"A multidisciplinary approach to gaining insights from an increasing amount of data."
Atleast that's how IBM defines it.
Key disciplines include Mathematics, Statistics, Computer Science, and Scientific Computing. This consolidation of many fields allows academic and industrial circles to bolster quantitative analysis methods by applying a wide range of techniques.
A focus of this portfolio is bringing Data Science to life. Papers and articles are crucial.
However, the benefits of data science can often be very abstract when hidden in large research papers and jupyter notebooks. The point of obtaining an insight is to do something with it.
I build applications that streamline the data science process or execute a data science insight.
SQL
Python
Pandas
R
Excel
Power BI
Tableau
NextJS
React
Typescript
PostgreSQL
C++