Category Archives: Data Approach
Work Philosophy & Portfolio Highlights
I am acclimated and confident with “solving mysteries without any clues”, which at the core is what data science (analysis, engineering, architecture) actually is. There is no such thing as the perfect data set, if it is extracted from the real-world its messy, incomplete, and clumsy. In scientific research & healthcare, one needs to be comfortable with assessing, challenging assumptions & drawing conclusions with incomplete, imperfect data – esp in science and health care as the recommendations do truly matter.
Timeline Overview – Selected Projects & Technical Skills
What makes Great Data Scientists/Engineers?
Knowing about the latest and greatest data science tools, packages and libraries is a prerequisite to being a great data scientist or data engineer – but that’s not all. Technical Skills (tools, packages, library) are a prerequisite, but not the MOST critical As the market for experienced Data Scientists or Data Engineers continues to heat…