Strong background in coding. Experienced with cleaning, analyzing, and testing data. Pandas, Numpy, Jupyter Notebook, Git.
Building and preparing data pipelines, data wrangling, feature selection, automated modelling. APIs, Flask, HTML, CSS.
Focused on communicating insights with impactful and coherent data visualizations.
Matplotlib, Seaborn, Plotly, Scattertext.
Supervised/unsupervised learning, clustering, natural language processing, neural networks. Scikit-learn, StatsModel.
Experienced with reading and writing to databases. Adept with filters, GROUP BY, joining. PostgreSQL, SQLite3.
Strong familiarity with media ecosystem. Social media & coverage analysis, share of voice research. Sysomos, CARMA, Spinklr.