I am a motivated and team-oriented Data Analyst, who enjoys working hard to continuously expand her skill set.
| Project | Short Description |
|---|---|
| Wind Turbine Power Production - Machine Learning and Neural Networks approach | A web service in a Docker container that makes accurate predictions of wind turbine power from given wind speed, as well as Jupyter Notebook comparing three models, Polynomial interpolation, Decision Tree and Neural Networks. |
| Wind Turbine Power Production - Regression approach | Two models, Simple Linear Regression and Polynomial Regression, that make predictions of wind turbine power from given wind speed. Each model is implementated using NumPy and SciPy libraries. |
| Machine Learning and Statistics Tasks | - Calculating square root of 2 to 100 decimal places without Python libraries - Verifying the Chi-squared value - Python analysis of standard deviation in Microsoft Excel: STDEV.P vs STDEV.S - Iris k-Nearest Neighbours |
| Fundamentals of Data Analysis Tasks | - A dictionary of unique items with the number of appearance from a list without Python libraries - Dice roll simulation - Flip a coin simulation - Simpson’s paradox |
| Sorting Algorithms | An application to benchmark five different sorting algorithms: Insertion Sort, Quicksort, Heap Sort, Bucket Sort and Introsort, with a report introducing the algorithms and analysing their implementation and benchmarking. |
| Dental Clinic | CRUD dentist / patient management web application built using Flask with a REST API and MySQL database. The application hosted online on PythonAnywhere here. |
| Shop Simulator | Three programs simulating a shop employing C Procedural Programming, Python Procedural Programming and Java Object Oriented Programming, as well as a report outlining similarities and differences between the procedural and the object-oriented approach. |
