I'm an in-person and online tutor in mathematics, applied mathematics, statistics, machine learning and English. I'm a SPECIALIST online tutor - I make it exactly like an in-person experience, so nobody needs to travel to meet! I received my PhD in mathematics in the US (Rutgers University, New Brunswick, NJ), and held my postdoctoral positions in reputed institutions in France (Ecole Polytechnique, INRIA) and USA (University of California, Los Angeles). I've extensive teaching and tutoring experience in many areas of mathematics, e.g. trigonometry, precalculus, algebra, differential equations as well as many other topics. I also had great scores in GRE and other competitive exams en route to my PhD.
I love to share my passion for mathematics, statistics and machine learning with my students, by means of tutoring, seminars, talks etc. Being an expert in the subject, I can teach/tutor any level - this means from precalculus, calculus, trigonometry to linear algebra, group theory, differential equations and many more! Besides mathematics, I also teach English as a second language (ESL).
My Specialities include:
1. My familiarity with all level of mathematics, thanks to my doctorate in the subject.
2. My teaching experience in large (roughly 30-40 students per class) and small (one to two students) group settings.
3. My effective visualization process with charts, diagrams, and tables to make things easy for the students.
4. In case the student speaks French but not good in English, I can also tutor in French, where I've an intermediate level.
5. I'm well equipped for tutoring online, as I've done it before and effectively. I've a graphics tablet where I can write and the writings appear on the screen, which can be shared with students.
6. I'm a specialist in motivating the students to learn a new concept, for example, negative numbers, group theory or functional analysis. I've worked in industry for 2 years, so I've seen a lot of these concepts being used in real life, so I can help motivate on why (s)he is learning a new concept.
Please note: the rate mentioned here only reflects the rate for beginner to intermediate level course; if you're looking for an advanced course, it'll be higher. If you're taking a group course, it can be lower.
Susovan fait partie des meilleurs professeurs. Qualité du profil, excellence du diplôme, organisation rapide du premier cours, ses élèves l’adorent !
I'm a PhD in Mathematics, and currently work in artificial intelligence. Feel free to ask for my credentials, or see my profiles on LinkedIn or ResearchGate. I also have undergraduate in both mathematics and statistics, and I've published in both mathematics and artificial inteligence-my papers are on ResearchGate.
The payment can be paid just in the beginning of the lesson, either in cash or by bank transfer, in the second case, I'll give you my bank detail.
One more thing: I'll give the courses in English only or mixing English and French, even though I can speak French at an intermediate level.
Connect Things, France July 2018 — September 2018
Machine learning researcher
Ecole Polytechnique, France November 2016 — December 2017
Research scientist in mathematical computer vision
University of California at Los Angeles, USA
February 2016 — November 2016
Research scientist in medical image processing
INRIA, Paris, France October 2014 — October 2015
Research scientist in medical image processing
Doctor of Philosophy (Ph.D.) in Mathematics
September 2007 — September 2013
Rutgers University, New Brunswick, NJ, USA
Research in differential geometry and low dimensional topology with internationally published papers.
Master of Science in Applied Mathematics
June 2005 — June 2007
Tata Institute of Fundamental Research, Bangalore, India
Courses in linear algebra, statistics, advanced probability, differential geometry, numerical analysis, differential equations, algebraic topology.
1. Classification of fetal alcohol syndrome patients (coding in
MATLAB): Performed linear discriminant analysis (LDA) on 175 precentral and central sulcal curves, with a 120-dimensional feature space consisting of Fourier coefficients of the curves. Estimated the performance of this classifier by a 10-fold cross validation to obtain classification accuracy of 76%.
⦁ Image classification by their projections and shape difference matrices (coding in MATLAB and Python): We apply support vector machines (SVM) and linear discriminant analysis (LDA) to the HOG-features of 2D projections from 4 different camera angles of 3D images of human and non-human data, and initially obtained 98% test accuracy. Since number of HOG features (1764) here exceeded the number of samples (1524), we perform regularized LDA to select best 588 features, and still obtain 95% test accuracy. The end goal of the project is to see how adding information from shape difference matrices effect the accuracy.
⦁ Development of a new mixed effect longitudinal model for Alzheimer's disease
modeling (coding in MATLAB): Developed a new mixed effect longitudinal model on shape spaces relevant to medical imaging and computer vision, using the geometric concept of parallel transport, that compares time series trajectories with different onsets. I developed and implemented an algorithm to estimate parallel transport with error rate O(1/number of steps), showed the error rate is the best achievable, and also has a smaller error compared to Schild's ladder algorithm, previously used to compute parallel transport.
⦁ Clustering of retail product sizes (coding in Python and OpenCV): Using the heights and widths obtained from the bounding box co-ordinates of the products from the detection models, I used the feature vector (height, width, square root of size) of the image bounding box co-ordinates to cluster product sizes themselves, with bigger sizes getting higher cluster numbers, using both KMeans and MeanShift algorithms. With no information on camera distances, achieved a clustering accuracy of around 75%. The next step is to train a suitable classification algorithm based on this clustering, and test it for predicting sizes.
