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I’m a Data Analyst / Data Scientist / Machine Learning Engineer with 7+ years of experience and a strong foundation in social science, public opinion research, e-commerce and applied data science. I specialize in turning complex data into actionable insights - from exploratory research to production-ready machine learning models. I am skilled in: • 🐍 Python and SQL for analytics and modeling • 🤖 Machine Learning: Gradient Boosting (Catboost, XGBoost, LightGBM), Time Series (Forecasting: ARIMA-based models, Prophet, Clustering), Survival Analysis. • 🧠 Deep Learning with PyTorch, transfer learning, YOLO, and Computer Vision • 📊 Causal Inference: A/B testing frameworks, statistical experimentation, DiD, Propensity Score Matching etc. • 📈 Business Intelligence & dashboarding (Redash, Looker, Tableau, Google Data Studio) • ☁️ Cloud and automation (GCP, Telegram bots, Google Apps Script) • 💬 Qualitative research: designing and conducting interviews and focus groups Driven by curiosity and a passion for data, I’m constantly expanding my skill set: mastering new tools, frameworks, and approaches to solve real-world problems more effectively. 📁 GitHub: https://github.com/samalyarov
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