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Semiconductor professional, data science and machine learning zealot
Data science, machine learning practitioner using Python, R, MATLAB. Semicondcutor design engineer by profession. Ph.D. in Electrical Engineer from Univ. of Illinois. Lives and works in SF Bay area.
Pacific Time (US & Canada) (-08:00)
- 1 year experience
Basic familiarity with SQL for database querying and extraction of data for statistical modeling
- 2 years experience
Data analysis and statistical modeling for semiconductor wafer data
- 3 years experience
Experience with MATLAB scripting, linear algebra and control system toolboxes and Simulink. Used them for power electronics control design and general mathematical analysis for electronic switching systems.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
IPython widgets, interactive plots, interactive machine learning
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POSTS BY TIRTHAJYOTI
Data science with Python: Turn your conditional loops to Numpy vectors
Vectorization trick is fairly well-known to data scientists and is used routinely in coding, to speed up the overall data transformation, where simple mathematical transformations are performed over an iterable object e.g. a list. What is less appreciated is that it even pays to vectorize non-trivial code blocks such as conditional loops.