Curriculum Vitae
Dian Azizah Lubis
Information Systems graduate with internship experience as a Data Scientist at Telkom Indonesia. Accustomed to preparing technical documentation, analytical reports, and minutes of team discussions. Experienced in creating dashboards and operational reports with Metabase and Power BI, and understanding the concept of Data Management and system development flow (SDLC and Waterfall). Able to write in a technical language style tailored for users and stakeholders, and has analytical skills, effective communication, good time management, and detail in presenting information.
Juli 2024
UPN VETERAN JAKARTA
S1 • Sistem Informasi • IPK 3.89
Februari 2025 - Juli 2025
AI Engineer Cohort
Laskar AI by Dicoding Indonesia • Magang
Completed 12 intensive learning modules, covering basic to advanced Machine Learning, Data Science, and their application in real projects.
Learned topics such as Python basics, Git, programming logic, data analysis & visualization, and machine learning (regression, NLP, recommendation systems, and model deployment).
Attended 6 ILT (Instructor-Led Training) sessions covering industry case studies, latest technologies, and best practices in building end-to-end machine learning solutions.
Carried out individual mini-projects on the topic of building a machine learning system from scratch using Google Colab, MLflow, Docker, and GitHub.
Improved communication skills through group discussions and presentation of data insights to mentors and other participants.
Collaborated in a Capstone Project to develop a plastic waste detection system using YOLOv8. Responsible for model development and end-to-end documentation, including project plan, progress updates, presentation report, and final project brief submission.
April 2024 - September 2024
Data Scientist
PT Telekomunikasi Indonesia (Persero) Tbk • Magang
Juli 2023 - Desember 2023
Generasi Gigih Data Analyst Apprenticeship
GoTo Impact Foundation • Magang
Learned Python, SQL (with a focus on BigQuery), and data visualization through Looker Studio.
Performed analysis on the “Sleep Health and Lifestyle Dataset” using Python for data preprocessing and developed interactive dashboards in Looker Studio.
Utilized SQL BigQuery to solve 7 analytical challenges and completed 3 industry case studies, including Topic-based Marketing, Brand Ambassador Selection, and User Activity Segmentation, leveraging the StackOverflow public dataset with Python.
Participated in the Career Readiness event and English training for IT professionals by Cakap, enhancing both career preparedness and language proficiency.
Collaborated with Jobhun as an Industry Partner for the final project, creating a Looker Studio dashboard or comprehensive data analysis.
Media
Februari 2023 - Juli 2023
Machine Learning Student
Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka • Magang
Completed 8 specialization courses on Coursera (595 hours), mastering AI concepts and Machine Learning applications to address real-world challenges.
Developed Kitchens Pal in a team-based Capstone Project, an AI-powered solution to detect food freshness, suggest storage recommendations, and recommend recipes based on available ingredients.
1000 Most Active Students in the ILT session (Tech, Soft Skills, and English)
Media
Januari 2023 - Januari 2023
Data Scientist
Project-Based Virtual Intern : Kalbe Nutritionals x Rakamin Academy • Magang
Acquired and applied a comprehensive skill set, including SQL querying, Python Programming, and Machine Learning proficiency.
Successfully completed a project involving SQL data querying to address specific questions, proficiently designing an interactive sales dashboard using Tableau, forecasting daily product quantity sold, and implementing customer segmentation through K-Means clustering.
Oktober 2022 - Januari 2023
Coach of AIESEC Future Leaders
AIESEC UPNVJ • Organisasi
Coached coaching session for a group of 6 members on various topics related to self-development and leadership skills.
Facilitated group discussions to foster relationships among members, encouraged the exchange of perspectives on personal development and leadership skills.
Participated in bi-weekly sessions led by experts, discussed self-improvement topics and addressed challenges in personal and leadership growth.
Developed weekly reflection notes and progress documentation for mentees, improving their engagement with leadership materials.
April 2022 - Agustus 2022
Mentor Staff
PATRIBERA 2022 • Organisasi
Ensure that information related to PKKMB is conveyed and well understood by new students.
Assessing the work that has been done by new students.
Desember 2023
Junior Web Programmer
Badan Nasional Sertifikasi Profesi (BNSP) Lembaga Sertifikasi Profesi Universitas Pembangunan Nasional Veteran Jakarta • 62010.2513.0000746.2023
Media
Mei 2023
TensorFlow: Data and Deployment
Coursera • 99UPD8VDK7NR
Media
April 2023
Machine Learning
Coursera • 3PRU2EBZ6JBC