Микола Іванович
Резюме DATA ENGINEER / BI ENGINEER – 2 500 $
12 марта 2024 г.Одесса
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- Вид занятостиудалённая работа
Цель: Новий цікавий проект Новий виклик. Щось новеньке. :)
Опыт работы
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Odessa National Polytechnic University
Ph.D, Assistant professor . Disciplines: Computer visualization. Data Engineering. Visualization and modeling of multidimensional. data.
18.04.2014 – defended thesis and received the degree of PhD. Thesis: Models and tools for design automation of comfortable microclimate systems in inhabited premises.
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Digitally Inspired Ltd (Intellias)
Data Engineer / Business Intelligence Developer. Project description
The client was an American company specializing in the business aviation sector. The client hired a skilled engineering team to implement software that enabled full control over the company's operations. The software included features for monitoring flights, managing clients and contracts, and streamlining operational processes. The project scope involved the creation of frontend and backend parts of software, as well as a database, the creation data warehouse, and fine-tuning all the processes for its full operation.
Responsibilities & Achievements
• Built a comprehensive ETL cycle for data transfer
• Developed all data and business intelligence (BI) processes
• Visualized and presented findings to key stakeholders
• Built and customized BI reports
• Built and customized Ad-hoc reports
• Developed and maintained dashboards
• Data analysis to find dependencies and improve the quality of visualized data. - –
VeraData Decision Labs
Data Engineer / Data Analyst. Project description
Our team worked on a project for charitable foundations based in the US, with a focus on data management and predictive analytics. Our responsibilities included building and implementing processes for ETL and data warehousing, as well as collecting data from various sources. Development of dashboards and reports based on modeling results.
Responsibilities & Achievements
• Enhanced the predictive model through the implementation of the SVM model and improved its accuracy and performance
• Implemented all data-related processes
• Built predictive models for clients
• Processed data from multiple sources
• Created reports and dashboards for clients
The technology stack used
Alteryx, Tableau, MS Excel, SQL, Python (numpy, pandas, scikit-learn, matplotlib), Machine Learning Algorithms.
Образование
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CAD systems.
Odesa National Polytechnic University, Odesa, Ukraine Ph.D. in CAD systems. - –
Інформаційні системи та технології.
ІКС Спеціаліст з інформаційних систем та технологій.