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We work together, so the directions and complexity of the projects are different.
Key projects: Python + machine learning, forecasting and analytics; performance of student and postgraduate works in natural sciences and information technologies.
Python: machine learning and AI: TensorFlow, Scikit-learn, PyTorch. frameworks: Flask, Django, FastAPI, Dash databases: SQLite, PostgreSQL, MySQL, Oracle message brokers: Rabbit MQ, Kafka graphical desktop interface: PyQt visualization: MatPlotlib, Seaborn, Plotly constant use in projects: pandas, NumPy, SciPy, statsmodels, asyncio project deployment and collaboration: Docker, GitHub, GitLab focus of projects: analysis of texts data analysis and search for dependencies classification and clustering mathematical modeling API creation creation and integration of applications for RaspberryPi
Other programming languages: Java (desktop and mobile applications).
Other software tools: MatLab (Simulink, SimEvents) Arena Simulation CPN Tools
Student and postgraduate theses for ukrainian and foreign universities: Information Technology mathematics and modeling, mathematical physics finances Languages: Ukrainian and English.
Text and layout processors: Word, CorelDraw, LaTex.
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Since 2017, I have been actively working in the field of big data (ML Engineering, Data Engineering and Backend Engineering) using Python and Java. During this time, I implemented several fairly loaded services up to 1000 rps, using microservice architecture and machine learning.
Among them are a project for a marketing company to analyse spam, a recommendation service for online stores, and the collection and storage of data on user behaviour on the site. I also worked in teams creating data warehouses and datamarts for prominent clients such as PepsiCo, Deloitte, and Appen, with a storage capacity of several terabytes.
I’ve been studying algorithms for optimal downloading data from different sources, computing big data, and storing big data.
I constantly study new technologies to understand better how they can benefit businesses. My strengths are intensive study of technologies, optimisation of bottlenecks in the project, if necessary, starting a project from scratch and forming a team for the project.
I have 16 years of experience in IT.
Started out as a PHP developer. Since 2008, I have switched to launching my own startups. These were mainly online projects for agricultural businesses, as well as in the gaming field.
In 2010, my company in Kyiv held gaming conferences well-known in all CIS.
However, over time, I lost interest in management activities and decided to return to direct development.
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1. What I can do
I specialize in statistical analysis using the following tools: R language, PowerBI, Microsoft SQL, SPSS, and Excel.
2. What I know
My knowledge base includes all aspects of statistics and probability theory, ranging from fundamental concepts to the application of machine learning methods for creating statistical models.
3. Tasks I can solve
I can handle a wide range of tasks, from simple data visualization in PowerBI to comprehensive data analysis, including building forecasting models and testing hypotheses.
4. My experience
Before Freelancehunt, I worked on a Ukrainian freelance platform on Telegram, completing around 350 orders with 300 reviews. If desired, I can provide all these reviews.
5. Key phrases of your tasks that I can easily solve
Time series analysis.
Time series forecasting.
Clustering (creating classes based on variable similarity).
Classification (building models for predicting categorical variables).
Correlation and regression analysis (finding relationships and testing their significance, followed by regression modeling).
Building dashboards in PowerBI.
And so on...
Additionally, if you have data that you're unsure how to handle but would like to discover interesting trends and patterns, you can turn to me.
6. Languages of communication
Ukrainian (native).
Russian (fluent).
English (advanced).
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