Rógvi Dávid Arge
Head of Data Science at Flowtale- Claim this Profile
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Faroese Native or bilingual proficiency
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English Professional working proficiency
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Danish Native or bilingual proficiency
Topline Score
Bio
Klaus Erik Hansen
Rogvi is a unique resource combining in-debt data scientist capabilities, with a good people and business understanding. This was evident during our collaboration, where Rogvi used his agile capabilities to develop a MVP that improved the business while ensuring buy-in from the organisation. Rogvi works efficient, independent and with a calm demeanor - any project would be lucky to have him on-board.
Jes Ravnbøl
Rógvi is the rare data scientist that can cover the entire data science spectrum. He has the software development chops and machine learning knowledge to go from a business problem to a machine learning product. I have been fortunate to work with Rógvi in two different companies, first in ATP and later in DFDS. In our latest stint together, while Rógvi was consulting for DFDS, I was very impressed with how he: • Successfully managed the data science and business part of a new project that was started from scratch. • Independently sought out research in Operations Research to solve the business problem at hand. • Built a minimal-viable-product, including data pipelines, algorithm, API and frontend all dockerized and deployed on Kubernetes. Rógvi is self directed, a joy to be around and has a passion for the field of data science. He would be a valuable asset to any analytics or data science team.
Klaus Erik Hansen
Rogvi is a unique resource combining in-debt data scientist capabilities, with a good people and business understanding. This was evident during our collaboration, where Rogvi used his agile capabilities to develop a MVP that improved the business while ensuring buy-in from the organisation. Rogvi works efficient, independent and with a calm demeanor - any project would be lucky to have him on-board.
Jes Ravnbøl
Rógvi is the rare data scientist that can cover the entire data science spectrum. He has the software development chops and machine learning knowledge to go from a business problem to a machine learning product. I have been fortunate to work with Rógvi in two different companies, first in ATP and later in DFDS. In our latest stint together, while Rógvi was consulting for DFDS, I was very impressed with how he: • Successfully managed the data science and business part of a new project that was started from scratch. • Independently sought out research in Operations Research to solve the business problem at hand. • Built a minimal-viable-product, including data pipelines, algorithm, API and frontend all dockerized and deployed on Kubernetes. Rógvi is self directed, a joy to be around and has a passion for the field of data science. He would be a valuable asset to any analytics or data science team.
Klaus Erik Hansen
Rogvi is a unique resource combining in-debt data scientist capabilities, with a good people and business understanding. This was evident during our collaboration, where Rogvi used his agile capabilities to develop a MVP that improved the business while ensuring buy-in from the organisation. Rogvi works efficient, independent and with a calm demeanor - any project would be lucky to have him on-board.
Jes Ravnbøl
Rógvi is the rare data scientist that can cover the entire data science spectrum. He has the software development chops and machine learning knowledge to go from a business problem to a machine learning product. I have been fortunate to work with Rógvi in two different companies, first in ATP and later in DFDS. In our latest stint together, while Rógvi was consulting for DFDS, I was very impressed with how he: • Successfully managed the data science and business part of a new project that was started from scratch. • Independently sought out research in Operations Research to solve the business problem at hand. • Built a minimal-viable-product, including data pipelines, algorithm, API and frontend all dockerized and deployed on Kubernetes. Rógvi is self directed, a joy to be around and has a passion for the field of data science. He would be a valuable asset to any analytics or data science team.
Klaus Erik Hansen
Rogvi is a unique resource combining in-debt data scientist capabilities, with a good people and business understanding. This was evident during our collaboration, where Rogvi used his agile capabilities to develop a MVP that improved the business while ensuring buy-in from the organisation. Rogvi works efficient, independent and with a calm demeanor - any project would be lucky to have him on-board.
Jes Ravnbøl
Rógvi is the rare data scientist that can cover the entire data science spectrum. He has the software development chops and machine learning knowledge to go from a business problem to a machine learning product. I have been fortunate to work with Rógvi in two different companies, first in ATP and later in DFDS. In our latest stint together, while Rógvi was consulting for DFDS, I was very impressed with how he: • Successfully managed the data science and business part of a new project that was started from scratch. • Independently sought out research in Operations Research to solve the business problem at hand. • Built a minimal-viable-product, including data pipelines, algorithm, API and frontend all dockerized and deployed on Kubernetes. Rógvi is self directed, a joy to be around and has a passion for the field of data science. He would be a valuable asset to any analytics or data science team.
