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(Aggiornato% updatedDate%)Data Scientist / ML Engineer
Stockholm, Sverige
Nativo Svenska, Fluente English
- Python
- Data Science
- Machine learning
Competenze (19)
NEURAL NETWORKS
SciKit Learn
INVOICES
OCR
PANDAS
Algorithm
Python
SOFTWARE ENGINEER
Deep Learning
KERAS
NLP
Pytorch
COMPUTER VISION
LEGAL DOCUMENT
SQL
TENSORFLOW
Docker
C++
CI/CD
Riassunto
Freelancing Data Scientist & ML Engineer with a passion for data and machine learning. I am a driven and curious person that loves to solve difficult problems.
Esperienze professionali
2019-01 - 2019-09
Technical lead of machine learning ensuring that we provided top quality solutions for our customers using machine learning. In this role I planned and lead our technical competence within the machine learning area. I was also responsible for deliveries of machine learning projects. I also helped Zimply Innovation with sales strategy and project planning within machine learning.
2019-08 - 2020-12
Worked on four projects involving document interpretation using machine learning. We built an invoice interpreter for a large Swedish scanning company. I lead a team of engineers and I was responsible for the technical delivery of the project. I worked on a legal document interpreter for a credit company in eastern Europe which interpreted Russian legal documents. The third project involved working on an application that read energy consumption from invoices. The fourth project involved building an account coding application based of information found on invoices. I have mainly been responsible for the machine learning parts of the projects.
Keywords: python, pandas, scikit-learn, pytorch, tensorflow, bayesian networks, docker, FastAPI, flask, google vision, entity recognition.
2018-01 - 2019-01
to find payment information on invoices. I worked together with a PhD in applied
robotics. We built the first version of the application in python. I was responsible for the whole application.
Worked on a mobile version of the invoice scanning application in order to run the
application on mobile phones together with eight other developers. Me and another
software engineer implemented the same data processing steps from the python code
in c++. I was responsible for training machine learning models using tensorflow and then convert them to tensorflow lite so that we could use them on mobile phones.
Worked on a personal financial management application where I analyzed bank trans-
action data in order to give financial recommendations and insights. I built a spending
prediction algorithm and used it to calculate how much money a user could spend
and still have money left at the end of the month. I created user embeddings from the transaction categories and used the embeddings to compare users and find similar
users.
Keywords: python, pandas, scikit-learn, plotly, docker, flask, google cloud platform,
amazon web services, c++, tensorflow, tensorflow lite, T-SNE, clustering.
2017-01 - 2017-01
Worked on the PostNord project as an android developer. I was responsible for building the new bottom navigation menu. I also built a notification system which made it possible for the application to subscribe to certain topics and then use Firebase to publish notifications to those topics.
2016-01 - 2016-01
Developed an IoT device capable of measuring the filling degree inside recycling stations together with three engineering students as part of a summer internship at Attentec. I was responsible for building the device and configuring the link between the device and the cloud. I also participated in building a front-end web application capable of displaying all the data received from the IoT device.
2016-01 - 2016-01
Esperienze formative
2011-01 - 2018-01
2008-01 - 2011-01