Avishek Panigrahi
Avishek Panigrahi is the founder and CEO of Logarithm Labs, A YCombinator backed company that helps companies accelerate data efforts.
Prior to Logarithm Labs, Avishek worked at Google on analytics and infrastructure as part of the TPU (Tensor Processing Unit) team. Before that, he worked at Xilinx, Samsung and MIPS on various aspects of hardware design and automation.
He enjoys skiing, camping and low frequency quantitative trading
Sessions
Many data science initiatives fail because of the unavailability of good data.
In this talk, I go over examples of bad data I’ve encountered in real life projects. I present hypotheses about the reasons that lead to bad data; tools, techniques and patterns to “debug and correct” bad data; simple workflows for validation, verification and automation to identify bad data using commonly available tools from the PyData and Python ecosystem. Finally, I’ll go over some prescriptive techniques for how you can approach data projects with non-ideal-data to improve odds of success.