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