Ivan Vodovozov

Background

About Ivan Vodovozov

Experienced business and data analyst with deep knowledge in machine learning, data science, mathematical statistics. Over 10 years on high impact business change projects in financial domain, working with cross-functional teams as a key project team member on technology side for business need assessment, current state and alternative solution evaluation, requirements specification, steering the delivery, user acceptance testing and implementation. Large scale data exploration to support decision making. Projects as a software engineer in machine learning and data analysis. Open to opportunities to apply data analytics and machine learning to deliver significant business value. SKILLS & QUALIFICATIONS • Languages: Python, SQL, VBA, JavaScript, HTML/CSS • Libraries: NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Pandas, Matplotlib, Seaborn • Methods and models: Data visualization, Hypothesis testing, A/B tests, linear regression, logistic regression, decision trees, random forest, gradient boosted trees, artificial neural networks, RNN, LSTM • Developer tools: Jupyter Notebook / Lab, Git, VBE • Databases: Oracle, MySQL • Business analysis: business case, gap-analysis, requirements gathering and specification (BRD, FSD), user stories, business process mapping, use-case, data modelling, UML, IDEFx, BPMN • Tools: Excel pivot, JIRA, Visio and others • Project methodologies: Scrum Agile, waterfall