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Senior Data Scientist with speciality in Recommender Systems
Kim Falk
,
Hellerup, Denmark
Experience
Other titles
Skills
I'm offering
Passionate data scientist with experience in machine learning specialized in Recommender systems. Worked on recommenders for customers like BT and Manning Publishing. Added user segmentation in Sitecore CMS and worked on Danish NLP Models for named entity extraction as well as Deep Learning classifier to predict verdicts of legal cases. Experience in leading small teams. Keen on research and keeping up to date, with a focus on results.
Author of Practical Recommender Systems.
Author of Practical Recommender Systems.
Markets
Denmark
Links for more
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Industries
Language
Danish
Fluently
English
Fluently
Italian
Fluently
Swedish
Good
Available
My experience
2019 - ?
freelance
Senior Data Scientist
IKEA.
Started and built a small team of data scientists. We are working on a solution which will personalize promotional messages for Ikea family customers. I am responsible for developing the brain of the system, implemented using a deep reinforcement learning agent. (The project was accepted at O'Reilly AI conference London 2020, but the conference was cancelled).
Key tasks:
• Implementation of Deep Reinforcement Learning agent (DQN/REINFORCE/PPO) using TensorFlow
• Implementing an embedding framework for products and users (TensorFlow, AirFlow)
• Implemented a click predictor in PySpark (XGboost)
• Managing and mentoring younger data scientists
Key tasks:
• Implementation of Deep Reinforcement Learning agent (DQN/REINFORCE/PPO) using TensorFlow
• Implementing an embedding framework for products and users (TensorFlow, AirFlow)
• Implemented a click predictor in PySpark (XGboost)
• Managing and mentoring younger data scientists
Mentoring, Tensorflow, Implementation, Ai, Pyspark, Framework, Agent
2018 - 2019
job
Lead/Senior Data Scientist
LiveIntent.
Worked in a small team of data scientist on big data sets. Focused on Machine learning and Data
analysis with Spark and Scalding running in AWS clusters. Used Python, Scala, Spark/Scalding and AWS. I was in charge of the retargeting part, focusing on predicting user intent and calculating
recommendations. Worked closely with LiveIntents Berlin office.
Key accomplishments:
• Built a Recommender system using Scala/Spark
• Prototype Deep Learning recommender RNN using PyTorch on SageMaker
• Data analysis of collected data, using Spark/Scalding
• Managed and mentored younger data scientists
analysis with Spark and Scalding running in AWS clusters. Used Python, Scala, Spark/Scalding and AWS. I was in charge of the retargeting part, focusing on predicting user intent and calculating
recommendations. Worked closely with LiveIntents Berlin office.
Key accomplishments:
• Built a Recommender system using Scala/Spark
• Prototype Deep Learning recommender RNN using PyTorch on SageMaker
• Data analysis of collected data, using Spark/Scalding
• Managed and mentored younger data scientists
Python, Data Analysis, Machine learning, AWS, Big Data, Deep learning, Scala, Spark, Google retargeting, Office
2017 - 2018
job
Lead Data Scientist
Karnov.
Added intelligence to the Karnov content platform which provides legal workers access to 150 years of Danish legal content. Our tasks were to optimize both the import pipeline but most importantly
make the product more intelligent and personalized. We worked with Python, SQL, Keras, TensorFlow,
SpaCy.
Key accomplishments:
• Danish Language Model using SpaCy framework (NLP)
• Named Entity Recognition (NER)
• Legal content recommender based on Word2Vec similarity
• Built classifier using Keras RNN neural network to classify verdict of historical cases
make the product more intelligent and personalized. We worked with Python, SQL, Keras, TensorFlow,
SpaCy.
Key accomplishments:
• Danish Language Model using SpaCy framework (NLP)
• Named Entity Recognition (NER)
• Legal content recommender based on Word2Vec similarity
• Built classifier using Keras RNN neural network to classify verdict of historical cases
Sql, Python, Tensorflow, Content, Network, NLP, Keras, Framework
2015 - 2018
job
Author
Practical.
Writing a technical book enhances one's knowledge of all the aspects of the subject as well as the writing and storytelling skills needed to communicate technical solutions.
Book: https://www.manning.com/falk
Code: https://github.com/practical-recommender-systems/moviegeek
Key accomplishments:
• Sold more than 4000 copies.
• Implemented all algorithms in the book from the ground up (Python)
Book: https://www.manning.com/falk
Code: https://github.com/practical-recommender-systems/moviegeek
Key accomplishments:
• Sold more than 4000 copies.
• Implemented all algorithms in the book from the ground up (Python)
Python, Writing, Storytelling, Github, Algorithms, UP
2012 - 2016
job
Technical Product Manager/Machine learning Engineer.
Sitecore.
Implemented machine-learning features in Sitecore, part of the new analytics solution to scale for big
customers (Sitecore 7.5), content testing (Sitecore 8). SCRUM team. Using C# (4.5), MongoDb, Sql
Server 2008, NUnit, TFS. Spark, Python.
Key accomplishments:
• Team Lead; track record of delivering scope on time.
• Took part in implementing a scalable analytics platform.
• Introduced Machine learning in content testing (MV and AB testing).
o Statistical relevancy Pearson Chi-squared
o K-means clustering.
• Performance optimization of MongoDb and SQL server.
• Go-to guy for questions about Machine Learning.
customers (Sitecore 7.5), content testing (Sitecore 8). SCRUM team. Using C# (4.5), MongoDb, Sql
Server 2008, NUnit, TFS. Spark, Python.
