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YaroslavShved25/README.md

Welcome to My GitHub Profile

Senior Data Scientist | AI/ML Engineer | Full-Stack Developer | Automation & Web Scraping Expert

💬 About Me

I’m Yaroslav Shved, a versatile and results-driven Senior Data Scientist, AI/ML Engineer, and Full-Stack Developer with over 10 years of experience in data-driven solutions, workflow automation, and scalable web applications.

I specialize in:

  • AI & Machine Learning
  • Natural Language Processing (NLP)
  • Data Scraping & Automation
  • ETL & Database Management
  • Full-Stack Development (MERN Stack)

I bring deep technical expertise, clean coding standards, and a strong business focus to help organizations unlock the value of their data and build high-performance applications.

🔧 Core Skills & Technologies

📊 Data Science & Machine Learning

  • TensorFlow, Keras, PyTorch, HuggingFace
  • NLP libraries: NLTK, SpaCy, Gensim
  • Sentiment Analysis, Text Summarization, Entity Recognition
  • Predictive Modeling, Image Processing, Deep Learning

🔄 Data Scraping & Automation

  • Selenium, BeautifulSoup, Scrapy, BrightData API
  • Web Scraping & Parsing (complex, dynamic websites)
  • Data Pipeline Automation & Process Orchestration

🔗 Data Engineering & ETL

  • Robust ETL pipelines, data transformation, database migration
  • Optical Character Recognition (OCR) using Tesseract
  • API Development & Integration
  • Database management: MongoDB, PostgreSQL, MySQL

🖥 Full-Stack Web Development (MERN)

  • Frontend: React, Redux, HTML, CSS, JavaScript
  • Backend: Node.js, Express.js
  • Responsive UI/UX, cross-browser compatibility
  • RESTful API design & integration

🛠 Additional Tools & Libraries

  • NumPy, Pandas, OpenCV, PIL
  • Git (GitHub, Bitbucket), Agile methodologies
  • Cloud Platforms: AWS, GCP, Azure

🚀 Achievements

  • 📊 Improved churn prediction accuracy by 20%, boosting customer retention by 15%
  • 🛍 Developed a market intelligence scraper that increased sales by 10%
  • 🎯 Built a collaborative filtering-based recommender system, improving user engagement by 30%
  • 💻 Delivered multiple full-stack MERN applications with seamless front-end and back-end integration

📂 Featured Projects

  • ✅ End-to-End AI/ML Pipelines
  • ✅ NLP-based Text Analysis Tools
  • ✅ Web Scraping Solutions for Real-Time Market Intelligence
  • ✅ Full-Stack MERN Applications with Responsive Design

👉 Check my repositories to explore more!

📫 Contact

🛠️ Tools & Frameworks

Python

TensorFlow

Keras

NumPy

HuggingFace

React

Node.js

MongoDB

BeautifulSoup

Selenium

AWS

GCP

Git



🤝 Let’s Connect

If you need a trusted partner to build AI solutions, automate workflows, or develop scalable web applications, let’s connect. I’m ready to deliver results and grow together.

Popular repositories Loading

  1. YaroslavShved25 YaroslavShved25 Public

  2. Scraping_Motion Scraping_Motion Public

    This project is a Python-based web scraper designed to automatically extract product categories and subcategories from motion.com using Selenium WebDriver and undetected-chromedriver.

    Python

  3. SimilarTech-API-Integration-with-n8n SimilarTech-API-Integration-with-n8n Public

    This project delivers a turnkey n8n workflow that seamlessly extracts, processes, and structures data from the SimilarTech API for effortless downstream analytics.

  4. LSTM-Based-Trading-Signal-System LSTM-Based-Trading-Signal-System Public

    LSTM-Based Trading Signal System

    Jupyter Notebook

  5. -Resume-Parser-Service-NLP- -Resume-Parser-Service-NLP- Public

    A **GPT-3 based Resume Parser REST API** that converts resume PDFs into clean, structured JSON files. This service accurately extracts key fields such as contact information, education, job experi…

    Python

  6. Streamlit_Flask_House_Price_Prediction_with_Scikitlearn Streamlit_Flask_House_Price_Prediction_with_Scikitlearn Public

    This project is a Machine Learning-based House Price Predictor trained on a tabular house price dataset using the powerful XGBRegressor model.

    Jupyter Notebook