
Emil Guliyev
Founder | Data Scientist | Ph.D. | Consultant
Salary / Daily rate
Lille, France
Freelance
Can come onsite
Skills
Languages
About me
Intro
En m'appuyant sur mes connaissances approfondies, j'offre une expertise à la demande en science des données (classification, vision par ordinateur, GenAI, prévision, apprentissage non supervisé), en analyse des données et en ingénierie des données aux industries à la recherche d'informations exploitables et de décisions stratégiques fondées sur les données. Mon engagement reste inébranlable pour fournir des résultats impactants adaptés aux besoins spécifiques des entreprises.
Work experience
Founder
Caspian Analytics
Dec 2022 - Present
3 years 11 months
Lille, France
- Rapports BI (PowerBI, Tableau) - Prévisions financières - Apprentissage en profondeur : Vision par ordinateur - Deep learning : GenAI : Développement de produits (intégration des LLMs de base au cas d'utilisation du client tel que RAG) - Analyse de big data (ApacheSpark) - Travail avec les technologies Cloud (AWS, Azure et GCP) et bien d'autres encore. Contactez-moi pour plus de détails et pour toute question
Research Assistant and PhD Candidate
IÉSEG School of Management
Jan 2020 - Feb 2024
4 years 2 months
Lille, France
J'ai travaillé sur la construction de modèles de « churn » dans des contextes commerciaux d'abonnement à des logiciels (B2B) et deux de mes travaux universitaires ont été publiés dans la revue « Industrial Marketing Management ».
Data Scientist
Enfocus
Jan 2020 - Feb 2023
3 years 2 months
Ghent, Belgium
- Churn modeling - Forecasting - Big Data Analytics - Business Dashboards
Data Science Dissertation Project : ML Algorithms in Booking Cancellations
Carnival UK (P&O Cruises & Cunard)
Jun 2019 - Sep 2019
4 months
Southampton, UK
Worked on Carnival UK project related with the University of Southampton master dissertation. Investigated the impacts of guest level data attributes in predictive modelling performance and its impacts on business. Key areas : *Application of CRISP DM Framework * Descriptive Analytics * Predictive Analytics: Guest Retention Models * Application of various Decision Tree models * Data Cleaning/ Pre-Processing *Feature Engineering * R studio for ML: “caret” and other packages * CART, XGboost, Random Forest *Domino Data Lab
Summer Intern - Junior Accountant
ARCLAND MMC
Jun 2018 - Aug 2018
3 months
Karki 0619, Azerbaijan
Worked as intern at ARCLAND consulting. Took part in preparation of Balance sheet, Income Statements. Learned about the regulations on Tax and Customs in Azerbaijan Gained first hand experience on local tax system in Azerbaijan(http://www.taxes.gov.az) . Took part in preparation of Q2 reports. Got insights on the application of online banking practices . Prepared relevant documents on E-government ( https://www.e-gov.az ) and constantly updated client’s profile on the system. Softwares worked on : Microsoft Excel, 1C:Enterprise, BTP( Bəyannamə Tərtibetmə Programı)
Intern at Guest Relations
Hilton Baku
Jun 2016 - Jul 2016
2 months
Hilton baku
I was working in Front Office, at Guest Relations and during my internship I learned how to greet guests, deal with guest complaints, worked with OPERA PMS,leading software in leisure industry, saw real team work in FO department, faced with different and unforgettable situations. When my university professors were teaching me some courses, I was just able to understand the meaning of course by definition but not in real situations. Having internship and with working in different situations at Hilton Baku was helpful guide to me to understand all of the materials that I have learned at university.
Education
University of Lille 1 Sciences and Technology
Doctor of Philosophy - PhD, Data Science/ Marketing Analytics
2020 - 2024
4 years 2 months
Activities and societies: Churn modeling / artificial intelligence
University of Southampton
Msc Business Analytics and Finance, Business Analytics
2018 - 2019
2 years
Fully focused on the application of analytics for business sector specializing in finance. Wrote master thesis in Customer Retention modelling in collaboration with Carnival UK. Studied Fields: * Simulation testing * Optimization( Linear Programming) * Python for Business Analytics * R studio for Machine Learning * SAS ( Enterprise Miner, Guide and SAS 9.4) * Credit Scoring ( Logistic Regression, XGBoost, Scorecards) * Quantitative Research in Financial Markets * Bloomberg Trading
ADA University
Bachelor's of Business Administration (B.B.A.), Business Administration and Management, General
2013 - 2018
6 years
Grade: 3.13
Studied 4 years focusing on Management, Finance, Accounting and Marketing. Gained soft and technical skills throughout the program. Worked as team leader at Green Club within ADA University. Got accepted as a first student for 1 year exchange study opportunity based on bilateral agreement between ADA University and Ritsumeikan Asia Pacific University. As a part of capstone project , worked with a team of students to deliver export strategy for local company based in Azerbaijan.
Ritsumeikan Asia Pacific University
International Management, Business Administration and Management, General
2016 - 2017
2 years
Grade: GPA 3.33
Activities and societies: Aikido club, Tenku festival, Global Business Case Competition, Study Abroad Fairs,
Studying in Japan for 1 year was one of the best moments of my educational lifetime. AACSB accredited Ritsumeikan APU is Japan's one of the leading private university that offers multicultural and multilingual environment to its students. Since it has bilingual education system, I learned Japanese language at pre-intermediate level while studying there as an exchange student. Also, I had professors from all over the world, and their unique teaching system helped me to develop myself internationally and see the world from different perspectives
Baku, Khatai, School 55
2011 - 2013
3 years
Licenses & certifications
SAP ERP Essential Training
Issued: Aug 2019
Azure Machine Learning Development: 3 Deploying and Managing Models
Issued: Aug 2019
Amazon Web Services Essential Training
Issued: Aug 2019
Machine Learning and AI Foundations: Classification Modeling
Issued: Jul 2019
Machine Learning and AI Foundations: Decision Trees
Issued: Jul 2019
R Programming in Data Science: High Volume Data
Issued: Jul 2019
Oracle Database 12c: Basic SQL
Issued: Jul 2019
Best Visualization Award
Issued: May 2019
Learning SQL Server 2017
Issued: Mar 2019
Organizational Behavior
Issued: Apr 2015
Portfolio

Détection automatisée de l’érosion des sols par segmentation d’images pour un opérateur de drones

Table de reporting financier des revenus multi-sources pour un éditeur de logiciel

Plateforme serverless d’analyse des données d’usage à grande échelle

Moteur d’intelligence géographique basé sur l’IA et la collecte automatisée de données publiques

Assistant IA sur mesure avec enrichissement RAG pour un éditeur de logiciel

Détection d’objets et de changements par vision par ordinateur pour un opérateur de drones
