• 👋 Hi, I’m @bayjan
• 👀 I’m interested in using machine learning algorithms to find patterns from data, especially, biomedical multi-omics data.
  • I’m interested in comparative genomics analysis and do irregular DevOps tasks as well.
• 🌱 I’m currently learning a deep learning framework and its application to several data types.
• 📫 How to reach me: at GitLab https://gitlab.com/bayjan, at twitter @bayjan and at Google Scholar https://scholar.google.com/citations?user=UOg0jLgAAAAJ&hl=en

Bioinformatician turned Data Scientist

I am a data scientist with a background in bioinformatics and expertise in machine learning, statistics, and programming in Python and R.

Skills

Programming

Python (Biopython) R SQL (MySQL, PostgreSQL) Bash scripting Grid/Cloud computing NoSQL (MongoDB) Probabilistic programming (Stan/PyStan) 

Essential bioinformatics skills

Comparative genomics tools Orthology prediction NGS data analysis (assembly, SNP/InDel analysis, annotation) Phylodynamic analysis (e.g. BEAST tool) Galaxy (workflow management and tool integration framework) Analysis of large metagenomics data sets (Qiime) MLST profiling (e.g.: SeqSphere) 

Knowledge in statistics and machine learning

Linear models Multivariate statistics Machine learning algorithms (e.g. Random Forest, SVM) and libraries (e.g. scikit-learn, WEKA, H2GO) Deep learning with PyTorch (fast.ai) 

Other relevant skills

Linux HPC Snakemake Docker Git Elasticsearch Web programming (mostly using Python) Apache Spark Kubernetes