About Me

I am a biologist with a master's degree in Biophysics and Quantitative Biotechnology, and another in Data Science. My passion lies at the intersection of biology and data science, using quantitative and computational tools to solve complex biological problems. Experience

• Biophysics and Quantitative Biotechnology: I have a solid background in quantitative analysis of biological systems, modeling, and biophysical simulations.
• Data Science: I have developed skills in data analysis, machine learning, and data visualization applied to biology and biotechnology.
• Research Projects: I have participated in various research projects, collaborating with multidisciplinary teams to develop innovative and data-driven solutions.

Technical Skills

• Programming Languages: Python, R, SQL
• Data Science Tools: Pandas, NumPy, SciPy, scikit-learn, TensorFlow
• Data Visualization: Matplotlib, Seaborn, ggplot2
• Bioinformatics: BLAST, Biopython, Bioconductor
• Modeling and Simulation: Pymol

Highlighted Projects

• Protein Modeling: Development of computational models to study protein dynamics and structure.
• Genomic Sequence Analysis: Implementation of pipelines for annotation and analysis of genomic data.

Goals

I am interested in continuing to apply my knowledge and skills to challenging projects that integrate biology with data science, contributing to significant advancements in biotechnology and bioinformatics.