Hire the Best Data Scientists
in Ukraine

Need a web scraping expert who can also build the backend around your data? I have 5 years of experience solving difficult extraction tasks, browser automation (Selenium, Playwright), session/cookies. I’ve built scrapers and data pipelines for different websites, where scraping is allowed. I always keep terms of service and do ethical scraping. I can deliver results in CSV, Excel, Google Sheets, send to your API, or ship the scraper itself. Just write me! Recent projects: • Scraped 200k car listings for an ML price prediction model using multiprocessing. • Built a content-harvesting backend (pipelines + Google Drive/Sheets) used in production. • Led a Django project that scrapes 100k+ content items (videos, articles, etc.) per week. • Developed an internal Python library for PostgreSQL via asynchronous SQLAlchemy. • Reviewed and fixed a client’s FastAPI project to improve reliability and speed. • Built automation tools for various websites. • Scraped transcripts for YouTube via an official YouTube API. Tech stack: • Python 3.12+, SQL; asyncio and multiprocessing for fast crawling • Scraping: Beautiful Soup, Scrapy, aiohttp, requests; Selenium, Playwright; HTML, CSS, XPath, JSON, • Backend: FastAPI, Django; JWT, OAuth2; PostgreSQL, SQLAlchemy (sync/async), SQLite, Alembic; Redis • Data & automation: Pandas, NumPy; Google Sheets/Drive; Telegram API (Telethon, python-telegram-bot); OpenAI GPT API • Dev & ops: Docker, CI/CD, GitLab, GitHub; pytest If you need parsing, scraping, crawling, data extraction, data mining, or an automation script, just send 1-2 target URLs and a sample of the desired output columns. I’ll propose the best approach, the anti-bot plan, and a quick prototype. I always keep the terms of service. I also handle data cleaning and enrichment with Pandas, plus ETL pipelines, so you get ready to use datasets. As a Python developer who cares about code quality, I write clean, readable code that follows PEP8 and OOP principles, and I cover key parts with tests for long-term stability. Send me a brief description and technical requirements of your project, and I’ll solve your problem!

I am a Top-Rated Data Scientist and Researcher with a PhD in Remote Sensing and over 15 years of experience delivering high-performance R&D solutions for industrial, academic, and enterprise sectors. I specialize in bridging the gap between raw, noisy data and actionable business objectives, transforming complex signals into deployable machine learning pipelines. Whether it's developing novel diagnostic algorithms, predicting physical parameters from multi-channel data, or building advanced event-detection models, I design end-to-end architectures that solve complex, non-standard problems. My Recent R&D Successes Include: - Time-Series & High-Frequency Data: Engineered robust detection models for electric and water appliances using high-frequency data, providing highly accurate recognition pipelines. - Computer Vision & Remote Sensing: Developed predictive models for physical and nutritional parameters using hyperspectral imaging. - SOTA AI Implementation: Investigated and deployed ready-to-production State-of-the-Art (SOTA) AI/ML solutions based on advanced Kaggle competition methodologies. - Biomedical Data: Deep sleep data visualization and advanced processing for physiological monitoring. How I Help Businesses: - End-to-End Problem Solving: I handle the entire pipeline—from raw data evaluation, advanced feature engineering (using communication theory), to hyperparameter optimization and rigorous out-of-fold validation. - Advanced Digital Signal Processing (DSP): Extracting critical insights from 1D/2D signals, including noise assessment, filtering, and compression. - Deployable ML Architectures: Building predictive models with PyTorch, XGBoost, and OpenCV, optimized for real-world integration. Recognized Expertise: - Upwork Skill Certified in Data Science & Data Analytics - AWS Certified Machine Learning & Cloud Foundations - Author of 100+ Scopus-indexed publications (h-index: 14) - Tech Stack: Python (PyTorch, SciPy, Scikit-Learn, OpenCV), MATLAB, Signal Filtering, Multivariate Statistics, SQL, Cloud Computing (AWS).

