Position: Data Scientist/Analyst | ML Engineer
Category: Data Analyst
English level: fluent
Years of experience: 5

The main highlights during this experience were the following:

- Participated in planning and building the strategy for inbound marketing campaign execution, including content, content schedule, platforms, and measurements;
- Analyzed the risks involved through SWOT Analysis, PESTEL, and other frameworks for qualitative analysis;
- Developed benchmarks and goals for each campaign and ensure they reached;
-Worked with designers, content specialists to ensure that their work meets organizational standards;

Implemented ERP-system. Took part in New customs control subsystems development (BA, coordinator). Established internal and external international communication. Assembled teams. Provided large-scale organizational change.
Led a team assigned to a $5M project that delivered an enterprise data warehouse. Saved $0.5 million by redesigning a client's data system.
As a proactive professional with a strong academic background and experience in data analysis, machine learning, and economic research, I believe I am well-suited for this role.

As a Senior Data Scientist and Analyst at ProData, I identify trends, design and implement machine learning algorithms, and develop predictive models to inform business decisions. My prior experience as an Economic Analyst at the Presidency of the Republic of Turkey involved analyzing economic data and trends to inform policymaking decisions, while as a Business Analyst Intern at Deloitte, I provided clients with risk management recommendations.

My skill set includes Python programming (Scikit-learn, PyTorch), database management (MsSQL, PostgreSQL), web scraping (Beautiful Soup, Selenium), data pre-processing (Pandas, Numpy, Excel), and data visualization (Power BI, Tableau). I have a proven track record of applying machine learning techniques using Scikit-Learn to develop effective solutions for various business problems.
I have successfully implemented deep learning techniques using frameworks such as TensorFlow, Pytorch and Keras to build and deploy models for tasks such as image classification, object detection, and text generation. This includes working with convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based architectures like the BERT model for NLP tasks.
Furthermore, I have applied NLP techniques such as sentiment analysis, named entity recognition, and text classification using state-of-the-art models like Word2Vec, GloVe, and the Transformer model. I have utilized libraries such as NLTK and spaCy for text processing and feature extraction, as well as implemented sequence-to-sequence models for machine translation and text generation tasks.

In addition to my work experience, I have published research articles in the International Journal of Business and Economics Research and the Academic Journal of Economic Studies. These publications demonstrate my ability to conduct in-depth research and communicate complex ideas effectively.
Data Analytics (visualization & business decision insights), NLP and Data Science projects (machine & deep learning)