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Schedule Interview NowMy name is Matvei K. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, PostgreSQL, Django, Online Research, Data Entry, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), . Some of the notable projects I’ve worked on include: TikTok Ads Scraping, Searching & Extraction leaked data from specific websites, Real Estate websites Data Extraction & Analysys, Scraping Consulate Websites. I am based in Istanbul, Turkey. I've successfully completed 4 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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I am excited to share the details of a project I have recently completed, which involved the development of a web scraper specifically designed for extracting advertisements from the TikTok application. The primary objective of this project was to analyze popular topics in dropshipping trading and enhance the purchase price/profit ratio. I aimed to provide my clients with a powerful tool that would enable them to gain insights and improve their trading strategies. To achieve this goal, I followed a well-defined process. In the first step, I wrote a script using specific software such as ZennoDroid (a Windows app for automating Android emulation), MeMU play (an Android OS emulator), and languages such as C# and JavaScript. This script allowed me to automate the process of extracting advertisements from the TikTok application. The second step involved developing an API using the Django REST Framework. This API facilitated seamless interaction between the web scraper bot and the server, enabling the extracted TikTok clips to be sent to the server for further analysis. This integration ensured that my clients could access and utilize the extracted data effectively. The final step of the project involved overcoming various challenges, including bypassing TikTok captchas, handling random pop-ups that interfered with the script's execution, and resolving other difficulties that arose during the development process. By implementing robust solutions, I ensured that the web scraper could perform its tasks uninterrupted and deliver accurate and reliable results. I am pleased to announce the successful completion of this project, and I have provided the code to my esteemed client. The solution I have developed offers a comprehensive and efficient means of analyzing popular topics in dropshipping trading through the extraction of TikTok advertisements. This empowers my clients to make informed decisions and optimize their purchase price/profit ratio. For future clients seeking a reliable and effective web scraper solution for TikTok advertisement extraction and analysis, I am confident that my expertise and experience make me the ideal partner. Please feel free to reach out to me for further information or to request a demonstration of the completed project.
I am thrilled to present a project I have recently completed, which involved the development of a Python Selenium bot for a data security company. The main objective of this project was to create a robust solution that could extract data leaks from specific websites known for their association with hacker communities. I wanted to provide my clients with a powerful tool that could enhance their data security measures. To accomplish this goal, I followed a well-structured approach. The first step entailed writing a script that could extract the necessary data while bypassing the Cloudflare bot protection implemented by these websites. This ensured that my clients could access the data they needed without any interruptions. The second step involved the development of a comprehensive dashboard for data analysis. Leveraging my expertise in Python Django, the Django REST API Framework, and various visualization libraries, I created a visually appealing and user-friendly dashboard. The dashboard included specific analytic graphics that enabled my clients to gain valuable insights from the extracted data. This empowered them to make informed decisions and strengthen their data security strategies. In addition to the extraction and analysis components, I focused on ensuring uninterrupted script execution. By implementing robust error handling and extensive testing, I ensured that the script could run continuously without any crashes or interruptions. This allowed my clients to rely on the solution for ongoing monitoring and data extraction. I am delighted to announce the successful completion of this project, and I have provided the finalized code to my esteemed client. The solution I have developed provides a powerful means of identifying and addressing data leaks associated with the hacker community, reinforcing data security measures for my clients. For future clients seeking a dependable and efficient solution for detecting data leaks and bolstering their data security, I am confident that my expertise and experience make me the ideal partner. Please feel free to contact me for further information or to request a demonstration of the completed solution.
I am excited to share the details of my latest project, which involved the development of a Python Selenium bot to extract data from a specific real estate website. The primary objective was to provide my clients with a comprehensive solution that would streamline their data extraction process. In addition, I aimed to create a powerful data analysis dashboard using Python Django and the Django REST API Framework. To achieve these goals, I followed a two-step approach. Firstly, I wrote a script in Python that efficiently extracted the required data from the designated real estate website. By leveraging the automation capabilities of Selenium, I ensured that the extraction process was accurate and reliable, enabling my clients to save significant time and effort. The second step involved the development of a feature-rich and user-friendly dashboard for in-depth data analysis. Leveraging my expertise in Python Django and the Django REST API Framework, I created an intuitive dashboard that empowered my clients to gain valuable insights from the extracted real estate data. The dashboard offers a range of functionalities, allowing clients to visualize and analyze the data with ease. Throughout the project, I placed a strong emphasis on quality, efficiency, and usability. Rigorous testing was conducted to ensure seamless integration and a smooth user experience. I also followed industry best practices to ensure that the codebase was clean, maintainable, and scalable. I am delighted to announce the successful completion of this project, and I have provided the final code to my esteemed client. The solution I have developed offers a cutting-edge approach to real estate data extraction and analysis, providing my clients with a distinct competitive advantage in their respective markets. For future clients in need of a high-quality and reliable solution for real estate data extraction and analysis, I am confident that my expertise and experience make me the ideal partner. Please do not hesitate to contact me for further information or to request a live demonstration of my solution.
The primary goal of the project was to create a comprehensive list of the most active residential property developers in each local district. This project can be succinctly described as "Lead Generation." Through a meticulous scraping process, I collected valuable data from approximately 30 council websites, resulting in thousands of contact details for individuals with specific specializations. To accomplish this task efficiently and effectively, I opted for the powerful combination of Python Selenium and Beautiful Soup. Python Selenium provided the automation capabilities necessary for navigating and interacting with the council websites, while Beautiful Soup facilitated the extraction of relevant data from the web pages. By utilizing Python Selenium, I was able to automate the process of browsing through each council's site, locating the desired information, and extracting the necessary contact details. This approach significantly reduced the time and effort required to gather the data, providing my clients with an invaluable resource for lead generation. In addition to the lead generation aspect, I ensured the accuracy and reliability of the scraped data. Thorough testing and validation were conducted to confirm the integrity of the extracted contact information, giving my clients confidence in the quality of the data. The completed project offers a comprehensive list of the most active residential property developers in each local district, accompanied by their contact details. This valuable resource empowers businesses and professionals in the real estate industry to connect with potential partners and explore new opportunities.
Bachelor of Computer Science (BCompSc) in Computer science
2018-01-01-2022-01-01
in Mathematics and IT
2016-01-01-2018-01-01