Yaroslav Dmytriiev
Private message 
Offer work 
Kyiv,
Ukraine
available for hire
Rating
Language proficiency level
Українська: fluent
Русский: fluent
English: advanced
Latviešu: pre-intermediate
CV
Hi! I build Python solutions for web scraping, automation, Telegram bots, API integrations, and data processing.
I help businesses collect data from websites, marketplaces, public registers, Google Sheets, CRM systems, and APIs, clean it, structure it, and turn it into ready-to-use tables, databases, dashboards, or automated workflows.
What I can do:
- web scraping for websites, catalogs, marketplaces, public registers, and open data sources;
- automatic updates for Google Sheets, Excel, CSV, XML, JSON, or databases;
- Telegram bots for notifications, monitoring, subscriptions, and internal workflows;
- API integrations, ETL pipelines, and large-scale data processing;
- financial analytics, scoring models, Power BI / Tableau / SQL dashboards;
- automation of repetitive Python-based tasks.
Tech stack: Python, Requests, BeautifulSoup, Selenium, Playwright, pandas, SQL, PostgreSQL, MySQL, Power BI, Tableau, REST API, Git.
Experience:
- PUMB: credit scoring models, ETL processes, Power BI dashboards, customer behavior forecasting;
- ASOTO LV: financial analytics, budget forecasting, performance dashboards;
- crypto project: transaction data analysis, custom dashboards, CeFi/DeFi product analytics;
- freelance projects: parsers, Telegram bots, APIs, spreadsheet automation, and data processing workflows.
How I work:
1. I clarify data sources, output format, update frequency, and success criteria.
2. I show an intermediate result early, so the budget is not spent in the wrong direction.
3. I deliver a working solution with launch instructions, data structure, and logic explanation.
4. If needed, I help with support, improvements, and scaling.
You can find my work in the portfolio and on GitHub:
https://github.com/dmytriievyaroslav/Fuzzy-Optimization-in-Ecological-Economic-Models
https://github.com/dmytriievyaroslav/parsing-ministry-of-justice-of-the-slovak-republic-commercial-register-database
If you need a parser, bot, automation, or analytics solution, message me. I will suggest a clear plan, timeline, and budget.
Skills and abilities
Programming
Services
Administration
Outsourcing & consulting
Portfolio
-
113 USD PDF metadata editing tool
Python
Custom tool for full editing of PDF document metadata. Allows modifying all available metadata fields, including creation dates, authorship, and document identifiers.
#pdf #automation #python #desktop_app #metadata #file_processing
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466 USD Subscription-based Telegram bot with access control
Bot Development
Telegram bot developed to manage paid access to content. Implemented payment integration, subscription lifecycle management, automated access control, and admin tools for managing users and subscriptions.
#telegram_bot #python #payment_integration #subscription #automation #backend
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1693 USD Used car market analytics platform
Data Parsing
Backend development of a used car market analytics platform. Implemented APIs and database architecture for analytical queries, along with a custom parser to collect, clean, deduplicate, and keep listings up to date.
#data_analytics #python #backend #parsing #data_processing #postgresql #api
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349 USD Data collection from the Slovak Ministry of Justice register
Data Parsing
Development of a Python script for automating the collection of data from the Commercial Register of the Slovak Ministry of Justice.
The script uses:
… requests for fetching web pages,
BeautifulSoup for parsing HTML,
ThreadPoolExecutor for multithreading and speeding up the process,
xlsxwriter and openpyxl for saving data in Excel format.
Key Tasks:
Overcome the website’s limitation on the number of records returned per query.
Implement an iterative and optimized data scraping process.
Results:
Successfully collected and processed over 300,000 records.
The solution demonstrated high scalability and reliability.
Data was prepared in a format convenient for analysis.
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1281 USD Optimization of Ecological Models Using Fuzzy Logic
Python
This project was completed for a client to optimize an ecological-economic model using advanced mathematical methods and tools. Fuzzy logic was integrated into the Leontief-Ford model through linear programming and data visualization techniques.
Key Tasks:
… Implement optimization using fuzzy set theory.
Analyze the impact of fuzziness on decision-making processes.
Develop analytical tools for evaluating environmental strategies.
Methodology:
NumPy for numerical computations,
SciPy for linear programming,
matplotlib and mpl_toolkits.mplot3d for visualizing results.
Designed algorithms to handle multidimensional data and complex membership functions.
Tested algorithms on real-world ecological datasets.
Results:
Delivered efficient algorithms leveraging fuzzy logic.
Enhanced the robustness of models and their ability to account for uncertainty.
Produced clear visualizations to simplify data analysis.
Reviews and compliments on completed projects 1
14 March 2025
34 USD
Consultation on financial scoring
Yaroslav gave a very informative consultation on financial scoring and risk analysis. I hope we will work with Yaroslav in the future!
Activity
| Latest proposals 10 | Budget | Added | Deadlines | Proposal | |
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Parsing a European website with a large number of products
113 USD
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Parser with sending to TG bot
34 USD
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Parsing competitor prices
271 USD
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Refinement and launch of a CS:GO gambling site
226 USD
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Integration of the bot in SendPulse with CRM NetHunt for automatic synchronization of statuses
113 USD
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Chat bot in Telegram
65 USD
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DEVELOPER OF TELEGRAM BOT
1129 USD
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Automation of parsing court hearing websites
200 USD
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UX Architect / Development of an Educational Platform
113 USD
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Perform the layout of the landing page from FIGMA with the theme - "Consulting Program"
181 USD
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