⦁ Determining popular places from GPS and other geolocation related data (coding in Python): I constructed a suitable cost function which is an indicator of how popular a co-ordinate of earth's surface is, in the sense that it measures how many trajectories pass at or near that co-ordinate or through the corresponding geohash. By minimizing this cost function, which is further a function of distance to trajectories, I was able to estimate the popularity of a place.
MACHINE LEARNING AND MATHEMATICS PAPERS:
⦁ Construction of a closed hyperbolic surface of arbitrarily small eigenvalue of prescribed serial number. Contemporary Mathematics, 2011.
⦁ (With Jun Hu) Boundary differentiability of Douady-Earle extensions of diffeomorphisms of S^n. Pure and Applied Mathematics Quarterly, 2013.
⦁ (With Jun Hu) Douady-Earle extensions of Holder continuous and Lipschitz continuous circle homeomorphisms. Preprint.
⦁ (With Stanley Durrleman et. al.) A Fanning Scheme for Parallel Transport along Geodesics on Riemannian manifolds. Siam Journal of Numerical Analysis, 2018.
⦁ (With Praneeth Vepakomma) Optimal bandwidth estimation for dimensional reduction to detect topological circularity in high dimensional data. Submitted.
⦁ (With Shantanu Joshi et. al.) Linear and Quadratic Discriminant Analysis on the tangent space of curve-valued data. Differential Geometry in Computer Vision and Machine Learning, 2017. Best paper award.
MACHINE LEARNING SKILLS:
SVM, decision trees, discriminant analysis, linear and logistic regressions, PCA, regularization, cross validation, Markov and hidden Markov models, clustering. Theoretical familiarity with feedforward neural networks (fully connected, convolutional, backpropagation), stochastic gradient descent.
Matlab (~2 years), Python: NumPy, sk-learn, Pandas, OpenCV (4 months), Some familiarity with Linux, LaTeX.
English (bilingual), French (intermediate), Bengali (native), Hindi (intermediate).
Available upon request, but you can also see the ones on LinkedIn.
Parfait ! Parfait prof se soucie du bien-être de ses élèves et est a l'écoute. Je le recommande vivement
Tout est parfait!
Parfait ! Susovan a été très à l’écoute lors de notre cours. Il a su parfaitement me conseiller et m’a donner de nombreux conseils notamment des memos-techniques afin que j’assimile et que je comprenne la logique mathématique. Je suis très satisfaite et je vous le recommande pour tout ce qui est mathématiques !
Tout est bon :)
Parfait ! Susovan est très à l'écoute. Il tient à comprendre les besoins de son élève afin de pouvoir lui apporter toutes les notions requises afin de réussir!
Tout est bien passe!
Parfait ! A l'écoute, Susovan a su comprendre mes objectifs et créer un plan pour les atteindre. Hâte de continuer avec lui pour progresser.
Tout s'est bien passe!
Is a perfect teacher for my 12 grader who is studying high level mathematics in IB program. He adjusted to the needs my son had for his Calculus unit and identified the knowledge he needs to consolidate. Highly recommended.
I highly recommend the professor. he is available and he helped me take an exam
Susovan is an excellent teacher very proactive in teaching english, i recommend him.
I contacted him becuase I was at a loss in my course, but only after a few days it went great!
Everything is starting to make sense and he is definently helping facilitate my homework. He is so patient and knows how to explain all the concepts.
J'ai eu quelques leçons avec Susovan pour mon cours de calcul. J'ai eu au départ certaines difficultés à comprendre le concept de limite et d'intégrales définies, je rappelle que Susovan a pris plus de temps pour m'expliquer ces concepts, à l'aide de nombreux schémas et figures. Il est passionné et patient dans ce qu'il fait, et ne presse pas l'étudiant (moi) de comprendre quelque chose de nouveau. Je suis très heureux de le recommander ici sur SuperProf!
I had a couple of lessons with Susovan for my calculus course. I had initially certain difficulties in understanding the concept of limit and definite integrals, I recall that Susovan took extra time to explain these concepts to me, with the aids of lots of diagrams and figures. He's passionate and patient about what he does, and doesn't rush the student (me) to understand something new. I'm very glad to recommend him here on SuperProf!
Just had my first session with Susovan last night, definitely helped me and explained everything in a clear and concise manner while also being very patient with me. I would definitely recommend his tutoring. - Finn
des cours de maths à proximité ? Voici une sélection d'annonces de professeurs pouvant vous accompagner. Superprof peut aussi vous proposer des cours d'algèbre pour vous aider. Apprendre n'est plus un soucis, des cours de géométrie accessible(s) pour tous ! Suivre des cours de trigonométrie n'a jamais été aussi facile : vous allez aimer développer de nouvelles connaissances.
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