I'm Dr. Emil Guliyev, an independent AI and data science consultant with 8+ years of experience (since 2017), available for projects worldwide (subject to French law). Multilingual in Azerbaijani, Turkish, English, and French, I've evolved with the field—from traditional machine learning to modern deep learning and transformer-based AI. I have experience working with companies from UK, France, Belgium, and Azerbaijan. My journey spans prestigious institutions across Europe, UK, Azerbaijan, and Japan, combining academic research with real-world industry impact.
My academic and professional journey has taken me across continents, building expertise in data science and AI across diverse cultural and business contexts.
ADA University, Baku, Azerbaijan
Foundation in business administration, with international exchange program at Ritsumeikan APU in Beppu, Japan (2017), where I was introduced to Data Mining using R by a visiting professor from Stanford, working on the famous flower detection case (Virginia, Setosa). This experience sparked my passion for data science and machine learning.
University of Southampton (Russell Group), UK
Mastered R and Python, and learned SAS, Tableau, and SPSS. Gained deep expertise in business analytics, financial modeling, and data-driven decision making. Completed a 4-month industry project with Carnival UK, working on improving booking cancellation prediction models for Queen Mary 2 cruise ship—my first major industry application of machine learning during my Master's thesis project.
Université de Lille / IESEG School of Management, France
Completed PhD with company-based funding and research, focusing on customer retention modeling and B2B actionable rule models. Published two peer-reviewed papers on churn prediction in Industrial Marketing Management, establishing my expertise in B2B customer analytics.
Caspian Analytics (Founded December 2022)
Established my data analytics, data science, and AI consulting business, working with multiple clients on an on-demand basis. Providing specialized AI and data science consultancy services across diverse industries.
Selected Client Projects:
ISG Lille, France
Teaching in French to Master's students. Courses include: Business Intelligence and Data Analytics and Initiation aux Big Data Tools. Bridging academic knowledge with industry applications for business students.
My journey reflects the evolution of the field—from traditional machine learning to the modern era of deep learning and transformer-based AI.
Started with classical machine learning techniques—regression, classification, clustering. Built predictive models for business applications, customer retention, and financial forecasting. Mastered R, Python, and statistical analysis tools.
Adapted to the deep learning revolution and transformer architectures. Integrated LLMs, RAG systems, and modern AI solutions. Expanded into computer vision with custom neural networks for object detection and image segmentation. Stayed at the forefront of AI innovation.
Multilingual capabilities enable seamless communication and understanding of diverse business contexts across international markets worldwide.
Languages: Azerbaijani (Native), Turkish, English, French
Available for projects worldwide (subject to French law). I have experience working with companies from:
My research has been published in top-tier journals, contributing to the advancement of B2B customer retention and churn prediction methodologies.
Industrial Marketing Management, 2024
This groundbreaking research introduces B2B actionable rule models that offer clear action paths for proactive retention management. The framework translates predictive analytics into concrete business actions, enabling companies to move beyond prediction to intervention.
Industrial Marketing Management, 2024
Co-authored research exploring the potential of usage data in B2B customer churn prediction. This study demonstrates practical applications of machine learning in enterprise contexts, with real-world analysis from European software providers.
Combining academic rigor with industry experience across multiple domains of data science and AI.
Advanced degree with published research in Industrial Marketing Management on B2B retention. Deep understanding of academic methodologies and their practical applications.
Worked across Europe, UK, Azerbaijan, and Japan in diverse industries. International exposure has shaped my approach to data science across different cultural and business contexts.
From cruise ships to drones, software to retail analytics. Experience spans multiple sectors, each with unique challenges and custom requirements.
CRISP-DM methodology with academic rigor and business focus. Systematic approach to data science projects ensuring both scientific validity and practical impact.
Expertise in generative AI, LLMs, computer vision, and predictive modeling. Hands-on experience with enterprise-scale AI platform development and deployment.
Strategic data analysis, financial forecasting, and business intelligence. Creating actionable insights that drive informed decision-making and business growth.
Extensive experience with Azure and AWS cloud platforms for end-to-end AI model deployment and data infrastructure. Regularly use cloud infrastructures across multiple projects for scalable, production-ready solutions. Azure expertise includes Web Apps, ElasticSearch, Azure Foundry, Blob Storage, and Cosmos DB. AWS proficiency covers EC2, AppRunner, S3, Athena, and Glue for data processing and model serving.
Sharing knowledge and expertise through teaching and mentorship, bridging academic research with industry practice.
ISG Lille (Institut Supérieur de Gestion), France
Teaching in French to Master's students. Courses include: Business Intelligence and Data Analytics and Initiation aux Big Data Tools. Bridging academic knowledge with industry applications for business students.
Combining theoretical knowledge with practical experience
Helping students and professionals understand how academic research translates into real-world business solutions and strategic decision-making.
