 200 students on campus and over a dozen Silicon Valley engineers on Stanford Instructional Television Network - that was awesome! I checked the videotape later at the Engineering Library and noticed that I had to slow down a bit while speaking. I have a Tau Beta Pi survey by a student with glowing comments ("Ramesh will be a great teacher one day") that Chairman Reynolds circled and gave to me - this is one of my most cherished documents!
I worked as a Research Staff Member at the National Center for Supercomputing Applications, UIUC where (terms like "Internet Cloud", "Collaboratory" were coined), as part of Outreach programs, we taught efficient Supercomputing techniques to many universities in the Mid-West! I then worked at Exxon Corporate Research Labs doing basic engineering research (using applied math, physics/mechanical engineering, software tools) closely with groups from M.I.T., Princeton and Univ. of Wisconsin, Madison. Subsequently, I moved over to Financial Services and Wall Street. Thus my work experience includes R&D groups in academia/ industry, Risk Management and Data Analysis for market-makers by developing and implementing models using modern software languages, paradigms and platforms (Python, distributed computing).
In my career, there has often been a teaching/training/communicating component. My teaching style is tailored to my assessment of the preparation, aptitude, the TIME constraint of the student (I teach students how to postpone/eliminate the use of calculations, calculators and SAVE precious time during tests) and above all the student's objective [ desire to learn vs getting through the HW's, quizzes ]- my style of teaching early in the second marking period to pull the grades up for the year is different from teaching a couple of days before the mid-term or the AP exams. I try to have a High-Five moment with my students in every session!
I help with our family's desire to cook gourmet food which tends to be primarily plant-based. I was an avid tennis player when my knee was doing better! At the age of 15, after becoming a National Science Talent Scholar, I was accepted as a freshman at I.I.T. Madras from which I graduated in the Top 2%. I won a Research Assistantship to work at Lawrence Berkeley National Labs as part of my M.S. research at Univ. of California, Berkeley. I
The first session is usually 2 hours long for a fair assessment.
Ramesh is as brilliant and well-educated a math tutor as you are likely to find, but these attributes alone are not what make him such a good tutor. His ability to present complex concepts clearly and concisely, and his knack for finding gaps in our student's knowledge are what have made him so effective. His emphasis on a student's responsibility to be fully prepared for each tutoring session has also contributed to our student's success. We feel lucky that we found Ramesh through WyzAnt.
Ramesh is very knowledgeable. He can look at any AP physics problem and solve it. He has been a wonderful asset.
Ramesh began tutoring me only about six weeks before the Physics AP exam. At that time I was able to plug-in about half of what I needed to know but did not really understand much of the material. Ramesh would always ask if I understood and made sure of this by having me explain the problem to him. This caused me to actually grasp the material and in turn I got a four on the AP exam. I was very pleased with this score and I am sure I would not have achieved that without the help of Ramesh.
Ramesh was an excellent tutor for our son who was encountering difficulty with Physics. He has a very solid knowledge of the material and is able to explain it in a way that the person being taught develops a much better understanding of the subject matter. He is very patient and goes above and beyond what is required in order to help. He is highly recommended by us as a Physics tutor that can make a difference in this area.
Ramesh works well with James, all the questions were answered and understood.
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Graduating in the top 2% of my class at IIT Madras in Engineering, I was a straight A student in all Math. courses including differential equations. I went onto take AND teach Applied Math. courses at Berkeley and Stanford. The ME 200B syllabus at Stanford included the three main methods of solving problems that could be cast as (Partial) Differential Equations - Self-similar methods, Separation of Variables, Method of Characteristics.
The basis for solving PDE's is of course knowing how to deal efficiently with O(rdinary) Differential Equations.
Discrete Math is concerned with the following topics - sets, relations, functions, induction and other methods of proof; recursion, combinatorics, graph theory, and algorithms. These are topics covered in most high school and lower level University courses. As a Doctoral student at Stanford teaching Masters' students, these are areas well covered in my graduate learning and teaching career.
I hold a B. Tech. in Mechanical Engineering -IIT Madras, India - and was 2nd in graduating class. I also hold an M.S. in Mechanical Engineering from UC Berkeley, and a Ph.D. (ABD) Mechanical Engineering from Stanford University.