Introducing Eetu Pursiainen, NLP virtuoso
Eetu is an experienced data scientist with a background in natural language processing and text analytics. He has worked on text analytics projects for several organizations across different sectors. Eetu joined Veracell as a senior data scientist and is currently working on advanced NLP projects for a growing market research company, Cambri.
I joined Veracell as a senior data scientist to work on natural language processing and text analytics for Cambri, a growing market research company. Since then, my role has expanded to include ML engineering and data engineering.
As an optimization-oriented person, I strive for simple and efficient solutions at work and in my free time, whether it's a coding project or planning a dinner. In my spare time, I enjoy playing badminton and going to the gym, as well as coding personal projects related to machine learning models.
My current career path was shaped by a series of coincidences. Originally studying engineering physics at Aalto University, I found myself more interested in working with research data than electronics and equipment. This led to a diploma thesis in text analytics for the hospital district of Helsinki and Uusimaa in 2016.
After my studies, I have worked at HUS, Futurice, CGI and in my own company Pursi AI. I have done a lot of NLP, but also all kinds of data-related work on a large scale. For example, in one project I developed a model for predicting the mortality of patients with traumatic brain injury, and this was also published: https://www.nature.com/articles/s41598-019-53889-6.
I became a consultant at the beginning of 2020 because I wanted to be able to expand my own expertise. I also wanted to learn how analytics are implemented and managed in different organizations.
My main development language is Python, but I have also used Scala and Java in the past. In addition to Python, the most common libraries I am using are pandas, sklearn, numpy, pytorch and transformers. The most familiar cloud platforms for me are Azure and AWS, both of which have several years of experience in data science and engineering tasks.
In data science, my special area of expertise is NLP and text analytics, which I have done for several organizations in many different sectors.
I heard about Veracell from Sergei Häyrynen, with whom I had previously worked in my previous projects. Sergei contacted me and asked if I would be interested in doing a small freelance gig in addition to my day job. The offered project sounded interesting, so I started working on it first part-time and eventually full-time.
In the future, I hope to be able to solve interesting problems, the solution of which has a clear measurable benefit for someone. I want to learn new things and be able to apply new technology in my work. I like coding and being able to implement solutions myself, but in the future I could imagine doing more work in lead or advisor roles as well.
Do you want to find out how to harness data to grow your business? If so, we would love to have a chat.
From NLP to AutoML – what we are working on
When we founded Veracell, we mostly worked on projects in the healthcare domain. Lately we’ve been active on many fronts. Here's a quick summary of what we are working on.
Healthcare domain veteran and master of integrations
Introducing Ville Karjalainen from Veracell's consultant network: entrepreneur, software developer and problem solver.
Life saving technology for the aging world
Detecting falls with acceleration sensors is actually very tricky. Combining ultra-wideband (UWB) and accelerometer data offers new possibilities for fall detection, and opens up a way for more sophisticated algorithms.
Development of an electronic frailty index (eFI) for Finnish healthcare
Veracell is partnering with Tampere University to work on a research project for gerontology. The objective is to use natural language processing to reveal relevant information from patient records to create a frailty index for targeting elderly care.