My skills as a librarian are a perfect and beautiful match with being a data scientist. Just think…rainbows and unicorns, but with machine learning models.
Available Work Locations: San Antonio, TX
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Additional Skills: Customer Service • Python
Hire Me Because
My Capstone Project: Women in Data Science Competition
Women in Data Science Competition: Adapting to Climate Change by Improving Extreme Weather Forecasts Determined which columns to use for our data exploration, explored features that influenced the mean temperature. Based on the findings, predicted the mean temperature for the test data. Baseline using RMSE was 9.86℃ and our polynomial model reduced it to 1.27℃. Submitted our findings to the WiDS 2023 competition. Partners: Mark Foster and Naomi Sweatt