Key accomplishments:
• Team Lead; track record of delivering scope on time.
• Took part in implementing a scalable analytics platform.
• Introduced Machine learning in content testing (MV and AB testing).
o Statistical relevancy Pearson Chi-squared
o K-means clustering.
• Performance optimization of MongoDb and SQL server.
• Go-to guy for questions about Machine Learning.
Content, Manager, Go, Server, Performance optimization, Testing, NUnit, TFS, Spark, Sql, Sitecore, Analytics, C, SQL Server, MongoDB, Machine learning, Scrum, Python
2010 - 2012
job
engineer
TheFilter.com.
Worked within a small team of developers implementing and extending a SaaS recommendation
system used primarily in the entertainment industry. Used C# (4.0), SQL server 2008, MongoDb,
Asp.net MVC, WCF, Nunit, TFS and JavaScript. Occasional Scrum master.
Key accomplishments:
• Implemented a configurable framework to do database deployment, enable almost instant new customer deployment, and feature update.
• Optimized our overnight ML training process to run many times faster. Tweaked our recommendations to increase the click-through rate.
• Maintained and optimized the recommendation engine, containing Naïve Bayesian, Collaborative filtering and Content-based filtering.
• Implemented indirect recommendations feature to enable recommendations between different item types (e.g. artist to songs)
• Lead a study group in Machine Learning to distribute existing knowledge and study new. Enabling more people to understand the core business and create a think tank to improve it.
system used primarily in the entertainment industry. Used C# (4.0), SQL server 2008, MongoDb,
Asp.net MVC, WCF, Nunit, TFS and JavaScript. Occasional Scrum master.
Key accomplishments:
• Implemented a configurable framework to do database deployment, enable almost instant new customer deployment, and feature update.
• Optimized our overnight ML training process to run many times faster. Tweaked our recommendations to increase the click-through rate.
• Maintained and optimized the recommendation engine, containing Naïve Bayesian, Collaborative filtering and Content-based filtering.
• Implemented indirect recommendations feature to enable recommendations between different item types (e.g. artist to songs)
• Lead a study group in Machine Learning to distribute existing knowledge and study new. Enabling more people to understand the core business and create a think tank to improve it.
C, Sql server 2008, Framework, Feature, Server, NUnit, Net, TFS, It, WCF, Content, MVC, Database, ASP, Javascript, Saas, Training, Deployment, ASP.NET, Scrum master, Asp.net mvc, SQL Server, MongoDB, Machine learning, Scrum, .Net, Sql
2007 - 2009
freelance
Lead/senior
GESI.
Extended the DHE (Distributed Healthcare Environment) core platform and worked with customers to implements integrations for hospitals in Italy and Denmark.
Key accomplishments:
• Worked with CNR (National Research Council) to implement a joined patient journal database,
while customizing the DHE to work as the common data layer in the Italian Region of Basilicata
(> 500.000 journals).
• Implemented a .NET client proxy for the DHE, to enable .NET applications to access the DHE. To
enable a healthcare region in Denmark to integrate their applications with the DHE system.
• Mentored a student as part of his Master in Computer Science.
Key accomplishments:
• Worked with CNR (National Research Council) to implement a joined patient journal database,
while customizing the DHE to work as the common data layer in the Italian Region of Basilicata
(> 500.000 journals).
• Implemented a .NET client proxy for the DHE, to enable .NET applications to access the DHE. To
enable a healthcare region in Denmark to integrate their applications with the DHE system.
• Mentored a student as part of his Master in Computer Science.
Research, Database, Net, Science
2004 - 2007
freelance
Consultant
TietoEnator.
Software development for the healthcare industry.
Key accomplishments:
• Designed the database model for a patient journal component, and took part implementing the component to run in the Copenhagen Country Electronic patient Record (EPJ) Enterprise solution
to enable them to run all hospitals on one base data layer.
• Stationed at IBM in Aarhus, DK (6 months) and GESI in Rome, IT (3 months) as a facilitator to integrate the DHE with EPJ solution and specification.
• Lead Study group to introduce new technology for the team.
• Arrange and execute workshops with customers.
Key accomplishments:
• Designed the database model for a patient journal component, and took part implementing the component to run in the Copenhagen Country Electronic patient Record (EPJ) Enterprise solution
to enable them to run all hospitals on one base data layer.
• Stationed at IBM in Aarhus, DK (6 months) and GESI in Rome, IT (3 months) as a facilitator to integrate the DHE with EPJ solution and specification.
• Lead Study group to introduce new technology for the team.
• Arrange and execute workshops with customers.
Software development, Database, Technology, Workshops, It, Facilitator, Development, Software, Enterprise
2003 - 2004
job
Developer
Enzym.
Sitecore CMS solution development.
CMS, Sitecore, Developer, Development
1999 - 2002
temp
Student
Informatics.
• Maintained the graphical design tool of the Mjolner IDE.
• Answered questions on beta and Mjolner IDE user mail groups.
• Created a UI sample browser, to be used as tutorials for Beta programmers.
• Answered questions on beta and Mjolner IDE user mail groups.
• Created a UI sample browser, to be used as tutorials for Beta programmers.
Design, UI
My education
2014
University of Copenhagen
N/a, N/a
N/a, N/a
1997
-
2003
Aarhus University
Masters, Computer Science
Masters, Computer Science
1997
-
2001
Aarhus University
N/a, Mathematics
N/a, Mathematics
?
-
2000
Aarhus University
Masters, Thesis title
Masters, Thesis title
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