Martin Triska
Verified Expert in Engineering
Data Science Developer
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
Experience
Availability
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
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.
Data Analyst
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.
Senior Bioinformatics Specialist
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.
Pre-doctoral Research Fellow
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.
Research Assistant
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.
Experience
Set of Scripts for Analysis of Single-cell Gene Expression
https://github.com/MacanPN/single-cell-toolsSkills
Languages
Python, SQL, R, C++, Bash, JavaScript
Libraries/APIs
NumPy, Pandas, SciPy, Matplotlib, TensorFlow, TensorFlow Deep Learning Library (TFLearn), Keras, PyTorch, Open MPI, OpenMP
Tools
BigQuery, Plotly, Git, Apache Airflow
Paradigms
Scrum, Data Science
Platforms
Linux, Ubuntu, Oracle, Google Cloud Platform (GCP), Illumos, Amazon Web Services (AWS)
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), GPT, Generative Pre-trained Transformers (GPT), Communication, Google Data Studio, Mobile Analytics, Recommendation Systems, Large Data Sets, Large Language Models (LLMs)
Frameworks
Boost
Storage
Google Cloud
Education
Master's Degree in Intelligent Computer Systems
University of South Wales - Pontypridd, United Kingdom
Bachelor's Degree in Information Technologies
Brno University of Technology - Brno, Czech Republic
Certifications
Responsible Conduct of Research
Children's Hospital Los Angeles
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