Data wrangling, data cleaning, data extraction, data transformation, analytics, prediction, machine learning, reporting/dashboard, database, SQL, analysis and visualization, statistical analysis and modelling, and web scraping.
Extracting valuable data from datasets using BigQuery and Pandas.
Building Google Data Studio dashboards and JuPyter Notebooks providing insights from datasets.
Excellent command of Anaconda (JuPyter, Spyder, PyCharm, etc.), Google BigQuery, SQL, Numpy, Scipy, Pandas, Seaborn, Matplotlib, scikit-learn (SVM, KNN, Naïve Bayes, Decision Tree, K-means, Gradient Boosting, Linear Regression, Logistic Regression, Random Forest, etc.), Turi (GraphLab Create), TensorFlow, and PyTorch (MLP, CNN, RNN, Transfer Learning).