Mining Digital Twin
Reconstruct historical mining fleet activity with interactive 3D visualization to uncover patterns, optimize performance, and support better decision-making.
I am an Operations Research Engineer with extensive experience in extracting, analyzing, and visualizing large datasets to provide insights and actionable recommendations for operational efficiency and strategic decision-making especially in the manufacture and mining industry. I am keen to advance my expertise in data science to further enhance my skills and contributions.
As an Operations Research Engineer, I specialize in extracting, analyzing, and visualizing large datasets to generate insights and actionable recommendations. My expertise lies in optimizing operational efficiency and supporting strategic decisions, with a particular focus on the manufacturing and mining sectors. I have a strong background in data manipulation using PostgreSQL, Microsoft SQL Server, and SQLite, as well as data processing with tools such as Python, KNIME, Microsoft Excel VBA, REST API, Pandas, Seaborn, and TheFuzz. Additionally, my skills in data visualization include proficiency in SQL Server Reporting Services, Power BI, Advizor, HTML, CSS, and Microsoft PowerPoint.
I also have experience in maintaining Ubuntu servers, ensuring smooth data operations and infrastructure management. I am passionate about advancing my expertise in data science and continuously enhancing my skills. My goal is to uncover deeper insights and deliver impactful results for organizations, driving improvements and strategic growth.
Reconstruct historical mining fleet activity with interactive 3D visualization to uncover patterns, optimize performance, and support better decision-making.
Executive KPI summary plus property finder dashboard in Power BI for market monitoring, regional comparison, and listing-level exploration.
Production-style Python pipeline to scrape Properti123 listings, normalize address data, store it in PostgreSQL, and serve ready-to-use records through Flask APIs.
I am a graduate of Industrial Engineering with a GPA of 3.74/4.00, equipped with expertise in both engineering and management. I possess the skills to design, implement, manage, and optimize comprehensive systems that integrate people, machinery, materials, energy, and information.
Courses learned during study:
PIMNAS is the final stage competition of the Student Creativity Program (PKM), a national scale forum for students to present and communicate through intellectual creations. As the peak of national-scale student scientific activities, PIMNAS is organized in Higher Educations, designated by the Directorate General of Belmawa based on the leaders willingness and agreement
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Design Competition for Industrial System and Environment (DESCOMFIRST) is design competition about Industrial Engineering organized by Himpunan Mahasiswa Teknik Industri Universitas Sebelas Maret (Industrial Engineering Student Association of Sebelas Maret University). DESCOMFIRST 2020 is aimed to develop creativity and innovation of student, that can be reached by designing eco-friendly products or equipments. DESCOMFIRST consists of 3 stages of selection. The first stage is the Mini Proposal Concept Selection, the second stage is Full Proposal Selection and the third stage which is include a Presentation and Public Exhibition (EXPO).
Below are what we bring to achieve this accomplishment:
Touch, Explore, Thrive: A Revolutionary Tactile Board Game for Blind Toddlers