Resume
Experience
2023 September - Present : Subsystem Verification Engineer
ALSTOM
Bangkok, THAILAND
- Perform full verification of signaling inputs used to configure Communications-Based Train Control CBTC system for assigned projects
- Analyze requirements of software using Excel with filter and sort, VLOOKUP functions and Conditional Formatting
- Analyze every commit of software changes using GITLAB software and use several databases for inputs to complete verification activities
2021 October - 2023 August : Electronics Engineer
mu Space Corp
Bangkok, THAILAND
- Designed solar array to support all satellite subsystems and payload for small satellites
Education
2019-2022
King Mongkut's Institute of Technology Lakrabang
Master Degree in Automotive Engineering
THAILAND
2012-2018
Yangon Technological University
Bachelor Degree in Electronics Engineering
Yangon, MYANMAR
Professional skillset
- SQL (SQL Server)
- Python (Pandas, NumPy, Seaborn, Matplotlib)
- Tableau
- Excel (VLOOKUP, Conditional Formatting, Pivot Table)
Language
Projects
The following projects are completed with SQL, Python, Excel and Tableau.
- Used python to download dataset from kaggle with kaggle api (import kaggle and zipfile)
- Exported the cleaned data file to excel for visualization in Tableau
- Total bike rides, Heatmap and Line charts with selected time period, Tooltip with Weather and Hour charts were illustrated
- Used API web scraping to accquire cryoto currency prices dataset using requests and pandas modules in python
- Wrote a function to get data from website with time and sleep modules and created a csv file and update file automatically every time a function is running
- Modified data and exported a visualization with seaborn module
- Created a dashboard to analyze Airbnb price using Listings dataset and Calendar dataset with inner join in Tableau
- Plotted column and maps charts to check average price per zipcode
- Determined the best month with highest revenue to rent an Airbnb in a year
- Utilized SQL to fill same PropertyAddress for different uniqueID with same other info using JOIN
- Split Address to Address and City with SUBSTRING function and removed duplicate rows
- Transformed and filtered data by using aggregating and filtering function to improve reporting process
- Downloded 12 months dataset and merged to one csv file (4340367 data) using pandas and os modules in python to analyze how annul members and casual riders use Cyclistic bikes differently
- Performed data cleaning to successfully identify the ride length of bikers (end time - start time) and which day people used bike mostly in a year
- Aggregated and visualized the data to gain insights on average ride length on each day of annual members and casual riders
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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
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| Name |
Description |
Price |
| Item One |
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29.99 |
| Item Two |
Vis ac commodo adipiscing arcu aliquet. |
19.99 |
| Item Three |
Morbi faucibus arcu accumsan lorem. |
29.99 |
| Item Four |
Vitae integer tempus condimentum. |
19.99 |
| Item Five |
Ante turpis integer aliquet porttitor. |
29.99 |
|
100.00 |
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| Name |
Description |
Price |
| Item One |
Ante turpis integer aliquet porttitor. |
29.99 |
| Item Two |
Vis ac commodo adipiscing arcu aliquet. |
19.99 |
| Item Three |
Morbi faucibus arcu accumsan lorem. |
29.99 |
| Item Four |
Vitae integer tempus condimentum. |
19.99 |
| Item Five |
Ante turpis integer aliquet porttitor. |
29.99 |
|
100.00 |