Lead Data Scientist
2019 - 2021Undo Forsikringsagentur A/S- Researched and implemented new ways to estimate collision risk for car insurance using telemetry data.
- Analyzed user behavior, pricing, and marketing initiatives to support company growth.
- Managed and supervised all in-house data analytics and modeling projects.
- Aligned key stakeholders and led projects aiming to make the company more data-driven.
- Involved in the entire data pipeline, from data modeling to client visualizations.
- Developed a custom in-house framework for ETL on top of Airflow.
- Made a Python to SQL translator to speed up data analysis projects.
- Created microservices in Node.js and Fastapi for data visualizations.
Technologies: Python, Statistics, Geospatial Data, Machine Learning, PyTorch, Clustering, Unsupervised Learning, Apache Airflow, Communication, Web Crawlers, Artificial Intelligence (AI), Node.js, React, Data Modeling, Software Design, Software Deployment, Software Design Patterns, Geospatial Analytics, Data Analytics, Jupyter, Time Series Analysis, Amazon Web Services (AWS), GitHub, HTML, CSS, APIs, PostgreSQL, REST, Data Analysis, REST APIs, Microservices, GraphQL, Pytest, Architecture, System Design, Datasets, Django, Docker, Kubernetes, NumPy, Pandas, Data PipelinesHead of Engineering
2018 - 2019Raffle.Ai- Hired and managed a full team of back-end and front-end developers and ML engineers.
- Architected an in-house deep learning infrastructure based on Kubernetes.
- Developed a custom search platform for company intranets based on deep learning.
- Architected a multilingual text similarity model for text retrieval.
- Led the development of the client-side Electron application built with React.
- Created microservices to support the dataflow using Node.js and Python.
Technologies: Python, Deep Learning, Machine Learning, Natural Language Processing (NLP), Distributed Systems, React, PyTorch, TensorFlow, Artificial Intelligence (AI), Node.js, Data Modeling, Software Design, Software Deployment, Software Design Patterns, Search Algorithm Design, Data Analytics, Jupyter, Time Series Analysis, Amazon Web Services (AWS), GitHub, HTML, CSS, Clustering, APIs, PostgreSQL, REST, Data Analysis, REST APIs, Microservices, GraphQL, Pytest, Redis, Architecture, System Design, Datasets, Django, Docker, Kubernetes, NumPy, Pandas, Data PipelinesResearch Assistant
2017 - 2018Denmarks Technical Universtity- Handled half a terabyte of telemetry data, collected from overweight subjects' smartphones to estimate their activity level.
- Applied various machine learning approaches including deep learning for human activity recognition.
- Acted as a teaching assistant for both internal and external deep learning courses.
Technologies: Python, Deep Learning, Machine Language, Amazon Web Services (AWS), Artificial Intelligence (AI), Geospatial Analytics, Geospatial Data, PyTorch, TensorFlow, Data Modeling, Jupyter, Natural Language Processing (NLP), GitHub, HTML, CSS, Clustering, APIs, PostgreSQL, REST, Data Analysis, REST APIs, Pytest, Datasets, NumPy, PandasData Scientist
2017 - 2018TDC Group- Analyzed several Petabytes of network data to find movement patterns and other insights about the Danish population.
- Worked with Hadoop, PySpark, and Hive on both a test and production cluster.
- Supervised various in-house projects within NLP, recommendation, clustering, and deep learning.
- Handled communication with various customers and potential customers.
Technologies: Python, Hadoop, Spark, Jupyter, Geospatial Data, SQL, Apache Hive, PyTorch, Communication, Unsupervised Learning, Clustering, Artificial Intelligence (AI), Data Modeling, Software Design, Software Deployment, Software Design Patterns, Geospatial Analytics, Data Analytics, Natural Language Processing (NLP), Amazon Web Services (AWS), Computer Vision, Microsoft Power BI, GitHub, HTML, CSS, APIs, PostgreSQL, REST, Data Analysis, REST APIs, Pytest, Redis, Architecture, System Design, Datasets, Docker, NumPy, PandasSoftware Developer
2015 - 2016TwentyThree- Developed an in-house web crawler that continuously crawled the web for potential leads.
- Created an integration to HubSpot to provide the sales representatives with continuous leads.
- Made an in-house model for ranking leads to improve the efficiency of the sales representatives.
Technologies: Python, Web Crawlers, Large-scale Web Crawlers, HubSpot, JavaScript, CSS, Jupyter, GitHub, HTML, APIs, PostgreSQL, Datasets