Curriculum Vitae
Muhammad Mushab Umair
Portfolio
Saya merupakan mahasiswa Sistem Informasi di Institut Teknologi Sepuluh Nopember yang sangat termotivasi. Saya memiliki minat besar pada teknologi di bidang data dan sistem enterprise. Melalui berbagai pengalaman dalam perkuliahan dan proyek, saya telah mengembangkan keterampilan yang kuat dalam kerjasama tim, organisasi, dan kolaborasi. Selain itu, saya memiliki kemampuan pemecahan masalah dan menciptakan solusi baru serta kreatif. Saya memiliki komitmen yang kuat dalam belajar hal baru dan ingin memberikan dampak positif dalam dunia teknologi informasi.
Sedang berjalan
Institut Teknologi Sepuluh Nopember
S1 • Sistem Informasi • IPK 3.82
Agustus 2024 - Desember 2024
Data Science Intern
PT Telekomunikasi Indonesia (Persero) Tbk • Magang
Developed a churn risk prediction model called Forest Deep Neural Network for Indihome and successfully improved prediction accuracy by 4% using real-life data. Created bounding boxes for object detection in real-time monitoring of 2 live CCTV video feeds. Created user guidance for product service dashboard usage for 5 clients
Media
April 2024 - Sekarang
Head of Technology Development Department
Himpunan Mahasiswa Sistem Informasi ITS • Organisasi
Initiate to make 6 work programs based on student needs, especially in the professional field of Technology. Responsible for planning and monitoring 6 work programs using WBS & Timeline. Responsible for maintaining and documenting the HMSI's website that functionary can use for monitor all events in HMSI
Januari 2024 - Januari 2024
Enterprise System Teaching Assistant
Institut Teknologi Sepuluh Nopember • Part Time
Guiding practicums and evaluation related to Odoo from module Sales Management until Finance & Accounting for 3 weeks. Guiding practicums related to SAP S/4HANA from module Sales and Distribution, Material Management, until Production Planning for 6 weeks. Students are able to identify and conduct the flow of all business process from the given study case using Odoo and SAP S/4HANA
September 2023 - November 2023
Database System Teaching Assistant
Institut Teknologi Sepuluh Nopember • Part Time
Guiding practicums related to ERD (Entity Relationship Diagram) from conceptual, logical, until physical ERD for 5 weeks. Teaches SQL queries (DDL, DML, DQL, Aggregate Functions, Filtering Data, Combining Data) for 3 weeks. Students are able to design a database system with ERD and make customization using SQL queries for 1 case study provided
Mei 2024
Generative AI for Everyone
Coursera • 39J7J3UL22L9
Media
Mei 2024
Structuring Machine Learning Projects
Coursera • HP9YJDP3TBVN
Media
Mei 2024
DeepLearning.AI TensorFlow Developer
Coursera • PYA9EWYZY4DK
Media
Maret 2024
Mathematics for Machine Learning and Data Science
Coursera • DD4K7AZ4TU7U
Linear Algebra for Machine Learning and Data Science
Calculus for Machine Learning and Data Science
Probability & Statistics for Machine Learning & Data Science
Media
Maret 2024
Machine Learning Specialization
Coursera • 5N7WWLJM9W2Z
Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning
Media
Maret 2024
Share Data Through the Art of Visualization
Coursera • SCQLJVEXJU9V
Media
Maret 2024
Analyze Data to Answer Questions
Coursera • T3FQSEFT4VCV
Media
Maret 2024
Process Data from Dirty to Clean
Coursera • LX6B7F9GP9SP
Media
Maret 2024
Belajar Analisis Data dengan Python
Dicoding Indonesia • L4PQQKDN7PO1
- Dasar-Dasar Analisis Data: memahami berbagai konsep dasar analisis data beserta tahapannya (2 Jam 15 Menit).
- Penerapan Dasar-Dasar Descriptive Statistics: mengetahui konsep dasar descriptive statistics dan penerapannya dalam proses analisis data (2 Jam 50 Menit).
- Pertimbangan dalam Pengolahan Data: mengidentifikasi berbagai hal penting yang harus diperhatikan ketika mengolah data (1 Jam 50 Menit).
- Data Wrangling: mengimplementasikan berbagai teknik data wrangling guna menyiapkan data yang bersih dan siap dianalisis. (3 Jam 50 Menit).
- Exploratory Data Analysis: menerapkan berbagai teknik EDA guna memperoleh gambaran terkait data yang dianalisis (3 Jam 20 Menit).
- Data Visualization: Menerapkan berbagai teknik visualisasi data yang efektif guna mempermudah penyampaian hasil analisis data (3 Jam 50 Menit).
- Pengembangan Dashboard: membuat dashboard menggunakan streamlit sebagai media penyampaian hasil analisis data yang interaktif (4 Jam 15 Menit).