Murad Gystarov Email and Phone Number

Leading AI Solutions to deliver innovative AI-driven strategies that enhance business performance across various industries. Overseeing strategic growth, client partnerships, and the execution of AI projects that drive efficiency and success.

1. Leading a key project on the segmentation of over 100,000 clients based on CRM data to increase sales, conversion rates, optimize marketing strategies, and improve customer service. • Initiated and coordinated the process of data collection and cleansing from various CRM sources, including conducting joint working sessions with SQL developers to ensure data quality and efficiency of data marts. • Conducted extensive analysis and feature engineering based on CRM data to identify key customer characteristics used in the segmentation model. • Developed and trained several machine learning models for customer segmentation, focusing on obtaining interpretable results that can be easily applied in the company’s marketing and sales strategies. • Utilized Matplotlib and Seaborn to create graphical reports that visually presented the segmentation results to the team and management. 2. Developed a model for the auto-classification of customer inquiries received through various channels. 3. Built a personalized recommendation system for users of the website pik.ru.

1. Data search, extraction, and preparation for training models: ASR (Acoustic Models and Language Models), SID, diarization, topic modeling, etc.; writing Python scripts to automate these processes; creating data preparation pipelines.2. Fine-tuning and testing models (WER, LER, EER).3. Development of client services.4. Building and training models (G2P, gender identification, speech age estimation).5. Topic modeling of customer interactions in a call center.6. Communication analysis to identify issues and insights.

1. Development of a Chatbot for taking product orders • Intent recognition (NLU) • Named Entity Recognition (NER) for extracting entities from millions of products • Implementation of various chatbot scenarios • Dialog state tracking • Response generation (NLG)2. Speech Analytics for Call Center Conversations using Topic Modeling • Data preprocessing (tokenization, lemmatization) • Working with Vowpal Wabbit files • Forming skipgrams and ngrams • Word vectorization (one-hot encoding) • Applying ARTM model3. Image Classification (by type of apartment renovation) using Fine-tuning of VGG164. Development of an ML Service for predicting publication traffic