Name: Adam Ingwersen, Born: 1992, Nationality: Danish
I am currently employed, part-time, as an assistant data scientist in a danish TelCo/Broadband-provider, focusing on (near) real-time predictive big data analytics, working on my own projects such as sentiment analysis, online data collection, reccomendation engine construction - working interchangeably with tools such as HIVE/Hadoop (implemented by TeraData), R, Python, SQL and SAS. I rely primarily on R & Python whenever possible for data manipulation, visualization and varying analysis pkgs/libs. Knowing SAS and SQL is fairly handy for handling database interactions.
For the past 1,5 years, I've been employed as a student assistant in Denmarks largest bank as a data controller - primarily using SAS, SQL & VBA.
An outdated resumé, written in danish
Beginning my second BSc.-degree in Computer Science @ KU/UCPH Summer 2016.
Focusing mainly on econometrics and quantitative analytics within the field of Economics, the main interest here have been programming with statistical software tools and time-series analysis. I completed the following elective courses: Applied Economics, Social Data Science, Advanced Statistics .
I wrote my BSc.-thesis in the spring of 2016 obtaining a B for my analysis: Cryptocurrency Economics: A Demand Side Cointegration Analysis of Bitcoin Price Formation