Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0.5

To date, I consider my main achievement to be my PhD in applied physics. This is a 5 year project, if you don't include the education that provided the foundation for it. It was a work with a large amount of literature, which was constantly updated. This is collection, processing, data analysis and visualization, presentation of results. Very often it was necessary to combine conducting experiments with writing articles and reports at international conferences. But despite this, I still tried to find opportunities for additional learning - I participated in summer schools and laboratory courses in Europe.
1. Space X  Falcon 9 First Stage Landing Prediction
This project is a part of my final project for the data science course from IBM and Coursera. In this project, it was predicted if the Falcon 9 first stage will land successfully based on previous launches data.  This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. 
The main tasks:
- Collecting the Data from an API
- Data Wrangling
- Exploratory Data Analysis (EDA)
- Exploring and Preparing Data
- Machine Learning Prediction
Libraries: requests, pandas, numpy, datetime, matplotlib, seaborn, sklearn.

2.Diabets Dataset Analysis
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes.
Libraries: pandas, numpy,  matplotlib, seaborn, sklearn.

3. French bakery daily sales
The dataset provides the daily transaction details of customers from 2021-01-01 to 2022-09-30. Objective: Forecast the sales in order to ease the production planning.
Libraries: pandas, numpy,  matplotlib, seaborn, scipy.optimize, datetime.