Grace D.

Machine Learning & Data Scientist | Python, R, SQL | Scientific Writing & Analytics I'm a computational scientist with a strong academic foundation and hands-on experience in machine learning, statistical modeling, and data storytelling. I help clients turn complex scientific or business data into clean, insightful, and actionable deliverables. Whether you're looking to: Clean and wrangle messy datasets Build interpretable ML models (classification, regression, clustering) Develop dashboards or visual reports Validate results for research, grants, or decision-making Translate technical findings into high-quality writing …I can help bridge the gap between data and impact. 🔧 Core Tools & Skills: Programming: Python (Pandas, scikit-learn, PyTorch), R (tidyverse, ggplot2), SQL ML & AI: Supervised/unsupervised learning, transformers, deep learning (NLP, GenAI) Visualization: Streamlit, Shiny, Seaborn, Plotly, Jupyter, RMarkdown Scientific & Technical Domains: Genomics, healthcare, time series, survey data Deliverables: Reproducible notebooks, annotated code, dashboards, summary reports, research-ready writing Backed by a Master’s degree from Carnegie Mellon University and a portfolio of projects in both academic and industry settings, I bring a detail-oriented and communication-focused approach to every collaboration. 🔁 Clear, regular communication and well-documented work are my priorities. Let’s connect — I’d love to help you move your project forward.