Computational Biologist specializing in Bioinformatics and Data Science

Computational Biology
Expertise in applying computational techniques to solve biological problems, develop innovative bioinformatics solutions, and model the human genome.

Data Analysis and Visualization
Proficiency in compiling and analyzing data using Python libraries such as Pandas and NumPy, and creating visualizations with Matplotlib and Seaborn.

Machine Learning
Experience in developing predictive models using TensorFlow and scikit-learn for applications such as protein structure prediction.

Cloud Computing
Skilled in cloud-based data management and AWS services, including Lambda, Elasticsearch, and Kibana for data processing and analysis.

Programming Languages
Proficient in multiple programming languages including Python, R, SQL, Bash, and Perl for various computational and data science tasks.

Bioinformatics Tools
Extensive knowledge of bioinformatics software and tools such as BLAST, BWA, Nextflow, and NGS for genomic analysis and sequencing.

Software Development
Capable of developing and customizing software applications using Python and bash to meet specific project requirements and improve scalability.