Results-driven Bioinformatics and Data Analyst with academic experience at Brigham Young University–Idaho, skilled in applying R and Python for large-scale data analysis, visualization, and predictive modeling. Proficient in leveraging bioinformatics tools and databases (BLAST, NCBI, Ensembl) to analyze genomic and molecular datasets, identify patterns, and generate biologically meaningful insights. Demonstrated success in enhancing operational efficiency through automation of workflows, improving reproducibility, and reducing manual processing time. Strong communicator and collaborator with the ability to translate complex biological and computational findings into clear, actionable recommendations that support research goals, resource allocation, and strategic decision-making. Passionate about using computational biology to advance healthcare, biotechnology, and life sciences research.
Programming & Scripting: Python, R, SQL
Data Analysis & Visualization: Pandas, NumPy, Matplotlib, ggplot2
Genomics & Sequence Analysis: Next-Generation Sequencing (NGS), RNA-Seq, variant calling, genome annotation
Statistics & Machine Learning: Regression, clustering, classification, scikit-learn, TensorFlow/PyTorch
Molecular biology techniques (PCR and DNA/RNA extraction)
Work Skills: Strong in communication, teamwork, problem-solving, and time management in technical and collaborative settings