Data Scientist proficient in python, predictive modeling, and machine learning. Excels at data cleaning, wrangling, visualization, and modeling; addressing analytical challenges from conception to resolution. Experience researching and building models used in production. Background that extends to non-profit program management, bringing a unique blend of data and non-profit management expertiseCurrently, I am a Data Scientist intern at Growers Edge where I am using machine learning and statistical analysis to improve the performance of an auto land valuation model. I also recently graduated from a data science boot camp to enhance my technical skills and stay up-to-date with the latest industry advancements, including data analysis, statistical modeling, machine learning, and visualization tools. With strong problem-solving, communication, and project management skills, I have a proven track record of delivering results in fast-paced environments.As the manager of a successful social enterprise, I supervised staff members and volunteers while empowering program participants to earn over $1.5 million, and I have developed a deep understanding of how data can drive impactful decisions. I am now seeking to apply these skills and experiences in a data analyst or data scientist role where I can continue to make a positive impact through data-driven solutions.Outside of work, I enjoy chasing my 3 young kids around, gardening, playing tennis and reading sci-fi books. Feel free to message me if you'd like to connect!Technical Skills• Programming Languages: Python (Pandas, Numpy, Scikit-Learn), SQL• Data Visualization: Seaborn, Matplotlib, Looker• Analytics: Advanced Excel (Pivot Tables, VLOOKUP functions, Logical Formulas)• Machine Learning: Linear/Logistic Regression, Classification, Clustering, Decision Tree, Random Forest, XGBoost• Probability & Statistics: Hypothesis Testing, A/B Testing