Stephanie Tsao

About

I am a seasoned data professional helping organizations leverage data and new technologies to streamline work processes and improve the quality of public-facing products. With a passion for exploring data and technical tools, I have helped private companies incorporate new datasets into analyses and internal market models. I have also leveraged analysis tools to create charts and visualizations for external reports on behalf of Fortune 500 companies, nonprofits, and the U.S. federal government. Furthermore, I bring strong communication and project management skills after working for seven years as a data journalist and managing publications for audiences in the public and private sectors. Outside of work, I believe in continuous learning and improvement and enrich my data skills by attending community interest groups and conferences focused on big data, artificial intelligence, and data analysis tools. - Python coding libraries: Pandas, NumPy, SciPy, OpenPyXL - Machine learning tools: Scikit-Learn, PyTorch, TensorFlow - Data visualization tools: Matplotlib, PyPlot, Dash, Seaborn, Tableau, PowerBI, Datawrapper - Database skills: Introductory SQL, Snowflake - Text analysis: Regex, NLTK - Cloud computing: AWS, Azure - Web analytics platforms: Parse.ly, Google Analytics - Version control and code collaboration: GitHub, GitLab - AI: Large language models such as ChatGPT and Microsoft Copilot