1. *Level of familiarity with python* - 2.5 years, previous projects - a. chest XRay analysis using deep learning (modules used - Pytorch, sklearn), b. Extracting features from real time call center data (modules used - htk, numpy, sklearn, keras), c. despeckiling of OCT images 2. *Mathematical education level* - Senior undergraduate pursuing Electronics and Communication Engineering, subjects undertaken - Linear Algebra, numerical analysis, Dynamical Systems and fractals, Matrix theory and probability, Imformation theory and applications, cryptographs, signals and systems 3. *Particular expertise* - Digital Signal Processing, Deep Learning and Image Computer Vision 4. *Particular algorithmic interests* - mostly signal processing and algebraic algorithms 5. *level of familiarity with symbolic math systems "computer algebra" *- Medium, because of courses undertaken (Numerical analysis, data structure and algos) 6. *familiarity with SymPy* - beginner, have used it before but not extensively Hey guys, I am looking forward to contributing to SymPy I have contributes to GNU Radio, stan before but I am fairly new to SymPy, any advices or help would be really appreciated.
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