Martin Triska, Developer in Piešťany, Trnava Region, Slovakia
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Martin Triska

Verified Expert  in Engineering

Data Science Developer

Location
Piešťany, Trnava Region, Slovakia
Toptal Member Since
April 9, 2019

Martin is a well-rounded data scientist with expertise in bioinformatics, genetics, data visualization, and machine learning. With a master's degree in intelligent computer systems and several years of experience, he's ready to tackle his next challenge.

Portfolio

Reddit, Inc.
Data Science, SQL, Data Analysis, Data Visualization, Python, JavaScript...
Dubsmash, Inc.
Data Analysis, Data Visualization, SQL, Communication, Google Data Studio...
Breakthrough Genomics
Statistical Analysis, Keras, Data Science, Machine Learning, Linux...

Experience

Availability

Part-time

Preferred Environment

Pandas, TensorFlow, Python, Git, Ubuntu, Linux, Scrum

The most amazing...

...thing I've developed is a machine learning approach to transcription start site detection (start of a gene).

Work Experience

Data Analyst

2021 - 2024
Reddit, Inc.
  • Enabled product decisions by providing accurate, actionable, and timely data analyses.
  • Managed ETL operations using DAGs in Apache Airflow. Assisted with data warehousing decisions on petabyte-sized datasets.
  • Developed a more robust and reliable metric for measuring time on site for our users.
Technologies: Data Science, SQL, Data Analysis, Data Visualization, Python, JavaScript, Communication, Google Data Studio, Google BigQuery, Mobile Analytics, BigQuery, Dashboards, Large Data Sets, Apache Airflow, Data, Statistics, Statistical Data Analysis, Google Cloud, Complex Data Analysis, Google Cloud Platform (GCP)

Data Analyst

2019 - 2021
Dubsmash, Inc.
  • Developed a machine learning recommendation system driving up user engagement.
  • Supported management decisions by providing timely and accurate data analyses.
  • Built advanced dashboards providing continuous deep insights into user behavior.
Technologies: Data Analysis, Data Visualization, SQL, Communication, Google Data Studio, Google BigQuery, Python, JavaScript, Mobile Analytics, Machine Learning, Recommendation Systems, Dashboards, Google Cloud, Data, Statistics, Statistical Data Analysis, Large Data Sets, Apache Airflow, Artificial Intelligence (AI), TensorFlow Deep Learning Library (TFLearn), Complex Data Analysis, Google Cloud Platform (GCP)

Senior Bioinformatics Specialist

2018 - 2019
Breakthrough Genomics
  • Created a machine learning model estimating the pathogenicity of genetic variants based on sentiment analysis of the scientific papers.
  • Built a neural network deducing the pathogenicity of novel mutations based on available information.
  • Developed a back-end system seamlessly switching VPN connections to simulate multiple users.
  • Worked on distance, the Git source control system, and weekly Skype meetings.
  • Visualized all sorts of data, emphasizing the ease of understanding resulting graphs and figures.
Technologies: Statistical Analysis, Keras, Data Science, Machine Learning, Linux, RNA Sequencing, SciPy, Plotly, TensorFlow, NumPy, Pandas, Python, Neural Networks, Genetics, Data, Statistics, Statistical Data Analysis, Large Language Models (LLMs), Large Data Sets, Google Cloud, Artificial Intelligence (AI), Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), TensorFlow Deep Learning Library (TFLearn), Matplotlib, DNA Sequencing, Next-generation Sequencing, Complex Data Analysis, Data Analysis, Amazon Web Services (AWS), PyTorch

Pre-doctoral Research Fellow

2013 - 2017
Children's Hospital Los Angeles
  • Analyzed gene expression patterns in the development of Retinoblastoma in fetal retina tissue.
  • Developed a machine learning approach to identifying the transcription start site.
  • Created a method for the discovery of novel transcription factor binding sites (sequence motifs).
  • Analyzed genomes of resistant Mycobacterium strains.
  • Managed Linux servers for the whole research group.
Technologies: Statistical Analysis, R, Keras, Data Science, Machine Learning, DNA Sequencing, Illumos, RNA Sequencing, Oracle, SQL, Bash, C++, NumPy, Pandas, Python, Neural Networks, Visualization, Genetics, Data, Statistics, Statistical Data Analysis, Large Data Sets, Artificial Intelligence (AI), Matplotlib, Next-generation Sequencing, Complex Data Analysis, Data Analysis

Research Assistant

2012 - 2013
University of South Wales
  • Developed a machine learning approach to identifying transcription factor binding sites.
  • Authored and co-authored several scientific publications and participated in scientific conferences.
  • Managed Linux servers supporting the whole research team.
Technologies: Data Science, Linux, OpenMP, Open MPI, Boost, C++, Neural Networks, Visualization, Genetics, Data, Large Data Sets, Artificial Intelligence (AI), Matplotlib, Complex Data Analysis, Data Analysis

Set of Scripts for Analysis of Single-cell Gene Expression

https://github.com/MacanPN/single-cell-tools
This code was developed as part of my effort at Children's Hospital Los Angels in Retinal Development and Tumorigenesis Laboratory.
2010 - 2011

Master's Degree in Intelligent Computer Systems

University of South Wales - Pontypridd, United Kingdom

2007 - 2010

Bachelor's Degree in Information Technologies

Brno University of Technology - Brno, Czech Republic

MAY 2014 - PRESENT

Responsible Conduct of Research

Children's Hospital Los Angeles

Libraries/APIs

NumPy, Pandas, SciPy, Matplotlib, TensorFlow, TensorFlow Deep Learning Library (TFLearn), Keras, PyTorch, Open MPI, OpenMP

Tools

BigQuery, Plotly, Git, Apache Airflow

Languages

Python, SQL, R, C++, Bash, JavaScript

Paradigms

Scrum, Data Science

Platforms

Linux, Ubuntu, Oracle, Google Cloud Platform (GCP), Illumos, Amazon Web Services (AWS)

Storage

Google Cloud

Frameworks

Boost

Other

Genetics, Next-generation Sequencing, DNA Sequencing, RNA Sequencing, Data, Data Analysis, Complex Data Analysis, Statistics, Data Visualization, Statistical Data Analysis, Machine Learning, Genetic Algorithms, Neural Networks, Visualization, Google BigQuery, Dashboards, Statistical Analysis, Statistical Modeling, Data Mining, Artificial Intelligence (AI), Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Communication, Google Data Studio, Mobile Analytics, Recommendation Systems, Large Data Sets, Large Language Models (LLMs)

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