Claudia Kitova, PhD

• Leading the development of a scalable data analytics infrastructure from the ground up, empowering teams across the company to easily make data-driven decisions • Architecting and managing robust data pipelines that deliver accurate, timely insights, ensuring informed decision-making at every organizational level • Building predictive analytics and advanced machine learning models that uncover hidden trends, forecast future behaviors, and support proactive business strategies • Defining and driving a clear analytics roadmap that transforms raw data into intuitive, impactful outcomes, directly contributing to organizational growth, efficiency, and competitive advantage Customer Segmentation • Fraud Detection • Marketing Analytics • Financial Predictions • Blockchain Analytics • KYC Analytics • Risk Modeling

Successfully led projects that enhanced operational efficiency, product quality, decision-making speed, and transaction processing times across various industries. By developing advanced data-driven solutions, I improved resource allocation, customer engagement, profitability, and operational agility for the company’s clients. Some projects: • LLM System: Innovatively liberated 55% of human resource capacity, as shown by the more strategic allocation of staff time and resources, realized by creating AI agents based on Large Language Models to aid employees in navigating company regulations. • Price Forecasting System: Shortened the timeframe for resource searching by 25%, as indicated by enhanced decision-making speed and adaptability to market fluctuations, executed by developing a Price Forecasting system for commodity positions in a metal manufacturing company. • Revenue Management Service: Efficiently reduced transaction processing times by 33%, as evidenced by streamlined customer transactions and enhanced operational agility, achieved by leading a team of scientists to create an automated revenue management system for an airline company.

By developing advanced predictive systems and optimization tools, I streamlined production processes, and achieved substantial cost reductions for the company’s clients. Some projects: • Advisor System: Effectively boosted productivity by 35% and markedly uplifted the quality of the end product, as demonstrated by heightened customer satisfaction and a stronger foothold in the market, accomplished by innovating and implementing a system for predicting slag formation in metal fabrication furnaces. • Flow Production Optimizer: Minimized downtime and boosted productivity by 15%, as reflected in a more streamlined production process and optimal resource utilization, achieved by directing the development of a Flow Production Optimizer for the continuous production of perishable items. • Predictive Analytics System: Successfully halved the number of pre-emergency incidents, as evidenced by an annual cost reduction of up to $700,000, enhancing operational efficiency and cost management, achieved by spearheading the creation of a Predictive Analytics System for a gas production company.

• Pioneered a sophisticated analytics system to enhance accuracy for promotional sales, as measured by the design and development of predictive algorithms for 1.5 million goods. • Achieved a substantial increase in forecast accuracy for promotional sales, rising from 67% to 83% within six months, by applying meticulous analysis and optimization strategies through the new analytics system. • Realized a significant business impact by improving the accuracy in predicting and managing the effectiveness of promotional sales through strategic analytics.

• Reduced music promotion costs by $2 million annually by designing and implementing an advanced popularity forecasting application that predicts the popularity of music tracks. • Increased the profitability of the company's clients by applying artificial intelligence algorithms to develop a recommendation system that identifies the most profitable projects for the company. • Created a new line of business for the company, generating $200K in annual profit, by optimizing resource allocation and enhancing marketing strategy effectiveness through the implementation of a descriptive analytics system to track the payback period of projects.

• Enhanced satellite maintenance efficiency by 10% by developing a spacecraft life prediction service that accurately forecasts their lifespans. • Reduced telemetry costs by $150,000 annually through the effective implementation of a spacecraft life prediction service, which optimizes maintenance and replacement schedules. • Significantly saved time and resources in the chemical compound identification process by engineering a generative service for precise chemical compound modeling, revolutionizing compound identification with AI algorithms.