Hire the Best Data Scientists
in Estonia

"I'm a Microsoft Certified Data Scientist with 7 years of experience in Data Science and Machine Learning, and 20+ years in software development. While I’m new to Upwork, I have worked with industry leaders such as the European Central Bank, Santander Bank, Deutsche Bahn, and RTL Deutschland, delivering high-impact solutions. How I Can Help You: - AI & ML-Powered Applications – Automate business processes with cutting-edge machine learning models. - Intelligent Search & Hybrid RAG Applications – Enhance data retrieval with semantic, text, and graph search technologies. - Knowledge Extraction – Structure and extract insights from your internal knowledge base. - Cloud Deployment – Deploy, scale, and optimize your AI/ML applications on Microsoft Azure or AWS. - Results-Driven Approach – I hold myself to high standards to ensure your project’s success. Technical Expertise: - Programming: Python (FastAPI, asyncio, OOP), ML libraries (Scikit-learn, Pandas, PyTorch). - Gen AI Development: LangChain, Hugging Face. - Databases: SQL (PostgreSQL), NoSQL (Elasticsearch, MongoDB, Neo4j). - Cloud AI/ML Services: Microsoft Azure AI/ML, AWS Bedrock. Introductory Rate: To build my Upwork presence, I’m offering an introductory rate of $60/hour (normally $90). This gives you access to top-tier expertise at a fraction of the cost. Let's discuss how I can bring value to your project!"

🌟 Introduction: Hi, I'm Rain Padjus, a Machine Learning Engineer from Tallinn, Estonia. 🔍 Core Skills: - Data Analysis & Visualization: Python, C/C++, Pandas, Matplotlib, Seaborn. - Machine Learning & AI: Scikit-learn, NumPy, PyTorch, Fastai, NLTK, RAGs, LLamaindex, Ollama, Local LLMs, Finetuning, LangChain. 🚀 Projects: - Smart RAG System Over Complex Files: (RAG, LLamaindex, Local LLMS, ollama) - OpenAI API with Voice Assistance on Call: (Python, ChatGPT API, VoIP API) - Vision Transformer Implementation: (GitHub dataset) - Text Parsing and Analysis Tool: (Streamlit, Langchain, OPENai API) - Data Analytics at Ericsson: Enhancing decision-making and process optimization. - E-Learning Platform Enhancement: Machine learning for user engagement. - Advanced Chatbot Development: NLP and AI integration. 📚 Education: - Bachelor’s in Computer Science, Peter the Great St. Petersburg Polytechnic University. - Continuous learning: NLP (Lena Voita), Practical DL (Fast.ai), Missed CS Semester (MIT). 💼 What I Offer: - In-depth data analysis, visualization, and preprocessing. - Deep learning model development and fine-tuning. - Predictive modeling and complex problem-solving algorithms. Looking forward to bringing my deep learning and AI expertise to your projects, turning data into actionable insights.

As a Data/Platform/Cloud-Intensive Engineer, my expertise lies in recognizing, choosing, and creating effective data systems and pipelines. These systems enable smooth and secure data flow throughout all processes, empowering data-driven decision-making. Throughout my career, I have successfully overseen data management and business analytics tools tailored to meet the specific needs and challenges of the company. By integrating these tools with data warehouses, I have ensured efficient organization and accessibility of information. My professional journey has been marked by involvement in projects that converge data science, data analytics, and data engineering. Notably, I have designed and maintained prediction systems that unveil hidden insights and offer valuable solutions to drive the company's growth and stability. In pursuit of excellence, I leverage cloud technologies such as GCP and AWS, alongside DevOps best practices, for all my data projects. My proficiency in troubleshooting allows me to swiftly identify and implement solutions, ensuring timely project delivery.

I build Python-first Data Science and AI systems that turn messy data into reliable predictions. I can deliver notebooks, dashboards (streamlit/Gradio/ Tabeau/ Power BI), and production-ready APIs. What you can hire me for • Classical ML and forecasting: EDA → feature engineering → training/tuning → evaluation, plus time series forecasting with interpretable trend/seasonality. • NLP with Transformers: BERT/RoBERTa fine-tuning, dataset prep, evaluation, error analysis, and practical deployment. • LLM Multi Agent systems: RAG pipelines, tool calling, structured outputs, agent orchestration, and output validation so it’s reliable. • Production delivery: FastAPI endpoints, SQL-backed pipelines, Docker, CI/CD-oriented workflows, reproducibility and clean code. Honors & Awards • Finalist, MumbaiHacks2025 (India) — the largest Agentic AI hackathon (20,000+ registrations) [2025] • Completed Data Analyst training program, Kreativstorm (Python, R, IBM SPSS) [2024] • Awarded Performance Stipend, University of Tartu, for excellent academic results [2021] • INSPIRE Fellowship (India) — National Merit Award for top 1% students in Natural Sciences [2016–2021] Tech stack (Python-centered) - Python: Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, FastAPI - LLM tooling: LangChain, LangGraph, HuggingFace, Google ADK, Google AI Studio, OpenAI, Gemini - Data: PostgreSQL, SQLite, complex joins, CTEs, window functions - MLOps and infra: Docker, GitHub Actions, DVC, cloud deployments (AWS/GCP), reproducible pipelines - Visualization: Matplotlib, Streamlit, Tableau, Power BI How I work - I start by clarifying the objective and success metrics - I deliver in milestones with quick prototypes first, then harden into production quality - I prioritize reproducibility, documentation, and evaluation so the system stays maintainable Background - PhD candidate (Particle Physics), trained in rigorous quantitative modeling and building high-precision algorithms - Strong communication: I’m comfortable translating technical results into clear decisions for stakeholders If you share your dataset, current pipeline, and the outcome you want (prediction, LLM assistant, dashboard, or API), I can suggest a clean plan and deliverables for the first milestone.

My name is Thomas, Highly skilled Full-Stack Developer and Data Scientist with over 6 years of experience in building robust web applications and implementing advanced data analysis techniques. Proficient in modern web technologies and frameworks, and experienced in machine learning, deep learning, computer vision, and natural language processing. Passionate about leveraging technology to solve complex problems and deliver high-quality, scalable solutions.