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I build data-driven web applications and dashboards using Python, FastAPI, and Django. My focus is on turning complex data into intuitive visual insights and integrating AI capabilities to make your systems smarter. I specialize in: - Interactive dashboards (FastAPI/Django + Plotly/PowerBI/Tableau) - Predictive machine learning models for sales, customer behavior, or sentiment - AI & RAG systems — chatbots or assistants with vector databases (FAISS, Pinecone) - ETL pipelines & APIs for collecting and serving data With a background in data science and analytics, I deliver full-stack, end-to-end solutions — from backend design to model deployment. Let’s discuss how I can help you build an intelligent dashboard or data-powered product. Tools, that I use: Python | FastAPI | Scikit-learn | PyTorch | LangChain | LlamaIndex | FAISS | Pinecone | SQL | PostgreSQL | MySQL | Power BI | Tableau | HTML/CSS/JS | Git Keywords: Python | Generative AI | MLOps | Machine Learning Engineer | Vector Database | RAG System | AI Agent | Agent Orchestration | PyTorch | TensorFlow | Keras | CNN | RNN | LSTM | Transformer Models | ARIMA | Forecasting | Classification | Regression | Clustering | Time Series Analysis | Anomaly Detection | Data Processing | Data Wrangling | Feature Engineering | Model Monitoring | Model Serving | CI/CD for ML | Pydantic | Dash | Streamlit | Deep Learning | Computer Vision (CV) | LLM Fine-Tuning

Hi! I'm Stepan — a Machine Learning Engineer and Data Scientist with a strong foundation in Python, statistics, and deep learning. I help businesses and startups turn data into insights and intelligent automation. Here’s what I can help you with: ✅ Build and train ML models for classification, regression, or clustering tasks ✅ NLP solutions (text classification, sentiment analysis, duplicate question detection) ✅ Computer Vision (image classification, object detection, satellite image matching) ✅ Data cleaning, analysis, and visualization ✅ Model deployment & automation (FastAPI, Flask, CI/CD, basic MLOps) ✅ Exploratory Data Analysis (EDA) & feature engineering ✅ Working with Generative AI (ChatGPT, LangChain, RAG, FAISS) Tools I use: Python, scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, OpenCV, HuggingFace, Streamlit, FastAPI, SQL, Git, Docker. I'm detail-oriented, responsible, and always eager to find the most practical and elegant solution for your business case. Let’s build something smart together! Book a FREE initial consultation—no commitment required.

Over 10 completed projects, 30+ client research analyses, 3 PoC stages executed, and 3 MVP stages passed successfully. 🚀 I’m experienced ML Engineer and Data Scientist with a strong foundation in statistics, probability, and deep learning, specializing in NLP 🗣️ and computer vision 👁️. Whether you need data-driven insights, model deployment, or a full AI solution from architecture to implementation, I bring a comprehensive skill set to support your project goals. 🔑 Key Skills: ✅ Proficient in classification, regression, clustering, and data preprocessing 📊 ✅ Skilled in data labeling, preparation, and feature engineering for optimized model performance ⚙️ ✅ Experience deploying ML models with or without database integration, setting up microservices via REST APIs 🔗 ✅ Comfortable managing projects end-to-end, from architecture to implementation & deployment 🚀 🛠 Tools & Technologies: 💻 Programming: Python 🐍 📚 Libraries & Frameworks: Scikit-learn, Pandas, PyTorch, OpenCV, Huggingface Transformers, FastAPI, Flask 🗄 Databases: PostgreSQL, Pinecone, MongoDB, S3 ⚡ Management & Version Control: Git, Jira, Shortcut I’m client-focused, a quick learner, and highly analytical, able to adapt AI solutions to meet unique business needs. Clear and regular communication 📢 is a priority, ensuring smooth collaboration at every stage. 💡 Let’s build something amazing together! 🚀

I’m a Data Scientist and Machine Learning Engineer with strong Python skills and a passion for building real-world AI systems. • Data Analytics & Visualization From raw data to meaningful insights using Pandas, Seaborn, Matplotlib. Efficient handling of missing data, feature engineering, and visual storytelling. • Classical Machine Learning Regression, classification, and clustering using well-tested models like Linear/Ridge/Lasso Regression, Random Forest, XGBoost, and time-series forecasting. • Neural Networks Design and training of neural network models for structured data, image classification, segmentation, and generative tasks. Practical, modular, and well-documented pipelines. • Computer Vision Full-stack CV development — from classic OpenCV (feature detection, contours, filtering) to modern deep learning frameworks: CLIP, Segment Anything, Grounding DINO, Stable Diffusion. • LLMs & RAG Pipelines Experience building Retrieval-Augmented Generation systems using local LLMs, custom embeddings, LangChain, Hugging Face, and FastAPI. Deployable, scalable, and production-aware. • API Design & Deployment Development of clean, modular APIs using FastAPI. Dockerized solutions ready for testing, deployment, and integration. Engineering mindset with focus on maintainability. My mindset: Every project is an engineering problem. I prioritize clean code, transparent structure, and robust results. I document my process and work as a partner - not just a coder. Let’s build smart solutions together!

