<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/0669ecc7-39d0-463b-bc2e-edb2dbb135a8/robot_1f916.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/0669ecc7-39d0-463b-bc2e-edb2dbb135a8/robot_1f916.png" width="40px" /> Internal Audit Data Analyst at Unilever (current)
</aside>
| Name | Denny Dewanta |
|---|---|
| Current Address | South Tangerang, Banten, Indonesia |
| Academic | Universitas Gadjah Mada - Bachelor Degree of Engineering [2019 - 2024] |
| Information Technology at Dept. of Electrical Engineering and Information Technology (specialized in Data Engineering) | |
| Thesis: Optimization of LQ45 Stock Price Forecasting and Trend Seasonality Analysis using Facebook Prophet and Neural Prophet | |
| Related Experience | - OTE Business Intelligence - Internal Audit at Unilever [May 2024 - Current] |
| - ULIP Finance - IT & Data Analyst at Unilever [Nov 2023 - May 2024] | |
| - Business Intelligence Intern at Traveloka [Feb - Jun 2023] | |
| - Data Analyst Intern at PT. GIT Solution (Kampus Merdeka) [Aug 2021 - Feb 2022] [Certificate] | |
| Related Organization | - University Lead at Microsoft University Crew UGM [Apr - Jun 2022] |
| - Hacker Role Member at Google Developer Student Clubs UGM [Nov 2021 - Oct 2022] | |
| Highlighted Honor | - Bronze Medal at International Science and Invention Fair 2020 |
Find Me on Other Platforms
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</aside>
<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/845ff268-30e5-4377-93fc-b90fc9a1d0bd/icons8-medium-500.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/845ff268-30e5-4377-93fc-b90fc9a1d0bd/icons8-medium-500.png" width="40px" /> Medium
</aside>
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</aside>
<aside> <img src="/icons/mail_lightgray.svg" alt="/icons/mail_lightgray.svg" width="40px" /> [email protected]
</aside>
Data Science Portfolios (Pre-Graduate Bachelor)
import scipy
import pylab
x = scipy.linspace(-2,2,1000)
y1 = scipy.sqrt(1-(abs(x)-1)**2)
y2 = -3*scipy.sqrt(1-(abs(x)/2)**0.5)
pylab.fill_between(x, y1, color='red')
pylab.fill_between(x, y2, color='red')
pylab.xlim([-2.5, 2.5])
pylab.text(0, -0.5, 'Thank You!',
fontsize=24, fontweight='bold',
color='white', horizontalalignment='center')
pylab.text(0, -0.7, 'Hope we can work together in the future!',
fontsize=10, fontweight='bold',
color='white', horizontalalignment='center')
pylab.savefig('heart.png')
