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Optimistic, detail-oriented, and highly motivated statistics graduate with strong public speaking skills. Experienced in data analysis, reporting, audit processes, and developing Standard Operating Procedures (SOP). Proven background as a Data Analyst, Quality Control Officer, and SEO Writer. Awarded multiple national essay competitions and a Silver Medal at the Taiwan Innotech Expo Invention Contest. Proficient in Microsoft Office, RStudio, Minitab, SPSS, Power BI, draw.io, MySQL, and Python. Highly motivated to take on challenging roles by leveraging strong analytical and technical skills. |
anestasya (anestasya)
Data Entry Risk Analysis Writing Administration OpenWRT Data Analysis Data Mining Copywriter Data Integration
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| User Name: | anestasya |
| Account Type: | Personal Account |
| Date Registered: | 20/09/2022 18:32:48 WIB |
| Last Seen: | 24/06/2026 10:05:04 WIB |
| Provinsi: | Jawa Timur |
| Kabupaten: | Kab. Lamongan |
| Website: | https://rpubs.com/anestasyaazizah/912875 |
| Online Hours: | 3.18 |
| Projects Won: | 0 |
| Projects Completed: | 0 |
| Completion Rate | - |
| Projects Arbitrated: | 0 |
| Arbitration Rate | - |
| Current Projects: | 0 |
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2019: Publikasi: “Building Local Wisdom Identity Through Panas Pela in Molucas” published in Proceeding Book 7th Asian Academic Society International Conference 2019, ISBN: 978-602-61265-5-9
2020: Text Mining from The Most Frequent Conversations About Jkt48 on Twitter:
This project was motivated by my drive to learn how to globally track chat trends on the large platform Twitter. In the process there is a rough crawling of data and text processing to retrieve the most important words from a tweet. The results are then visualized in the form of graphics and simple words.
2020: Peramalan Jumlah Pencari Kerja Terdaftar Tahun 2019 di Kabupaten Lamongan Menggunakan Metode ARIMA Box-Jenkins.
Dalam proyek ini, penulis menerapkan metode perumusan peramalan data untuk beberapa periode ke depan menggunakan data deret waktu (time series) dengan memperhatikan karakteristik pergerakan data dari waktu ke waktu. Metode peramalan yang digunakan dinilai paling sesuai dengan data pencari kerja terdaftar di Kabupaten Lamongan, yaitu Autoregressive Integrated Moving Average (ARIMA) atau yang lebih dikenal sebagai metode ARIMA Box-Jenkins.
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