Lasse is available for hire

Lasse Hyyrynen

Verified Expert in Engineering

Data Scientist and Developer

Location

Helsinki, Finland

Toptal Member Since

March 18, 2021

Lasse is a data scientist with a background in mathematics. He excels in Natural Language Processing (NLP), data modeling, machine learning, Python, and artificial intelligence projects. He works on real-world problems that explore the extensive possibilities of ML and AI. Lasse has developed ML models that detect cybersecurity threats, created processing pipelines for machine learning models, and improved speech recognition accuracy by enhancing the pronunciation model for foreign words.

Machine Learning Linux Python 3 Python Natural Language Processing (NLP)Deep Learning Data Visualization Data Engineering Bokeh Clustering SQL SciPy NumPy Jupyter Pandas Whisper

Portfolio

F-Secure

Python 3, PySpark, PyTorch, Amazon Elastic MapReduce (EMR), AWS Lambda...

Utopia Analytics

Python 3, Scikit-learn, PyTorch, Generative Pre-trained Transformers (GPT)...

Lingsoft

Python 3, Kaldi, SQL, RabbitMQ, Scikit-learn...

Experience

Linux - 20 years Machine Learning - 7 years Deep Learning - 7 years Scikit-learn - 5 years PyTorch - 3 years Bokeh - 3 years PySpark - 2 years RabbitMQ - 1 year

Availability

Part-time

Preferred Environment

Linux, PyCharm, Slack

The most amazing...

...product I've created is the "JF" JSON and YAML query tool for performing complex transformations on datasets.

Work Experience

Data Scientist

2019 - 2021

F-Secure

Developed machine learning models to detect cyber security threats.
Built tools to integrate machine learning to various services.
Developed the company MLOps practices to provide top quality AI services.

Technologies: Python 3, PySpark, PyTorch, Amazon Elastic MapReduce (EMR), AWS Lambda, AWS Batch, Apache Spark, Generative Pre-trained Transformers (GPT), GPT, Natural Language Processing (NLP), Machine Learning, PyCharm, Python, Linux, Docker, Bokeh, Visualization Tools, Indexing, Asyncio, Pandas, SciPy, NumPy, TensorFlow, Jupyter, Data Analysis, Clustering, Data Visualization, Matplotlib, Deep Learning, SQL, GitLab CI/CD, Data Science, Decision Tree Regression, Decision Tree Classification, Data Engineering, Spark ML, Spark

Text Data Scientist

2017 - 2019

Utopia Analytics

Developed classifiers to various discussion forums and market places to automate human moderator work.
Researched deep learning models to enhance classification results.
Monitored model quality and built automation to retrain the model using the latest data.

Technologies: Python 3, Scikit-learn, PyTorch, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), GPT, Machine Learning, PyCharm, Python, Linux, Docker, Bokeh, Visualization Tools, Indexing, Pandas, SciPy, NumPy, TensorFlow, Jupyter, Data Analysis, Clustering, Data Visualization, Matplotlib, RabbitMQ, Deep Learning, SQL, GitLab CI/CD, Data Science, Decision Tree Regression, Decision Tree Classification, Data Engineering, Apache Kafka

Software Architect

2011 - 2017

Lingsoft

Developed a scalable processing pipeline for machine learning models.
Improved speech recognition accuracy by enhancing the pronunciation model for foreign words.
Developed and enhanced multiple algorithms for specific NLP tasks.
Managed multiple projects to meet customer requirements.

Technologies: Python 3, Kaldi, SQL, RabbitMQ, Scikit-learn, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Machine Learning, PyCharm, Python, Linux, Bokeh, Visualization Tools, SIP Protocol, Indexing, Asyncio, Pandas, SciPy, NumPy, Speech to Text, TensorFlow, Jupyter, Data Analysis, Clustering, Data Visualization, Matplotlib, Deep Learning, GitLab CI/CD, Data Science, Data Engineering

Experience

JF Dataset Filtering Tool

https://github.com/alhoo/jf

A tool for filtering, converting, and transforming datasets from format to format. The tool is a partial clone of the popular jq-tool, but it is written by data scientists for data scientists on Python. The aim of the tool is to make data conversions simpler and reusable in Python scripts and projects.

Skills

Languages

Python 3, Python, SQL, C++

Libraries/APIs

Scikit-learn, Pandas, PyTorch, PySpark, SciPy, NumPy, Matplotlib, Asyncio, TensorFlow, Spark ML, Luigi

Paradigms

Data Science

Platforms

Linux, Docker, AWS Lambda, Apache Kafka

Other

Machine Learning, Deep Learning, Speech to Text, Bokeh, SIP Protocol, Indexing, Natural Language Processing (NLP), Visualization Tools, Clustering, Data Visualization, Data Engineering, Decision Tree Classification, GPT, Generative Pre-trained Transformers (GPT), Data Analysis, Decision Tree Regression, Predictive Modeling, Time Series Analysis

Frameworks

Spark, Apache Spark

Tools

PyCharm, Jupyter, GitLab CI/CD, Slack, Kaldi, RabbitMQ, Amazon Elastic MapReduce (EMR), AWS Batch, Whisper

Storage

MongoDB, PostgreSQL, Azkaban

Education

2006 - 2012

Master's Degree in Mathematics and Computer Science

Aalto University - Espoo, Finland

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring