Salsabila Aurora
@salsabilaaurora
Applied Data Science student skilled in Python, SQL, and data visualization.
What I'm looking for
I am an Applied Data Science undergraduate at Politeknik Elektronika Negeri Surabaya (PENS) with a strong foundation in data analysis and business analytics, maintaining a 3.67/4.00 GPA. I focus on extracting actionable insights using Python, SQL, and visualization tools to support data-driven decisions.
I have completed projects including sentiment analysis and topic modeling on 1,855 IMDb reviews for the TV series The Boys, an Error Correction Model analysis of regional minimum wage in Indonesia, and a Grafana dashboard for scrap value monitoring at PT. ETA Indonesia. These experiences strengthened my skills in time series analysis, NLP, LDA topic modeling, dashboarding, and real-time visualization.
I contribute to campus tech and student-activity organizations, handling event management and liaison responsibilities, and I bring teamwork, problem-solving, and leadership to collaborative environments. I am passionate about continuous learning and adapting to new trends and methodologies in data science.
Experience
Work history, roles, and key accomplishments
Undergraduate Data Scientist
Politeknik Elektronika Negeri Surabaya
Jan 2022 - Present (3 years 8 months)
Undergraduate Applied Data Science student conducting academic projects in sentiment analysis, topic modeling, time-series econometrics, and dashboarding to generate actionable insights from real-world and scraped datasets.
Data Analyst (Project)
PT. ETA Indonesia
Nov 2024 - Nov 2024 (0 months)
Developed a Grafana dashboard for scrap value monitoring and manufacturing KPIs, creating intuitive visualizations and enabling real-time decision-making for operations stakeholders.
Data Analyst (Academic Project)
Independent / Academic
Nov 2024 - Nov 2024 (0 months)
Conducted sentiment analysis on 1,855 IMDb reviews for the TV series 'The Boys' using VADER and TextBlob and performed LDA topic modeling to surface key themes in positive and negative reviews.
Data Scientist (Academic Project)
Independent / Academic
Nov 2024 - Nov 2024 (0 months)
Analyzed short- and long-term relationships affecting regional minimum wage (UMR) using stationarity tests (ADF) and built an Error Correction Model to evaluate adjustment toward long-term equilibrium.
Education
Degrees, certifications, and relevant coursework
Politeknik Elektronika Negeri Surabaya (PENS)
Bachelor of Applied Science, Applied Data Science
2022 -
Grade: 3.67/4.00
Activities and societies: Google Developer Groups on Campus (Event Management); Lembaga Minat Bakat (Internal Division liaison)
Undergraduate Applied Data Science student with a strong foundation in data analysis, business analytics, and practical project experience in sentiment analysis, topic modeling, time-series econometrics, and dashboard development.
Availability
Location
Authorized to work in
Job categories
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