Emil Aydinsoy Email & Phone Number

Baku, AZ

Dublin, County Dublin, Ireland

- Analyzing the existing Data pieplines- Ensuring correct data Flow integration- Automating reporting system- Logistical Root optimisation- Creating LLM models for internal usage

Oxford, England, United Kingdom

- Ensuring ETL pipeline integrity- Execute analytical experiments to help solve problems across various domains- Analyze data for trends and patterns, and interpret data with clear objectives in mind- Implement analytical models in production- Communicate findings to all stakeholders

Baku, Azerbaijan

I am a lecturer in the field of Data. In my classes, I mainly focus on the Applied spectre of Machine learning, Data Analysis and Deep learning.

Baku, Baki, Azerbaijan

JD: finding optimal solutions for chemical and chemical engineering problems/reactionsmain used methods are mathematical optimization techniques, statistical, AI and Deep learning models

Stockholm, Stockholm County, Sweden

Perform data mining, exploration, and analysisCreate data visualizations, reports, dashboards, and data auditsDesign, train, and implement machine learning algorithmsLeverage predictive models to optimize customer experiencesUsing Deep learning algorithms for Data Products of customers

Sheffield, England, United Kingdom

- Collaborating with the rest of the Data Platform: Work closely with our existing Data Platform team to ensure seamless integration and expansion of our data models and unlock new use cases.- Enhancing Data Processing: Improve data ingestion and processing capabilities in our data lake, data warehouse, and ML platform.- Implementing Data Quality Measures.

London Area, United Kingdom

- Creating ETL pipelines to ensure data flow regulations- Work with cross-department teams to embed analytical technologies- Serve as Area’s/Subsidiary’s subject matter expert on marketing analytics, advocating for data-driven decision-making, and demonstrating an “Analytics Throughout” marketing mentality through the usage of analytical models- Support.

Dublin, County Dublin, Ireland - Remote

My main JD was to Create an ELT pipeline from various sources, find patterns and use them to make data-driven decisions, improve business processes, and fine-tune strategies. I am mainly collaborating with Sales and engineering teams to develop an understanding of needs.

London, England, United Kingdom

- Creating Data Pipelines- Calculating FMCG (Fast Moving Consumer Goods) KPIs - Creating a monitoring system for KPIs- Analyzing time series modelling results- Creating Data governance regulations and Data Dictionaries

Switzerland

- Analyzing Technical Help Desk data.- Finding bottlenecks by implementing Exploratory and Explanatory Data analysis.- Summarizing findings by Dashboard- Implementing Statistical analyses- Using AI models to create an environment for future decision making

Eindhoven, North Brabant, Netherlands - Remote

My main Job responsibility was to Create from scratch a business solution to automate the whole company's Enterprise resource planning and Customer relationship management system. Using APIs of various platforms a unique Data Base in a VPS was created. Dynamic solution application of all businesses were formulated, including Automated invoicing, Resource.

- Identify strategic risks and help to reduce these risks.- Ensure any applicable metrics and performance pointers are in place to measure all progress.- Find important projects, ventures, potential targets and other partnership opportunities.- Keep abreast of new engineering practices, technologies and continuously improve our Agile practices, and build.

Baku, Baki, Azerbaijan

- Recruitment and Education management of Junior Data scientist- Conduct independent research which includes problem definition, research plan, experimental design, algorithm development, code implementation and robust comparison to available benchmarks- Lead a portfolio of Data scientists in various projects- Introducing cutting-edge predictive analytics.

Baku, Baki, Azerbaijan

Conduct independent research which includes problem definition, and research plan. Experimental design, algorithm development, code implementation and robust comparison to available benchmarks. Collecting past and present data, analyzing collected data, using relevant computer software, and finding ways to improve operations and reduce costs.

Baku, Baki, Azerbaijan

Baku, Baki, Azerbaijan

Sumqayit, Azerbaijan

we were familiarized with the production of polyethylene

Baku, Baki, Azerbaijan

Bootcamp, Data Science

-Advanced visualization, data mining tools, and programming languages were taught -During studies, different types of models such as churn.

Master'S Degree, Petroleum Engineering, 99

Bachelor'S Degree, Chemical Engineering, 87

Doctor Of Philosophy - Phd, Application Of Mathematical Modelling Ind Chemical Engineering

Activities and Societies: - gathering data from experiment results - using diagnostic analysis for finding bottlenecks - application of.