Sr. Data Scientist
Current• Using Pandas, NumPy, Seaborn, SciPy, Matplotlib, Scikit-learn, and NLTK in Python to develop various machine learning algorithms and utilize machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis.• Building an automated NLP language topic model using the LDA algorithm to determine trends across the ideas submitted internally and externally. Also performed similar word and frequent word analysis. The result of the analysis helps USAA improve engagement with its customers and employees.• Building Product Line Scorecard and User Defined Applications (UDA) Dashboards Visualizations in Tableau.• Conducting Statistical analysis for USAA Research Labs projects such as Email Engagement Analysis, Data Quality Confidence Analysis, Line of Business Categories Text Cluster Analysis.• Leveraging advanced business/analytical knowledge to participate in and lead discussions with cross-functional teams to understand complex business objectives and influence solution strategies. Organizing and overseeing the development of requirements/resources necessary to meet objectives.• Identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy. Integrating/transforming disparate data sources and applying the appropriate data hygiene techniques.• Determining and conducting appropriate exploratory data analysis (EDA) techniques on candidate data sets. Using appropriate sampling techniques to select data subset for EDA.