Curriculum Vitae
MOHAMAD IBNU FAJAR MAULANA
Data Science student at Universitas Pembangunan Nasional "Veteran" Jawa Timur with hands-on experience in data analysis, machine learning, and business intelligence. Skilled in using PostgreSQL, Metabase, Google BigQuery, and Power BI to analyze and visualize data for actionable insights. Experienced in building event tracking systems, sales funnel analyses, and evaluating product performance. Proficient in business analysis, including analyzing profitability of new digital products, monitoring profitability of existing products, and evaluating business performance and profitability. Completed the Bangkit Academy program, focusing on machine learning and TensorFlow applications. Passionate about transforming data into practical solutions to support decision-making and drive business success.
Sedang berjalan
Universitas Pembangunan Nasional Veteran Jawa Timur
S1 • Data Science • IPK 3.78
April 2024 - September 2024
Data Scientist
PT Telekomunikasi Indonesia (Persero) Tbk • Magang
April 2024 - September 2024
Data Scientist
PT Telekomunikasi Indonesia (Persero) Tbk • Magang
Conducted comprehensive data analysis using PostgreSQL in DBeaver, including customer behavior analysis, RFM segmentation, revenue trends, and product performance evaluation, visualized through Metabase dashboards. Designed and implemented event tracking systems to monitor user activity on apps and websites, utilizing tools such as Google BigQuery, Google Analytics, and Google Tag Assistant for actionable insights. Created sales funnel analysis and visualizations using Power BI to provide in-depth performance metrics for digital products. Collaborated with cross-functional teams, including developers and UI/UX designers, to propose data-driven enhancements to digital product features. Evaluated the business performance of digital products, identifying profitability trends and recommending strategies for optimization based on data insights.
Media
Januari 2023 - Januari 2024
Machine Learning Engineer
Bangkit Academy - Yayasan Dicoding Indonesia • Magang
As a Machine Learning Engineer seeking to acquire advanced knowledge in machine learning through proficiency in programming languages such as Python, R, and MySQL. Refining skills in data integration, analysis, and visualization for more effective insights. Implementing TensorFlow within a deployment framework to integrate and optimize machine learning applications.
Media
Januari 2022 - Januari 2022
Liaison Officer
KMI EXPO 2022 - Direktorat Jenderal Riset dan Teknologi • Part Time
Coordinating activities of student entrepreneurship in Indonesia. Providing students with up-to-date information about entrepreneurial opportunities, funding programs, competitions, and other resources that can assist them in participating in Kewirausahaan Mahasiswa Indonesia (KMI EXPO 2022). Building and maintaining strong relationships with various stakeholders, including students, lecturer, industry professionals, government representatives, and inter-university connections.
November 2023
Google Coursera
Google • WXGA5MLMUQDJ
Learn how to use TensorFlow.js to run models in the browser and prepare and implement models on mobile devices using TensorFlow Lite.
Media
November 2023
Google Coursera
Google • UVPP6PTEZT5G
Learn TensorFlow best practices for training neural networks in computer vision applications and building natural language processing systems with TensorFlow, including applying RNNs, GRUs, and LSTMs to text data to improve model performance.
Media
Oktober 2023
Google Coursera
Google • B55CNEKP4JCB
Learn to build machine learning models with NumPy, scikit-learn, and TensorFlow for a variety of tasks, from binary classification to developing deep reinforcement learning models, and apply best practices in machine learning development.