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Emil A.
Data Scientist
Emil is an accomplished Data Scientist and PhD.C. with four years of experience in the IT sector, mainly working on Machine Learning, Research, Statistics, and Data Tools.
With a solid theoretical background in engineering and mathematics, he possesses strong problem-solving skills and an analytical, well-organized approach. He swiftly adapts to new technologies, enabling him to make substantial contributions throughout the project's development and support life cycle.
He plays a crucial role in assisting business stakeholders by formulating effective solutions. Collaborating with business analysts, data architects, and data scientists, he leverages his expertise to create innovative models that identify new audience segments based on the model's output.
Main expertise
- Python 4 years
- Data Science 4 years
- Machine Learning 4 years
Other skills
- TensorFlow 4 years
- Apache Spark 3 years
- AWS EC2 2 years
Selected experience
Employment
Chief Strategy Partner
QSS Analytics - 3 years 11 months
- Identifying strategic risks and contributing to risk reduction strategies
- Establishing relevant metrics and performance indicators to measure progress
- Updating on new engineering practices and technologies
- Improving Agile practices
- Fostering relationships and alliances to build strong partnerships
Technologies:
- Technologies:
Python
- Data Science
Microsoft Power BI
OpenCV
Mathematical Modelling Scientist
Azerbaijan National Academy of Science - 3 years 11 months
- Translating reaction needs into a testable hypothesis, proof writings, as well as prototyping pipelines that can be further developed and optimized by data engineers and used by data scientists for machine learning.
Technologies:
- Technologies:
-
Python
- Data Science
- Computer Vision
- NLP
Scrapy
-
OpenCV
Data Scientist
QSS Analytics - 4 years 11 months
- Collecting and analyzing past and present data using relevant computer software;
- Identifying ways to improve operations and reduce costs based on data analysis;
- Managing a team of data scientists;
- Planning and overseeing data projects;
- Providing tools for making strategic decisions;
- Conducting independent research with problem definition, research plan, experimental design, algorithm development, code implementation, and benchmark comparison;
- Implementing cutting-edge predictive analytics solutions in finance, logistics, and sales;
- Analyzing research papers.
Technologies:
- Technologies:
-
Python
- Data Science
- PyTorch
- Computer Vision
- NLP
-
Scrapy
-
OpenCV
Education
Doctor Of PhilosophyApplication of mathematical modelling in Chemical Engineering
National Academy of Science, Azerbaijan · 2021 - 2023
Standalone courseBootcamp, Data Science
Data Science Academy · 2020 - 2020
MSc.Petroleum Engineering
Baku State University · 2019 - 2021
BSc.Chemical Engineering
Baku State University · 2015 - 2019
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