I’m a Molecular Technologist turned Data Scientist with a strong foundation in molecular biology, bioinformatics, and applied machine learning.
With experience working in both lab and data environments, I build data‑driven solutions that blend scientific insight and engineering discipline.
I’m passionate about:
- Building reproducible ML pipelines and workflows
- Translating biological data into actionable insights
- Bridging wet‑lab science with computational biology and data engineering
I am focused on applying data science, AI/ML, and bioinformatics to translational research, clinical genomics, and biotech analytics. Open to opportunities in biotech, pharma, healthcare, and other data-driven roles.
| Area | Skills |
|---|---|
| 📊 Data Science & ML | Python, SQL, pandas, scikit-learn, regression, classification, clustering, ML pipelines, applied AI, hyperparameter tuning, Optuna, model monitoring |
| ☁️ Cloud, Deployment & MLOps | Docker, Streamlit, GCP, Render, pipeline automation, reproducible environments, model deployment, pipeline orchestration |
| 📈 Data Visualization & Analysis | Matplotlib, Seaborn, Plotly, Tableau, Power BI, literature review, trend analysis, statistical modeling, hypothesis testing |
| 🧬 Bioinformatics & NGS | Genomics analysis, RNA therapeutics, variant calling, BLAST/Entrez, protein modeling |
| 🔬 Lab Automation & Support | Robotics, lab instrumentation troubleshooting, LIS integration |
| 🧾 Regulatory & Quality | CAP/COLA/CLIA standards, SOP management |
| 🚀 Collaboration & Communication | Training, technical presentations, troubleshooting guidance, communicating with non-technical stakeholders |
| Languages | Data / ML | Deep Learning / AI | Visualization | Cloud / Deployment | Dev Tools | Bioinformatics |
|---|---|---|---|---|---|---|
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Agentic Machine Learning for Multi-Omics Breast Cancer Subtyping
- Data engineering and machine learning (classic and agentic AI) pipelines
- Classify breast cancer samples into intrinsic molecular subtypes using multi-omics data
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- An intelligence platform showcasing automated trend extraction from RSS feeds across the biotech ecosystem.
- Interactive dashboard allowing exploration of recent trends.
- Submitted as a Concierge Agent for Google AI Agents Intensive Capstone Project.
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Machine Learning Classification of Structural Protein Sequences for Drug Discovery
- Comparison of different Machine Learning approaches (NLP, LSTM, LLM) to predict protein functional class from sequence alone.
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Property Type Prediction Dashboard
- Machine learning project completed during an externship with Berkshire Hathaway HomeServices.
- Data-driven dashboard to classify real estate listings by property type (detached, attached, or condo) using MLS data.
Note: The dataset contains synthetic data to replace proprietary information while preserving structure and patterns for demonstration purposes.
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- Route optimization algorithm for a summer vacation roadtrip created in collaboration with Software Engineers.
- Interactive website to plan a route for a summer roadtrip through national parks and provide helpful travel tips.
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- Bioinformatics exercises and exploratory projects from academic study and personal exploration, as well as NGS analysis pipelines.
- Coursework
- NGS Analysis Pipelines
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TripleTen Data Science Projects
- Machine learning and data analysis projects from the TripleTen Data Science Professional Training Program.
Feel free to reach out, I am always looking for opportunities and networking!