Oleksandra Pavlenko
Offer Oleksandra work on your next project.
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Offer work
Iasi,
Romania
4 months 19 days back
available for hire
age 23 years
on the service 1 year
Rating
Successful projects
Average rating
Skills and abilities
Programming
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Databases & SQL
from 87 USD for project
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Python
from 58 USD for project
Services
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Data Processing
from 87 USD for project
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Information Gathering
from 29 USD for project
Portfolio
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Data analysis using R and Sparklyr packages
Databases & SQL
This project focuses on data analysis using R and Sparklyr packages for various tasks such as data preparation, exploratory analysis, modeling, and evaluation.
It includes the following stages:
Data preparation: Reading data from a CSV file, cleaning and transforming data for analysis.
Exploratory Data Analysis (EDA): Visualizing and analyzing different data characteristics to gain insights.
… Modeling: Building and training various machine learning models such as logistic regression, random forest, gradient boosting, etc.
Model evaluation: Assessing model performance on test data using metrics such as accuracy, AUC (area under the ROC curve), etc.
Feature importance: Analyzing the importance of features in models to determine the impact of each feature on the predicted outcome.
Cross-validation check: Using cross-validation to evaluate the overall performance of the model on different data sets.
Integration with H2O: Using the H2O platform to build and evaluate gradient boosting models.
This project may be useful for data analysts and researchers who want to conduct comprehensive data analysis and develop prediction models using R and Sparklyr.
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Creating a database Cofetaria in MongoDB
Databases & SQL
The Cofetaria database is created to manage the operations of the confectionery. It covers the following key aspects:
Employees: Stores data about personnel, including contact information, dates of employment, and salaries.
Clients: Contains clients' contact information and their order history, improving service and interaction.
Suppliers: Information about suppliers and their products helps maintain proper inventory levels.
… Products and categories: Organizing the range of goods, inventory management, and classification.
Orders and details: Tracking and analyzing orders to ensure accuracy and timely fulfillment.
Deliveries: Monitoring delivery processes for quality customer service.
This database effectively supports all aspects of confectionery operations, contributing to work optimization and service quality improvement.
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Creating the database Cofetaria in SQL
Databases & SQL
The Cofetaria database is created to manage the operations of the confectionery. It covers the following key aspects:
Employees: Stores data about personnel, including contact information, dates of employment, and salaries.
Clients: Contains clients' contact information and their order history, improving service and interaction.
Suppliers: Information about suppliers and their products helps maintain proper inventory levels.
… Products and categories: Organizing the range of goods, inventory management, and classification.
Orders and details: Tracking and analyzing orders to ensure accuracy and timely fulfillment.
Deliveries: Monitoring delivery processes for quality customer service.
This database effectively supports all aspects of confectionery operations, optimizing work and improving service quality.
Activity
| Latest proposals 1 | Budget | Added | Deadlines | Proposal | |
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Compile a list of YouTubers, Instagrammers, TikTokers
47 USD
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