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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)
- 2 years experience
Data analysis and statistical modeling for semiconductor wafer data
- 1 year experience
Basic familiarity with SQL for database querying and extraction of data for statistical modeling
- 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
Why you should start using .npy file more often…
Data science needs fast computation and transformation of data. Native NumPy objects in Python provides that advantage over regular programming objects. It works for as simple a task as reading numeric data set from a file on the disk. We demonstrate it in few easy lines of code.
Two cool features of Python NumPy: Mutating by slicing and Broadcasting
NumPy is pure gold. It is fast, easy to learn, feature-rich, and therefore at the core of almost all popular scientific packages in the Python universe (including SciPy and Pandas, two most widely used packages for data science and statistical modeling). In this article, let us discuss briefly about two interesting features of NumPy viz. mutation by slicing and broadcasting.
Introducing pydbgen: A random dataframe/database table generator
Introducing pydbgen which is a lightweight, pure-python library to generate random useful entries (e.g. name, address, credit card number, date, time, company name, job title, license plate number, etc.) and save them in either Pandas dataframe object, or as a SQLite table in a database file, or in a MS Excel file.