Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4

• VILNIUS TECH - Vilnius Gediminas Technical University (Erasmus+)
• European Solidarity Corps / Volunteering: Creativity and culture, Environment and natural protection
• AWS AI (Artificial Intelligence) & ML Scholarship rogram
• Data Analytics virtual experience program
• Winner of the "SABAH" grant given by the Republic of Azerbaijan
Middle Data Scientist, Jun 2021 - Jul 2023
Gamboo remote, Estonia 
Initiated as a Junior Data Scientist, demonstrating expertise in advanced querying, data visualization, and 
analytics tools for handling complex data sets.
Designed and executed models, algorithms, and visualizations, successfully distilling actionable insights from 
vast, intricate data volumes while building collection, analysis, and reporting frameworks from scratch and 
devising techniques for maximizing system usefulness. These optimizations reduced data analysis time by 20%.
Facilitated the transition to a Middle Data Scientist role by consistently delivering high-quality work, tackling 
increasingly complex challenges, and demonstrating a deep understanding of statistical analysis and predictive 
data modeling.
Developed predictive models using machine learning algorithms, statistical analysis methods, and advanced 
algorithms based on deep-dive statistical analysis and predictive data modeling.


Data Analyst, Dec 2019 - May 2021
Datacity, Azerbaijan 
Produced monthly reports using advanced Excel spreadsheet functions.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders 
for concise explanations of the best placement for needed resources.
Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Enhanced data quality by 15%.
Created or reviewed technical design documentation to drive the accuracy of reporting solutions.


Automation Engineer Intern, Aug 2019 - Dec 2019
Socar, Azerbaijan 
Generated process models illustrating automation engineering progress, specifications, and details.
Trained developers and quality assurance team members in automation programs.
Optimized implementation strategies by conducting thorough needs and gaps analysis processes in advance of changes.