Salsabila Hasna Fitria Email & Phone Number

Hasna is a 7th semester mathematics student at Yogyakarta State University. She started her Machine Learning journey in 2022 and in 2024, She joined the independent study program by Kampus Merdeka at bangkit academy 2024 batch 1 with the learning path machine learning. She graduated with an A grade. She is someone who is interested in Machine Learning and Artificial Intelligence. Have project experience in several fields: Machine Learning, Deep Learning like Convolutional Neural Network with TensorFlow and Artificial Neural Network, Digital Image Processing, Data Analytics(processing data by using Python such as EDA or R in statistical tests), Data Mining, Decision support systems, and Object-based programming. In addition, she has experience in research and creative media.Hasna’s current and past activities include:• 6th semester student of Mathematics study program at Yogyakarta State University• Cohort of Bangkit Academy 2024 Batch 1 in the field of Machine Learning• Volunteer in the field of Into The Light Media Division, Yayasan Insan Teman Langit• Member of Google Developer Student Clubs-Universitas Negeri Yogyakarta• Hacker team member in INFINITE Division of UNY Technology Engineering Student Activity Unit• Data analyst in the Data and Information Division of BMKG Climatology Station Yogyakarta• Creative team staff in volunteer Scholars Yogyakarta Batch 6• Creative team leader in volunteer Scholars Yogyakarta Batch 7• Bronze Medal in MIPA (Mathematics and Natural Sciences) Road to Scientific Paper Competition "MARS"#9 Go Southeast Asia in 2022• Finalist in Student Creativity Program Competition of Indonesian MIPA LPTK Association (AMLI) 2022 National LevelHasna’s technical skill : Python Programming, Machine Learning/ Deep Learning (ANN, CNN), SQL, R, TensorFlow, Digital Image Processing (OpenCV, Scikit-Learn), Decision support systems (Fuzzy Logics, TOPSIS, AHP, and SAW), Data Mining Statistics (Clustering, Classification, Decision Tree), OOP, Statistics (decriptive/EDA, Statistic test (Chi-Square Test, Regression analysis, Two sample t-test, Mann Whitney U test)).Hasna’s portofolio includes Machine learning/deep learning, data mining statistics, OOP, data analytics, decission support system, and digital image processing. Her side portofolio includes, editorial design for social media content.Hasna is always willing and eager to collaborate, especially projects related to ML/Deep Learning, Data analytics, data science. For inquiries, She is available via email at hasnabila591@gmail.com.

• 

  Universitas Negeri Yogyakarta

  Mathematics