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Sarah Sihombing

Sarah Sihombing

Data Analyst

Talenta
SurabayaAnggota sejak 18 Oktober 2026
PythonSQLSPSSTableauMicrosoft Power BILooker StudioText PreprocessingTF-IDFTopic ModelingNatural Language Processing (NLP)Spatial AnalysisSpatial ModelingMultiscale Geographically Weighted Regression (MGWR)Spatial HeterogeneityPublic SpeakingTime ManagementProblem Solving
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PythonSQLSPSSTableauMicrosoft Power BI

Tentang

Data Science undergraduate student with hands-on experience in data analysis, statistical modeling, machine learning, and data visualization. Proficient in Python, R, and SQL, with experience applying statistical and machine learning methods to structured, unstructured, and spatial data. Experienced in exploratory data analysis, predictive modeling, clustering, natural language processing, and spatial analysis.

Certified BNSP Data Analyst with strong analytical, problem-solving, and communication skills, seeking opportunities to contribute as a Data Scientist.

Pengalaman

Researcher & Presenter at DISCOVER 2025 (2025-11 – 2025-11)

Spatial Modeling of Educated Unemployment in East Java Using Multiscale Geographically Weighted Regression (MGWR)

  • Analyzed BPS 2023 socioeconomic data from 38 districts/cities in East Java to investigate factors associated with educated unemployment.
  • Developed Ordinary Least Squares (OLS) as a global baseline model before applying MGWR.
  • Applied Multiscale Geographically Weighted Regression (MGWR) to identify spatial heterogeneity in relationships between socioeconomic factors and educated unemployment.
  • Evaluated and compared model performance using R² and AICc and interpreted local coefficients and spatially varying relationships across districts and cities.

EVENT at GELAR RASA 2023 (Gerakan Belajar Bersama Sains Data 2023) (2023-09 – 2023-11)

  • Act as the moderator during the technical meeting session with 83 teams from all Universities over Indonesia.
  • Prepared the event concepts and conducted research related to the theme of Natural Language Processing by using Python.

EVENT at SENADA 2023 (Seminar Nasional Sains Data 2023) (2023-03 – 2023-05)

  • Developing a strategic event centered around Leveraging Data Science to Fortify the Creative Digital Economy Amidst Global Economic Challenges.
  • Facilitating seamless coordination with both internal teams and external speakers to optimize event execution and attendee experience.

HEAD OF EVENT DIVISION at PEMIRA HIMASADA 2022 (Pemilihan Umum Raya Himpunan Mahasiswa Sains Data 2023) (2023-01 – 2023-02)

  • Lead and coordinate the planning, execution, and evaluation of all event-related activities for the PEMIRA HIMASADA 2023.
  • Engage the audience by fielding questions, moderating Q&A sessions, and encouraging participation through various interactive methods.

MODERATOR at SADA SIAP PKM 2022 (Sains Data Siap Program Kreativitas Mahasiswa 2022) (2022-11-12 – 2022-11-12)

  • Facilitate and guide discussion during live events between 122 participants and 2 speakers, ensuring smooth transitions between segments.
  • Engage the audience by fielding questions, moderating Q&A sessions, and encouraging participation through various interactive methods.

PUBLIC RELATION at SAKRAL 2022 (Sada Kenal Akrab 2022) (2022-09 – 2022-11)

  • Securing media partners and sponsorships that can assist in funding the events, specifically acquiring sponsorship from PT. Pelindo.
  • Providing clear and organized information regarding schedules, themes, and activities conducted through Instagram and WhatsApp social Media Platforms

Pendidikan

Data Science in Faculty of Computer Science – UPN “Veteran” East Java (2022)

Keterampilan

Data Analyst

Ulasan

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