Timur Mukhtarov
Product Lead, Platform @EGYM
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WORK HISTORY
Product Lead, Platform @EGYM
Berlin, DE
EGYM is a global fitness technology leader providing fitness and health facilities with intelligent workout solutions. EGYM makes exercising smarter and more efficient with its comprehensive suite of connected gym equipment and digital products that integrate seamlessly with 3rd-party hard- and software. EGYM enables gym owners and operators to leverage a fitness technology ecosystem that delivers a fully connected workout experience for exercisers and drives measurable business and health outcomes on and off the fitness floor.
EDUCATION
New York University
Master of Science - MS, Informatics (Computer and Information Science)
The George Washington University
Bachelor of Science (BS), Statistics
The George Washington University School of Business
Bachelor of Science - BS, Finance
SKILLS
ABOUT TIMUR MUKHTAROV
Experienced Product Manager with 8+ years of experience in data, ML/AI, and platforms products To date, I have delivered 0->1 products and introduced new functionality related to recommender systems, data-centric AI, data privacy, ML systems, product analytics infrastructure, and experimentation/testing. If you\'re interested in product management or data/ML/AI/platform, feel free to connect with me on LinkedIn. I\'m always open to new conversations and collaborations-Strategy:Product vision, Market research, Business impact analysis, AI strategy, ML roadmap, Product positioning with AI capabilities, Go-to-market strategy for ML features, AI ethics, User needs assessment with ML features in mindBusiness:Monetization strategy, Monetization of AI capabilities, Partnerships for AI innovation, Revenue growth, Financial metric analysis, Market segmentation, Sales forecasting, Pricing strategy, Return on investment (ROI), Business operationsDesign and Research:User experience (UX) design for ML-powered features, User research for ML use cases, Design thinking, Wireframing, Prototyping, Information architecture, Design critique, User feedback, Persona creationTools / Software:Data analytics tools (e.g, Amplitude, Google Analytics), Machine learning frameworks (e.g. PyTorch), Cloud computing platforms (e.g, AWS, GCP), Product management software (e.g, Jira, Basecamp), Version control systems (e.g, Git), Agile project management (e.g, Scrum, Kanban), Mobile apps tools (e.g, Xcode, Firebase)Technology:Deep learning algorithms, Convolutional neural networks (CNNs), Recurrent neural networks (RNNs), Reinforcement learning algorithms, Transfer learning techniques, Natural language processing (NLP) models, Computer vision models, AutoML technologies, Bayesian machine learning, Explainable AI techniquesDomain Knowledge:ML-based fraud detection, Image recognition techniques, Speech recognition algorithms, Predictive maintenance for industrial systems, Financial forecasting with ML techniques, Natural language processing for chatbots, Recommender systems using ML algorithms, Social media analytics with ML models, Transportation optimization with AI capabilities.
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