Olesya Irkhina's Projects
Performing the cloud ETL process with connection to an AWS RDS instance and loading the transformed data into pgAdmin by using PySpark.
Analysis of retiring employees and eligible employees for the Mentorship Program using ERD, intermediate-level SQL statements for Data Engineering.
Creating a story in Tableau and writing a report that describes the key outcomes with a set of visualizations.
Employing different techniques to train and evaluate models with unbalanced classes using machine learning python libraries.
The analysis of the cryptocurrency market is based on unsupervised machine learning with preprocessed data, reduced dimensions using PCA, clustered data using K-means.
Showing the earthquake data in relation to the tectonic platesβ location on the earth, and all the earthquakes with a magnitude greater than 4.5 on the map
Auditing by using Python, printing the results to the Command-Line, and saving it to a Text File.
git it class
My first project is to create a website for learning communication in foreign languages by the author's method!
Interactive data web-visualization with the dropdown menu on the webpage using JavaScript, Plotly, and D3.js.
javascripting challenges
Performing analysis on Kickstarter data to uncover trends.
lighthouse-js-fundamentals
Creating an automated pipeline that takes in new data, performs the appropriate transformations, loads the data into existing tables, and performs the ETL process by adding the data to a PostgreSQL database.
All the Git-it Workshop completers!
Retrieving the weather data using API skills, making input statements, creating a custom travel destinations map and, a travel itinerary map using the Google Maps Directions API.
Teamwork. Prediction of future potential job vacancies and understanding underlying patterns in Canadaβs job market using MLP Regressor and SARIMAX of supervised ML models.
Creating a binary classifier that is capable of predicting whether applicants will be successful if funded by the company.
Creating a summary of the ride-sharing data and multiple-line graph that shows the total weekly fares for each city type using your Python skills and libraries.
Analyzing 15 school scores using python libraries.
Reviewing the production data with multiple linear regression analysis, summary statistics, t-tests using R.
Compare 12 stock performances for 2 years as well as refactor code to improve the runtime of calculation.
Determining if the surf and ice cream shop business is sustainable year-round using Pandas, and SQLALchemy.
Building a web page to allow users to filter for multiple criteria at the same time using JavaScript, D3, and HTML.
Scraping full-resolution images by using BeautifulSoup and Splinter, storing the scraped data on a NoSQL MongoDB, displaying the data with Flask web app, and styling the webpage with Bootstrap 3..