Top Data Analyst for E-Commerce & Mobile/Web Apps. Expert in AI/ML Solutions for maximizing ROMI. ABOUT ME: ✔️ I’m one of the best data analysts at Upwork-Ukraine for e-commerce and mobile (iOS/Android) and web applications, known for high-quality work and data accuracy. ✔️ Also, I'm a founder of data analytics & data science agency for digital businesses 𝐃𝐨𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. With my skilled team, I provide quick setup of Google Tag Manager (GTM) and Google Analytics 4 (GA4), as well as advanced data visualization in Looker Studio/Tableau/PowerBI. Whether you need fast GTM+GA4 setup or complex forecasting and prediction solutions, we're here to deliver results. TOP ACHIEVEMENTS: ✅ BSc in Physics, BSc in Economics, MEd (Teaching Degree) in Physics, PhD in Physics. ✅ Founder of Dot Analytics, a successful data analytics & data science agency specializing in digital businesses; served 120+ clients globally. ✅ 9+ years of experience in data analytics consulting and projects implementation; operating worldwide (USA, AUS, EU, CEE, Asia). ✅ Top-Rated Upwork freelancer with 500+ quality hours delivered. WHAT I CAN SUPPORT YOU WITH; 🚀 Automating data processes, uploading and managing data efficiently 🚀 Designing and optimizing data warehouses for scalability and better performance 🚀 Creating clear, visually appealing data dashboards and visualizations 🚀 Testing & validating business hypotheses through statistical analysis 🚀 Leveraging ML to extract insights from your data WHOM I WORK WITH: ✔️ Growth-focused SMBs: e-commerce (Amazon, Shopify, WooCommerce), EdTech, Healthcare, Social Discovery/Dating, iGaming, Web3, Crypto. ✔️ C-level executives (CMO, CPO, CEO, COO, CTO) seeking ways to make data-driven (both data-informed and data-backed) decisions to drive revenue growth. TECH STACK: 📍 Data tracking: Google Analytics 4, Google Tag Manager, Google Search Console, Voluum, AdsBridge, Conviva. 📍 Server technologies​: Google Cloud, Python, Docker, Jupyter/Colab Notebook. 📍 Databases: Google Big Query, Amazon Redshift, PostgreSQL, MySQL, MSSQL, Vertica, Clickhouse. 📍 BI tools (data management platforms): Looker Studio, Tableau, Power BI, Plotly, Dash. ADDITIONAL EXPERTISE & SKILLSETS: 🟥 Analytics Audit & Consulting 🟨 Data Architecture 🟩 A/B-Testing 🟦 Advanced Analytics (ML, predictive models) 🟪 Modern Data Stack Implementation WHAT CLIENTS SAY: 🗣 Maria Yudina - COO Assistant - Strivtech 🗣 ⭐⭐⭐⭐⭐ ❝ We’ve been working with Ihor for half a year. Ihor knows Tableau and Google Analytics on the proficiency level.❞ 🗣 Anna Dudoukin - CEO (Chief Executive Officer) - Niasha.ch 🗣 ⭐⭐⭐⭐⭐ ❝ Dot Analytics successfully set up precise conversion tracking for the platform. Their experience with Google Cloud Platform (GA4, GTM) and Shopify e-commerce was a valuable asset for us. The team was highly communicative, and internal stakeholders were particularly impressed with the service provider’s vast technical expertise. Moreover, they're cost-efficient.❞ 🗣 Vladyslav Prokopenko - CFO (Chief Financial Officer) - Fulcrum 🗣 ⭐⭐⭐⭐⭐ ❝ Dot Analytics was able to determine the data and format required, exceeding expectations. The team demonstrated its ability to deliver tasks and come up with effective solutions.❞ ⭐⭐⭐⭐⭐ 🗣 Jason Olim - CTO (Chief Technical Officer) - ClassTag 🗣 ❝ Dot Analytics has successfully delivered a dashboard in Data Studio that provides clear information about Google Analytics issues. They have demonstrated expertise in their field and effectively solved the problem at hand.❞ 🗣 Dima Okhrimchuk - CEO (Chief Executive Officer) - Drope.me 🗣 ⭐⭐⭐⭐⭐ ❝ Dot Analytics successfully created requested dashboards with exquisite, structured, and solid illustrations of decks and incorporated financial KPIs. The team primarily communicated over Slack, responsively accommodating all concerns. Above all, they were diligent, attentive, efficient.❞ 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐞-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐫𝐚𝐭𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐚𝐭𝐢𝐨𝐧, 𝐚/𝐛-𝐭𝐞𝐬𝐭𝐢𝐧𝐠, 𝐢𝐎𝐒 & 𝐀𝐧𝐝𝐫𝐨𝐢𝐝 𝐚𝐩𝐩𝐬 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐲𝐨𝐮'𝐯𝐞 𝐫𝐞𝐚𝐜𝐡𝐞𝐝 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐔𝐩𝐰𝐨𝐫𝐤 𝐩𝐫𝐨𝐟𝐢𝐥𝐞. ✅ 🤝 Invite me to your job on Upwork and book a free 30-minute consultation call! LET'S MAKE YOUR DATA WORK FOR YOU.

Data Scientist with more than 1 year of practical commercial experience in Supervised/Unsupervised Machine Learning such as classification of user behavior, fraud, and anomaly detection. Skilled in data analysis, feature engineering, real-time data processing, and writing optimized and complex SQL queries. I also have experience in researching outgoing requests from the browser to third-party services (APIs), writing bots to automatically perform actions on websites using Selenium, and developing browser extensions that simplify user interaction, as well as the basic use of LLMs, Computer Vision models and their integration.