Roman Melnikov

Roman Melnikov Data Analyst Israel, Haifa --LinkedIn GitHub Summary Data Analyst with 3 years of experience in processing and analyzing complex data for business applications, focusing on data preparation, visualization, and delivering actionable insights. Proficient in Python, SQL, and statistical analysis, with additional experience in machine learning model development. Seeking an opportunity to apply analytical skills to support data-driven decision-making. Skills Python, SQL, Pandas, Scikit-Learn, NumPy, PostgreSQL, PySpark, PyTorch, Matplotlib, CatBoost, LightGBM, XGBoost, Keras, Adam, ResNet, Seaborn, knowledge of A/B tests; Experience Projects for private clients, Freelance (2023) • Built an ML model to predict the volume of oil reserves in new wells. The model took into account characteristics such as oil quality and reserve volume. The model helped to select the region with the maximum profit. • Created an ML model to predict the amount of gold that could be extracted. Utilized information such as metal concentrations (e.g., gold, silver) at different stages of processing and the concentration of chemical reagents used for metal extraction. The model facilitated production optimization by identifying optimal operational parameters. • Built a ML model to predict the number of user’s orders for the next hour for a ride-hailing service. Data Analyst / Engineer, SeverStal, St Petersburg City, Russia -) • Designed and created databases organizing data in SQL. • Interpret and analyzing complex data for key trends, patterns and correlations. • Provided reports, dashboards (Power BI) and visualizations for internal and external purposes. • Collaborated with cross-functional teams including Operations and Product Development. • Presented processed data and insights to executives. • Designed geological bodies in a 3D environment for further development in quarries and underground mines. Geological engineer, HighLand Gold, Khabarovsk, Russia -) • Executed greenfield and brownfield projects in prospecting and exploration. Collected and organized samples and data for gold and associated metals. Education Yandex Practicum, Data Science Specialist (2023) • Python and SQL, data preprocessing, exploratory, and statistical data analysis. • Implemented Machine Learning and algorithms in 15 business projects, including NLP and CV models. • Presented the graduation project for a telecommunications company on customer churn. Saint Petersburg Mining University, Russia -) MSc, Geological surveying, prospecting and exploration of solid minerals Languages Russian (Native), English (Professional Working), Hebrew (In Progress)