Andriy V.

DATA SCIENTIST / ANALYTICS & RESEARCH LEAD (Finance • ML/DL • LLM/NLP • Computer Vision) | Languages: Ukrainian (native), English (C1) | SUMMARY: Data scientist and analytics leader with 20+ years in applied research/decision support and 7+ years in advanced ML, forecasting, financial modeling, and signal detection. Strong in Python; ML/DL (LSTM/GRU, CNN); NLP/LLMs (Hugging Face, GPT/BERT); and computer vision (OpenCV,Yolo etc). Deliver hypothesis-driven experiments, rigorous validation, and stakeholder-ready insights; lead end-to-end delivery and coordinate engineering when production tooling is needed. Domains include trading/FX, macroeconomics, customer/churn analytics, survey & social research, and geospatial market intelligence. Deliverables: reproducible notebooks, APIs, dashboards, and concise executive summaries. Comfortable with KPI design and communicating uncertainty (e.g., VaR/ES, confidence intervals) to non-technical stakeholders. CORE EXPERTISE: Predictive analytics & time series (econometrics, scenario modeling, backtesting); ML/DL modeling & feature engineering; GenAI/LLM pipelines (embeddings, prompt + API integration, text analytics automation); finance analytics (risk/volatility concepts, portfolio optimization fundamentals); research leadership (study design, survey analytics); automation & reproducible pipelines (REST APIs, Docker/Git). | TECH STACK: Python (pandas, NumPy, scikit-learn, TensorFlow/Keras, PyTorch), OpenCV; Hugging Face, OpenAI APIs; SQL/MySQL; Excel (advanced modeling/VBA); SPSS; R; FastAPI/Streamlit; Docker; Git. EXPERIENCE: Independent/Consulting — Data Scientist, Quant & Forecasting (2023–Present): forecasting models for business/finance; trading research and backtesting workflows; NLP/LLM automation prototypes (summarize/classify/extract); owned delivery from requirements to reporting and coordinated specialists when productization was required. Place Intelligence — Analytics Specialist (2020–2023): big-data + spatial intelligence using geolocation signals; pipelines and reporting for commercial and research stakeholders. University of Luxembourg — Research Expert (2018–2022): study design and quantitative analysis for academic projects; publication-ready outputs; rigorous, reproducible workflows. Nielsen (Basis Team), Chicago & 4i — Survey Analytics/Consulting (project-based): survey analytics and sales forecasting (incl. P&G Africa) using econometrics and ML; validated insights for stakeholders. Ukraine — Research Director / Senior Analyst (2000s–2018+): led full-cycle research programs (design→fieldwork→analysis→reporting) across social, political, and marketing research. EDUCATION: National Technical University of Ukraine “KPI” (1998–2005) — System Analyst, BSc (Computer Science). Open to remote/global roles. (EU).