My academic journey began with a strong foundation in Economics, earning both a bachelor's (UNEC, Azerbaijan) and master's degree (Universty of Sydney), with a focus on Econometrics and Quantitative Methods. I further advanced my expertise by obtaining a Doctor of Management degree in Organizational Leadership (University of Phoenix), which deepened my understanding of strategic decision-making, leadership, and organizational dynamics.
Driven by a passion for technology and data-driven solutions, I decided to pivot into the IT field two years ago. I completed Google's Coursera courses on computer hardware, software, and Python programming, and later specialized in Data Science through a Bootcamp with TechPro Education. This training enabled me to develop as a Full Stack Data Scientist, capable of managing all aspects of data science projects—from data collection and cleaning to modeling, deployment, and beyond. I have successfully implemented several projects involving machine learning, deep learning, and computer vision, delivering end-to-end solutions.
Leveraging over 20 years of business experience combined with cutting-edge data science expertise to deliver comprehensive solutions across analytics, machine learning, and business intelligence.
End-to-end machine learning solutions including predictive modeling, recommendation systems, and computer vision applications. Expertise in Python, TensorFlow, and scikit-learn.
Specialized solutions for e-commerce including Buy Box prediction, recommendation systems, sentiment analysis, and market basket analysis.
Comprehensive BI solutions including dashboard development, RFM analysis, customer segmentation, and cohort analysis using modern visualization tools.
Development of web applications using Flask, REST APIs, and modern frontend technologies. Expertise in deployment using Nginx and Gunicorn.
Expert guidance in trade finance, corporate finance, and operational finance with experience managing $75M+ annual trading operations.
Strategic business consulting leveraging extensive experience in financial management, business development, and process optimization.
Comprehensive financial management experience across multiple domains and industries.
Managed $75M+ annual trading operations, structured financing schemes with European banks, oversaw multi-modal transport financial operations.
Established financial policies, implemented cost control objectives, managed transition from owner-operated to corporate structure.
Managed large-scale manufacturing facility finances, established production cost objectives, implemented financial controls.
Implemented 1C Enterprise:8.3 ERP system, developed financial reporting frameworks, established KPI tracking systems.
My technical knowledge spans a wide range of essential skills and tools in data science, machine learning, and software development.
Proficient in Python (Core and Advanced), including libraries like NumPy, Pandas, and data visualization tools. Skilled in SQL and Advanced SQL for database management and querying. Expert in using Python/Pandas for financial analysis, including automated financial report processing, audit trail analysis, and financial data reconciliation.
Specialized in applying data science to financial operations: automated financial statement analysis, variance detection in audit trails, financial ratio calculations, and trend analysis using Python and Pandas. Experience in developing custom financial reporting tools and automated reconciliation systems.
Extensive knowledge of machine learning algorithms, including Linear Models, Ridge/Lasso Regression, KNN, Logistic Regression, SVM, Decision Trees, Random Forests, Gradient Boosting, K-means, Hierarchical Clustering, and PCA. Experienced in building recommendation systems.
Strong understanding of deep learning techniques, including ANNs, CNNs, RNNs, LSTMs, and GRUs. Proficient in computer vision and natural language processing (NLP).
Skilled in using Tableau, Power BI, and Google Sheets for data visualization and storytelling, with particular expertise in creating financial dashboards and audit reports. Experienced in visualizing complex financial metrics and audit findings for stakeholder presentations.
Familiar with software development life cycle (SDLC) and project management tools like Jira. Proficient in version control using Git and GitHub.
Basic knowledge of HTML and CSS for web development, and experience with web scraping for data collection.
Understanding of AWS and Docker for cloud computing and containerization, and experience with Streamlit for deploying machine learning models.
Proficient in Linux server administration, Nginx configuration and deployment, remote server management, and implementing secure server environments. Experience with Gunicorn for Python web application deployment.
Over 20 years of experience spanning data science, business management, and financial leadership roles.
Led development of comprehensive e-commerce analytics platform including ML models for Buy Box prediction, recommendation systems, sentiment analysis, and computer vision applications. Implemented full-stack solutions using Flask and deployed with Nginx.
Managed $75M+ annual trading operations, implemented financial management systems, and provided guidance on technology developments. Established operating policies and set up fully functional finance departments including cost accounting and financial planning.
Established online performance evaluation system covering 2,000 employees, modeled performance analysis systems, and provided data support for management information systems. Received Certificate of Honor for Effective Service.
Built collaborative relationships with P&G accounts, developed consumer-preferred solutions, strengthened national retailer business, and increased merchandising opportunities.
A strong academic foundation combined with continuous professional development in data science and technology.
2007 - 2012
Specialized in Organizational Leadership with research focus on strategic decision-making and organizational dynamics.
2002
Graduated with Honours, focusing on Econometrics and Quantitative Methods.
1995 - 1999
Built strong foundation in economic theory and quantitative analysis.
Data Science Professional Development (2024)
Data Science Courses (2024)
IT Automation with Python (2023)
Cybersecurity (2023)
Diploma in Performance Management (2013)
A showcase of my data science, machine learning, and full-stack development projects demonstrating end-to-end solution development.
( Machine Learning, Analytics )
Comprehensive e-commerce analytics platform featuring:
Technologies: Python, TensorFlow, BERT, SQL, Flask, Nginx
( Full Stack, Deep Learning )
Modern face detection and recognition system featuring:
Technologies: Python, React, PyTorch, Docker, Flask, SQLite
( Data Science, Technical Writing )
Contributing author at Academy Team on Medium, focusing on:
Featured Article: "Building a Modern Face Recognition System with Deep Learning and Web Interface"
A collection of my latest posts and notebooks from Medium and Kaggle.
In today's digital landscape, face recognition technology has become increasingly prevalent, from smartphone unlocking to security systems. In this article, I'll walk you through building a comprehensive face recognition system that combines state-of-the-art deep learning models with a modern web interface.
Read MoreThis Kaggle notebook performs sentiment analysis on Walmart product reviews using a combination of: TextBlob for basic sentiment scoring, VADER for context-aware sentiment analysis, and Random Forest for final classification
Read MoreThis Kaggle notebook performs image classification on e-commerce images using a combination of: MobileNetV2 for feature extraction, Transfer Learning, and Keras for model training
Read MoreContributing author at Academy Team on Medium, providing insights and tutorials on data science and machine learning.
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