Isabelle Gomes | Portfolio

RESUME

About Me

I'm a science and tech professional with a passion for design and user experience. With a background in bioinformatics and programming focused on data analysis, I’ve developed a strong sense of logic, structure, and clarity, qualities I also found in the world of design. I'm currently transitioning into UI/UX design, aiming to combine my technical and creative skills to build intuitive, functional, and human-centered digital solutions.

Skills

Bioinformatics and Genomics

  • Tools: GATK, BWA, Samtools, FastQC, IQ-TREE, TreeTime, Franklin (Genoox)
  • Data Formats: FASTQ, VCF
  • Techniques: Genomic Data Analysis, Variant Calling, Sequencing Quality Control, Phylogenetic Tree Construction, NGS Pipeline Execution (Illumina, Nanopore)

Data Analysis

  • Tools: Python (Pandas, NumPy, Seaborn, Matplotlib), Jupyter Notebook, Power BI, SQL (MySQL), R
  • Techniques: Data Cleaning, Exploratory Data Analysis (EDA), Data Visualization, Statistical Analysis, Report Automation

UX/UI Design

  • Tools: Figma, Inkscape, Adobe Express, GitHub, Firebase, Azure
  • Technologies: React Native (with TypeScript), Vite.js, TailwindCSS, Axios
  • Techniques: UI Prototyping, UX Research, Responsive Design, Front-End Development, Design Systems

Professional Experience

2023 – Present

Freelance Designer & Web Developer

Designed and developed custom websites and visual identity systems for startups and small businesses, ensuring brand alignment, originality, and clarity. Led end-to-end redesign projects for web and mobile platforms, including user research, prototyping, and usability improvements. Prioritized responsive design, accessibility, and intuitive user experiences.

2023 – Present

Graduate Researcher – Fundação Oswaldo Cruz (FIOCRUZ)

Analyzed complex genetic data from pediatric cases, focusing on the identification and prioritization of relevant variants. Applied data analysis techniques and automated workflows to process large datasets, integrating clinical information to generate insights with potential applications in healthcare and decision-making.

2022 – Present

Freelance Bioinformatician

Designed and automated comprehensive pipelines for genomic data analysis, encompassing preprocessing, quality control, and downstream visualization via Power BI and Python (Pandas, Seaborn). Proficient in handling structured and semi-structured data formats such as FASTQ and VCF, with experience integrating clinical and multi-omics datasets. Skilled in genome assembly, variant calling, and functional interpretation of genomic alterations.

2022 – 2023

Graduate Researcher – Universidade Federal do Rio de Janeiro (UFRJ)

Supported data-driven projects in the field of environmental health and risk monitoring, combining lab-based work with computational analysis. Handled data extraction, processing, and interpretation to inform strategic decisions related to wildlife conservation, public health, and cross-sector risk assessment.

2019 – 2022

Undergraduate Research Intern – Universidade Federal do Rio de Janeiro (UFRJ)

Managed high-volume data analysis workflows in genomic and epidemiological surveillance projects. Automated processing pipelines using Python and tools like Excel to streamline variant tracking and metadata analysis. Delivered clear, data-backed insights to inform strategies and public decision-making.

Academic Experience

2023 – Present

Master's Degree in Genetics

Universidade Federal do Rio de Janeiro

Conducted genetic variant analysis as part of a research project involving pediatric exomes from COVID-19 cases. Focused on data processing, variant prioritization, and integration of clinical and genomic information. Gained hands-on experience in large-scale data handling and analysis to support research in health and disease.

2017 – 2022

Bachelor’s Degree in Biological Sciences – Genetics

Universidade Federal do Rio de Janeiro

Conducted academic research on large-scale SARS-CoV-2 genomic data, focusing on data integration, variant analysis, and the development of interactive epidemiological dashboards. Combined biological insights with data visualization techniques to support public health monitoring and strategic decision-making.

Courses & Certifications

  • Power BI: Introduction to Dashboard Development (SENAI | May 2024)
  • Power BI Overview (Ka Solution | Apr 2024)
  • Data Analysis (IA-LABS | Apr 2025)
  • Databases 1: Fundamentals (e-Tec Brasil | Apr 2025)
  • Design Thinking for UX Designers: Building Meaningful Products (EBAC | Apr 2025)
  • Data Science (IA-LABS | Ongoing)
  • Metagenomics Workshop (USP | Mar 2023)
  • L'Oréal Brandstorm 2025 (L'oréal Group | Apr 2025)