Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2

Certified data Scientist endorsed by Data Science Academy
Financial certificates
Technical Skills:
- Data analysis: Python, SPSS, R
- Data visualization tools: Tableau, Power BI desktop, Power BI Report Server, R, Excel
- Programming Languages: Python, R, SQL-Oracle
- Machine Learning: Regression, Classification, Clustering, Time-series, hyperparameter tuning, Pipeline modelling, Boosting, Bagging. 
- Deployment tools: Streamlit, Django
- Deep learning: Pythorch, FastAI, OpenCV, Computer Vision,  NLP, Tensorflow.
- Additional: Due to financial background, strong understanding of company stuctures, types of contracts, presentation formats.

Soft Skills:
- Out-of-box thinking
- Fast learner
- Leadership
- Management
- Critical thinking
- Solution Orientation

Last two work experience:
Reporting Specialist
Umid Babek Operating Company (SOCAR)
2022 - Present,
Responsibilities: 
- Preparation of full company management report.
- Collecting past and present data, analyzing collected data, finding correlations between variables, using BI tools to visualize data in most relevant form, finding ways to improve operations and reduce costs, planning and managing projects on implementation modules of SAP ERP.

Reporting Specialist
Azerbaijan Airlines
2021 - 2022,
Being a part of Reporting team established and implemented strong Reporting system. Preparing yearly, quarterly, monthly Management reports, analyze, make suggestions on identified
inconsistencies and problems.

Data Science experience examples:
Image classification with Python (2022)
Given the Image Classification dataset consists of 6 classes, I am asked to build a model that can correctly classify images. I applied a method called transfer learning and tried three neural networks architectures: VGG16,Resnet50 and Inception-v3 Build a neural model that can classify with 92% accuracy. 

Data Cleaning on Electricity Usage Data with Python (2022)
In this project i have been provided with data of Electricity Provider Company. As data was in a unstructured and unsorted format i had to clean data and turn it into usable format. My second task was select optimal contract based on usage history.

Kaggle Tabular Playground Series (2022) - Used Prophet time series analysis to predict book sales of 4 country and 6 product name. Evaluation: SMAPE: 12.29
- Strong vision of company.
- Provision of work environment in which I can contribute to the team, I receive appreciation for my contributions, I have job stability and the ability to grow with the company.
- Position that will allow me to put my talents and expertise to good use while still allowing me to develop professionally and personally with the business.
- Personal development Plan for workers.
- Understanding Team leaders.