Credentials
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Natural Language Processing
CourseraJul, 2019- Oct, 2024 -
Deep Learning Specialization
CourseraMar, 2018- Oct, 2024 -
Sequence Models
CourseraMar, 2018- Oct, 2024 -
Applied Social Network Analysis in Python
CourseraFeb, 2018- Oct, 2024 -
Convolutional Neural Networks
CourseraJan, 2018- Oct, 2024 -
Probabilistic Graphical Models 1: Representation
CourseraOct, 2017- Oct, 2024 -
Data Analyst Nanodegree
UdacitySep, 2017- Oct, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraSep, 2017- Oct, 2024 -
Neural Networks and Deep Learning
CourseraSep, 2017- Oct, 2024 -
Structuring Machine Learning Projects
CourseraSep, 2017- Oct, 2024 -
Epidemics - the Dynamics of Infectious Diseases
CourseraJan, 2014- Oct, 2024 -
Introduction to Computer Science
UdacityJan, 2013- Oct, 2024 -
Amazon Web Services Cloud Practitioner
Amazon Web Services (AWS)Nov, 2019- Oct, 2024
Experience
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Flowtale
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Denmark
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Information Technology & Services
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1 - 100 Employee
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Head of Data Science
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Feb 2022 - Present
• R&D and deployment of novel signal processing algorithms• Data science team building • Management of data scientists• Building python packages, CLI tools, and templates for large organizations• Developing and deploying ML and DL models in edge technology• Speeding up ML & DL with ONNX and TensorRT• Building internal dashboards with Panel
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Senior Data Scientist
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Sep 2019 - Present
Building data-driven and cloud based solutions such as:• development and deployment of Smart Living IoT solution on Azure • development and implementation of R package for financial services • development of Azure Machine Learning solution for manufacturing • python based analytics solution for IoT vertical of Telco Giant• developing unsupervised machine learning models for S&P 500 company
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Data Scientist, Independent Contractor
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Dec 2018 - Jul 2019
Creating valuable and actionable insights using Data Science and Data Visualization.Developing optimization algorithms to increase business efficiency.End-to-end data science & machine learning development.
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Consultant, Data Science - DFDS
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Dec 2018 - Apr 2019
Worked on two projects as a Data Science Consultant
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ATP
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Denmark
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Financial Services
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700 & Above Employee
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Data Scientist
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Feb 2017 - Nov 2018
• Developed expert systems for minimizing fraud in social benefits • Developed Flask data monitoring dashboards as well as other data quality alarms in Python • Developed explainable Supervised Learning models to detect social benefit fraud • Developed expert systems for minimizing fraud in social benefits • Developed Flask data monitoring dashboards as well as other data quality alarms in Python • Developed explainable Supervised Learning models to detect social benefit fraud
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ConWX
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Denmark
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Renewable Energy Semiconductor Manufacturing
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1 - 100 Employee
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Data Analyst & Programmer
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Apr 2015 - Feb 2017
• Discovered and validated a way to improve forecasting for one of our largest clients by more than 25%, greatly increasing client monthly profit. • Part of a team that designed, developed, and analysed an automization system for new improved power curves increasing accuracy by 3 - 11%. • Architect, developer, and tester behind a monitoring application used for continuous monitoring of prediction performances. • Discovered and validated a way to improve forecasting for one of our largest clients by more than 25%, greatly increasing client monthly profit. • Part of a team that designed, developed, and analysed an automization system for new improved power curves increasing accuracy by 3 - 11%. • Architect, developer, and tester behind a monitoring application used for continuous monitoring of prediction performances.
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Ramboll
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Denmark
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Civil Engineering
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700 & Above Employee
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Student assistant
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Mar 2011 - Apr 2015
• Designed and developed a Track Changes add-in used by multiple departments, optimizing interdepartmental workflow. • Designed and developed item checking macro's and automatic report generation tools for two departments saving hundreds of man-hours. • Developed energy calculation kernel in C++ based on a PhD project of an engineer at Rambøll cutting computation time of calculations by more than 20,000% • Developed API for a building energy consumption program, simplifying the finding of parameters that minimize energy consumption. Show less
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Skúlin vid Løgmannabreyt
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Faroe Islands
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Full time teacher's assistant
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Aug 2008 - Jun 2009
Between Gymnasium and University I worked one year as a full time teachers assistant. Between Gymnasium and University I worked one year as a full time teachers assistant.
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Bartender
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Jul 2004 - Jul 2005
I worked weekends as a bartender or a doorman while attending gymnasium. I worked weekends as a bartender or a doorman while attending gymnasium.
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Education
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2015 - 2017
Udacity
Nanodegree, Data Analyst -
2012 - 2015
Københavns Universitet
Master of Science (M.Sc.), Physics -
2009 - 2012
Københavns Universitet
Bachelor of Science (BSc), Physics -
2005 - 2008
Føroyar studentaskúli í Hoydølum
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