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐓𝐨𝐩 𝟏% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 I am an AI/ML Engineer with extensive experience in Machine Learning, Deep Learning, and Computer Vision, applying these technologies to real-world problems in diverse industries. My work focuses on the full lifecycle of Machine Learning solutions, from data acquisition and preprocessing to model training, evaluation, optimization, and deployment. I have over 15 years in software development and more than 7 years delivering production-grade Artificial Intelligence systems, with core expertise in Python, TensorFlow, OpenCV, Keras, and image processing. My specialization in Computer Vision covers image classification, object detection, object tracking, image segmentation, and pose estimation. I have delivered Computer Vision solutions for sports analytics, satellite imagery analysis, automated parking systems, industrial inspection, and security surveillance. I use OpenCV, TensorFlow, and Keras extensively to build robust image processing pipelines, integrating preprocessing, feature extraction, and model inference. By combining Deep Learning and Deep Neural Network Scripting with traditional image processing techniques, I ensure scalable and reliable outcomes. In Machine Learning, I design and implement algorithms for predictive analytics, time-series forecasting, anomaly detection, and digital signal processing. I have built models for structured and unstructured data, leveraging Python-based libraries to create reproducible, maintainable workflows. My expertise spans supervised, unsupervised, and reinforcement learning, with model performance tuned through hyperparameter optimization and cross-validation. I apply industry-standard evaluation metrics to ensure model accuracy and stability in production environments. My AI portfolio also includes projects in Natural Language Processing, ranging from sentiment analysis and text classification to entity recognition and contextual embeddings. These solutions have been deployed in customer support automation, content moderation, and document intelligence systems, integrating language models with domain-specific data for maximum accuracy. My Computer Vision work often integrates Convolutional Neural Networks (CNNs) and other neural architectures implemented in TensorFlow, Keras, and PyTorch. I develop custom CNNs for specialized vision tasks and deploy them into production systems with GPU acceleration. I have experience building multi-stage pipelines combining OpenCV for preprocessing with Deep Learning inference models for real-time video analysis. My solutions have included multi-camera tracking, 3D pose reconstruction, and visual quality control systems. In image processing, I work with still images and video streams, applying transformations, filtering, feature detection, and geometric corrections. I optimize pipelines using tools such as FFmpeg and MoviePy, enabling efficient processing at scale. My background includes developing algorithms for illumination correction, background subtraction, and high-speed video frame analysis. My Artificial Intelligence projects integrate Machine Learning and Computer Vision into broader systems. These include AI-powered web applications, embedded systems for edge AI, and cloud-based analytics platforms. I have built REST APIs using Python frameworks for serving AI models, integrating them with frontend applications in JavaScript and with third-party systems via secure endpoints. I implement MLOps practices, including containerized deployments with Docker, CI/CD pipelines, and model monitoring. I maintain strong expertise in data science and statistical analysis. I work with large datasets, ensuring correct data labeling, cleaning, and augmentation. I apply mathematical foundations to design efficient Machine Learning architectures. My workflow includes using Python’s scientific stack (NumPy, pandas, SciPy, scikit-learn) alongside TensorFlow, Keras, and OpenCV to create cohesive solutions. I focus on efficient data processing, AI model lifecycle management, and scalable software architecture. I design systems that optimize computational resources, use parallel processing for performance gains, and support integration with renewable energy-aware compute platforms when required. My solutions incorporate automation for data workflows, reducing manual intervention and ensuring sustainable, repeatable processes. If you are seeking an AI/ML specialist with proven experience in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, image processing, and Deep Neural Network Scripting in Python-based development, I can deliver solutions that meet performance, scalability, and maintainability requirements.

Data Scientist (data collection, data entry)Audio Recording (there are many drops) Igaming industry ,professional scanning Open for any kind of work

IT Recruiter & Talent Sourcer with 3+ years of experience helping international companies find and hire top technical talent across Europe and remote markets. My expertise lies in proactive sourcing and building strong talent pipelines for technical roles. I enjoy the challenge of identifying hard-to-find candidates, engaging passive talent, and supporting hiring teams in building high-performing engineering teams. Over the past few years, I have worked with international recruitment teams and supported hiring processes for technical positions through candidate sourcing, screening, and interview coordination. I actively use tools such as LinkedIn Recruiter, Boolean Search, X-Ray search, and AmazingHiring to identify and engage the right candidates. I am passionate about recruitment because it allows me to connect talented professionals with opportunities where they can grow and create impact. Areas of expertise: • IT Recruitment • Talent Sourcing & Headhunting • LinkedIn Recruiting • Boolean & X-Ray Search • Candidate Screening • Talent Pipeline Building • ATS (Greenhouse) • AmazingHiring I am always open to connecting with professionals in the tech industry and discussing recruitment, talent sourcing, and hiring trends. IT Recruiter | Talent Sourcer | Technical Recruiter | Tech Recruiting | Talent Acquisition | LinkedIn Recruiter | Boolean Search | Candidate Sourcing | Engineering Recruitment

As the Founder and Owner of a successful Zoho solutions business, I bring 10+ years of hands-on experience with Zoho and 20+ years in app, web, and database development across dozens of industries. I understand the challenges founders face—manual processes, inefficient workflows, and lack of system integration—and I design solutions that save time, increase productivity, and drive growth. I specialize in implementing, customizing, and expanding Zoho applications to meet the unique needs of your business. From custom Zoho CRM development to complex integrations via APIs, Zapier, or Make, I create systems that align perfectly with how you work. My goal is to automate your sales, marketing, and business processes while standardizing workflows for maximum efficiency. Zoho Expertise: ✅ Zoho One | ZeptoMail | Zoho CRM | Zoho Flow | Zoho Desk | Zoho Analytics ✅ Zoho Books | Zoho Inventory | Zoho Creator | Zoho Recruit & Zoho People ✅ Zoho Subscriptions | Orchestly | Zoho Catalyst | Custom API Integrations What I Deliver: Fully customized Zoho workflows that match your business processes Automation of repetitive tasks to free up your team’s time Custom modules, fields, views, and filters to make Zoho work the way you do Seamless integrations across Zoho apps and external systems As a founder myself, I know what it takes to scale a business efficiently. Let’s work together to unlock the full potential of Zoho for your business, automate your operations, and drive measurable results.