Get To Know Me

My Background

There are so many people in the world who never have the opportunity to pursue the career they love. I’m not one of them. I love what I do and since starting my career, I’m thrilled to say that I’ve learned from so many trained professionals in my field. I know that I still have so much to learn from others in the industry. I’m a hard worker, a team player, and excited to see what projects could benefit from my unique skill set.

Primary Skills

• Python: Requests, Beautiful Soup, Scrapy, StatsModels, Scipy, Matplotlib, Plotly, Seaborn, Pandas, Numpy, Random Forest, XGBoost, K-Means, Concurrent.Futures, Psycopg2, Pyodbc, SQLAlchemy, Sklearn, Dask, Dask-ML

• SQL: Select, Where, Order By, Having, Group By, Limit, Aggregation, Case, Aliases, Dates, Joins & Unions, Analytic Functions, Window Functions, Nested & Repeated Data, Writing Efficient Queries, Stored Procedures, Views

• Databases: PostgreSQL, MySQL, MS SQL Server, IBM DB2

• Stata: Panel Data Regression, Logistic Regression, Linear Regression, Install Custom Ado files, Macros, Descriptive Statistics, Cross-tabulations, Statistical Tests, Data Visualizations, Data Import & Export, Data Transformation

• Microsoft Excel: Pivot Tables, VLOOKUP, Power Query, Visual Basic for Applications

• R: Vectors, Matrices, Factors, Data Frames, Lists, Relational and Logical Operators, Loops

• Qualtrics: Skip logic, Display logic, Branch logic, Randomizer, Templates, Email Triggers

• Tableau: Calculated Fields, Segmentation, Aggregation, Filtering, Visualizations, Dashboards, Stories

• HTML: Images, Tables, Elements, Attributes, Links, Classes, ID

• CSS: Tables, Borders, Margins, Padding, Height/Width, Display

• JavaScript: Assignment, Functions, Objects, Events, Classes, Loops, Conditions