LinkedIn Profile

Github Profile

• Machine Learning Projects: A collection of exploratory projects solving a wide range of problems with various Machine Learning techniques.
• UserEngagement: A project on determining the most important factors influencing user adoption based on usage data of a given product using Logistic Regression and Random Forests.
• Github repo with the code of the statistical analysis comparing two solar panel manufacturers, and an algorithm substantially optimizing fetching of the API of one of them.

• A data visualization presenting the result of the statistical analysis comparing two solar panel manufacturers.
• Plotly-based interactive graph for investigating historic solar energy production data.
• Data visualization of recorded noise levels on Market Street, San Francisco.

• Diagram of the Relational Database Architecture of a data warehouse for collecting and processing big solar data, designed to handle various edge-cases in equipment-to-site relationships.

• Diagram demonstrating the object-oriented data pipeline software architecture designed around reusability of the code to handle diverse data formats and APIs through the Command and Factory software design patterns.
• Django/Vue.js web dashboard used for monitoring day-to-day solar panels activity.
• Chrome extension redesigning and upgrading the university's online platform.

• LinkedIn recommendation from the manager.

Also available on LinkedIn