Alexander Modestov

Led the establishment of a full-scale analytics department and developed advanced AI/ML solutions for product analytics, driving significant improvements in data infrastructure and communication analysis.

• Established a full-scale analytics department from inception, implementing Amplitude, Branch.io, and Looker, and designing a scalable DWH/ETL infrastructure.
• Developed an AI-driven communication analysis tool for an EdTech startup, automating transcription, semantic parsing, and seller performance recommendations using GenAI (OpenAI, Claude, Mistral, Llama).
• Designed and implemented a video analytics pipeline utilizing YOLO and custom ML models to detect and classify specific behavioral events in video streams.
• Created a Retrieval-Augmented Generation (RAG) system for an internal AI assistant, streamlining onboarding and knowledge transfer for new employees.

Spearheaded the development of AI-driven solutions and optimized data pipelines, significantly enhancing customer engagement and decision-making efficiency.

• Developed AI-driven RAG systems using LLMs (OpenAI, Claude, Mistral, Llama) for automated conversation analysis, achieving an 80% reduction in vendor costs and a 50% boost in sales productivity.
• Led a team of analysts and data engineers to deliver data-driven insights, significantly improving decision-making efficiency and operational effectiveness.
• Built and optimized data pipelines (Apache Airflow, dbt) and cloud-based AI tools, accelerating data analysis by over 50% and improving report quality by 25%.

Expanded and led a high-performing product analytics team, driving data-driven decision-making and enhancing key user metrics for multiple internal products.

• Expanded and led a 10-member product analytics team, tripling its size, and organized processes to analyze 8 internal products, fostering a high-performing, data-driven environment.
• Conducted 20+ comprehensive A/B tests, encompassing hypothesis creation, experimental design, and in-depth analysis, which led to 4 key initiatives improving user retention and engagement.
• Crafted and implemented customized strategies for five distinct products, achieving substantial improvements: a 30% increase in NPS, a 20% boost in conversion rates, and a 20% rise in user engagement.

Built and managed the analytics framework for a portfolio of over 25 services, delivering critical insights and driving customer journey improvements.

• Built and managed the analytics framework for 25+ services, defining KPIs (revenue, churn rates, active user engagement) to deliver critical business insights.
• Designed and executed A/B tests to enhance customer journeys, achieving a 30% reduction in churn rates and fostering stronger customer loyalty.
• Led intercompany innovation by implementing advanced analytical frameworks across interdisciplinary teams, reducing the time required to obtain analytical results and measure new feature metrics by 25%.

Developed and deployed AI/ML models for personalization, recommendation, and fraud detection, significantly improving user engagement and platform security.

• Developed AI-powered personalization and recommendation models, increasing user engagement by 20% and enhancing user experience.
• Created and deployed robust ML-based fraud detection systems, proactively preventing fraudulent activities and significantly improving platform security.
• Provided strategic direction and technical leadership for data science initiatives, overseeing the successful deployment and maintenance of critical AI/ML solutions.

Implemented Big Data solutions and deployed automated ML-based ranking models to enhance conversion rates.

• Implemented Big Data solutions (Apache Spark, Python, H2O) for ML-powered scoring and ranking systems, optimizing data processing efficiency.
• Deployed automated ML-based ranking models, significantly increasing conversion rates by 30% through data-driven optimization.
• Conducted in-depth business analysis to identify key opportunities for data science application, translating complex data into actionable insights for stakeholders.

Designed and built AI-driven optimization systems for cost reduction and logistics efficiency, delivering significant client satisfaction.

• Designed AI-driven cost optimization systems for Eurasian Resources Group, achieving over $1M in annual savings.
• Built AI-powered logistics optimization models, improving efficiency by 50% and reducing costs by 18%.
• Provided strategic, client-focused solutions through expert consultations, driving high client satisfaction and loyalty.