i am a mechanical engineer with passion in all related subjects to data sciences. i have deep understanding in data analysis process. i can get added value from messy data and simplifying the results with attractive visualizations and dashboards.
I gain my knowledge and experience during my learning journey in Udacity platform Nano degree.
I solved real world problems through data analysis , dealing with real datasets.
I enjoy hard challenges and get motivated to understand and solve challenging problems.
I am confident in all data analysis process as below:
1- Data Gathering :
- collect data through API's
- web scraping using python ( scrapy, beautifulsoup, selenium)
2- Data cleaning:
- Data manipulation using Pandas
- Dealing with missing values
- Simplify the data structure for ease analysis
3- Data analysis:
- using descriptive statistics to deep dive in data and understand patterns
- using inferential statistics to prove perspectives.
4- Data Visualization:
- using python libraries ( matplotlib - seaborn)
- connecting the findings through visualization plots