Focus: research, finance, data science, process automation. I am a data scientist and analytics expert with a strong focus on machine learning, deep-learning, LLM, NLP, image recognition, classification/segmentation, time-series forecasting, and financial modeling. Over the past two years, I have been deeply engaged in developing advanced forecasting models using ML, deep-learning, reinforcement-learning, LLM, NLP and designing algorithmic trading systems (robots) enhanced by reinforcement learning and signal processing techniques, wave analysis and entropy-based analysis. I also integrate financial indicators and custom strategy backtesting to optimize trading performance.I use robust Python implementations for dynamic portfolio optimization and signal detection. This work complements my long-standing experience in statistical modeling, business forecasting, and decision support systems. From 2020 to 2023, I worked at Place Intelligence, where I specialized in big data analytics and spatial intelligence, combining geolocation data with market and behavioral analysis. Between 2018 and 2022, I served as a research expert at the University of Luxembourg, contributing to multiple academic projects in social sciences and quantitative research. I have led and collaborated on academic initiatives on this platform for over 7 years. Internationally, I have worked with Nielsen’s Basis Team in Chicago on survey analytics and with 4i (a Nielsen affiliate) on business consulting services—forecasting Procter & Gamble’s (and not only) sales in Africa mainly using econometric and machine learning methods. In Ukraine, I bring over two decades of experience in social, political and marketing research, managing full-cycle projects involving survey design, fieldwork, data analysis, and actionable reporting. I specialize in both quantitative and qualitative research methods, grounded in real-world application. Skills and Tools: Data Science & Programming: Python (Jupyter), R (RStudio), SPSS(Syntax and macro), Excel(VBA, Datatools), SQL/MySQL/Access Machine Learning & Forecasting: NN, CNN, GNN, GCN, LSTM/GRU, VAR/ARDL, GARCH, RL/DL, SEM, DSS, Regression and Classification. Trading & Market Analytics: Technical indicators, backtesting, signal detection, portfolio strategies, trade robots (Forex, Binance) Geospatial Analytics: Cartography, spatial data applications, map-based visualization tools Social & Market Research: Quantitative surveys, qualitative interviews/focus groups, mixed-method research Business Analytics: Forecasting models, decision systems, strategy support for marketing and operations Data Visualization & Reporting: Advanced Excel, dashboards, cartographic tools, PowerPoint reports With a multidisciplinary background and a sharp focus on data-driven solutions, I offer deep analytical capabilities, practical business insight, and a track record of delivering value across academic, corporate, and consulting environments.