olgarozhdestvina,Olga Rozhdestvina,github

I am a motivated and team-oriented Data Analyst, who enjoys working hard to continuously expand her skill set.

Key Projects

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.