Having taught extensively for five years during my PhD (Rutgers University, NJ, USA), having tutored numerous students privately, I'm very experienced in showing a student what (s)he needs to learn, and how to learn them. I focus on examples to learn a new concept, and also emphasis on charts and diagrams to get the gist is another of my speciality.
I can teach from elementary level to undergraduate and some selected graduate level courses as well. I can surely help you with your homework, providing detailed solutions or outlibing the solutions so you can complete them yourself. I'm also a spesialist in giving step-by-step hints when it comes to solving complex problems.
I'm also an expert in typing in LaTeX so you can read the mathematical symbols easily, wherever applicable.
Huawei Technologies France
January 2020 - now, Senior research scientist
Research in high dimensional statistics and machine learning, specifically high dimensional nearest neighborhood search problems, using concentration of measure and random matrices. Three research preprints.
Data Scientist - 2019
Music and speech detection (coding in Python and TensorFlow): Developed a kernelized SVM classifier that can classify music and speech with 98% accuracy using the MFCC features of the audios, and used it to segment recorded call audios into music and speech. Also developed a long short term memory (LSTM) classifier that gave 95% accuracy on similar data.
Doctorate (Ph.D.) in Mathematics
September 2007 — September 2013, Rutgers University, New Brunswick, NJ, USA
Research in differential geometry and low dimensional topology with internationally
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, ordinary and partial differential equations, algebraic topology.
Cooking, martial arts.
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