Nicole Rodriguez

Possessing practical expertise in research projects and collaborations, as well as proficiency in programming languages including R, Python, and SQL, I have demonstrated success in compiling and interpreting bioinformatics information through software, statistics, and data mining. Eager to gain additional hands-on experience in developing bioinformatics algorithms to address real-world challenges. My precise attention to detail, problem-solving analytical skills, organizational abilities, efficient time management, and clear communication are attributes that I believe will contribute significantly to our industry.

• Analyzed results using analytical software and created reports.
• Interpreted and analyzed research data to conclude outcomes.
• Utilized advanced statistical tools and methodologies for data analysis, leading to more accurate interpretations of experimental outcomes.
• Developed strong analytical skills through hands-on experience with various statistical software tools and platforms.

• Research Project: Genome Assembly, Executed genome assembly for Rhodobacter spheroides by extracting raw sequence data from the SRA database using a shell script, and employed Trimmomatic, QUAST, and SPAdes assembler for precise trimming, assembly, and analysis reporting.
• Research Project: Amino Acid Identification, Performed de novo peptide sequencing using Mass Spectrometry to identify amino acids for a set of unknown proteins, utilizing a method independent of prior knowledge of the amino acid sequence. Developed a program that opens a file and generates two output files—one containing the associated protein sequence and the other containing the corresponding secondary structures.
• Research Project: Cancer Genomics, Utilized maftools, designed for the storage of detected somatic variants, to efficiently summarize, analyze, annotate, and visualize Mutation Annotation Format (MAF) files sourced from the Cancer Genome Atlas Project, encompassing sequencing data from over 30 distinct cancers.

• BLS - American Heart Association
• Microsoft Office 2018 & Adobe Office 2018