Bachelor Management
Bachelor of Management in Human Resource Management.Universitas Indonesia Banking School.
Began academic journey in Management and business strategy.
About
I enjoy transforming raw data into meaningful insights that support strategic decision-making and business growth. Passionate about continuous learning, I am currently developing my skills in data analytics, visualization, and machine learning to create impactful and data-driven solutions.
About Me
Hi, I'm Mutiara — a Management student passionate about Data Science, Data Analysis, and transforming data into impactful insights.
Experienced in analyzing data, identifying trends, and transforming complex information into actionable insights.
Highly interested in business intelligence, machine learning, and strategic problem-solving with a strong commitment to continuous learning and professional growth.
A Management graduate, possessing one year of organizational experience and a professional track record in the banking and mining industries. Key Experience includes developing operational systems and procedures, building and maintaining business-to-client relationships, managing financial administration, and handling corporate cooperation agreements.
Data Analysis
Analyzing and interpreting data to generate valuable business insights.
Machine Learning
Building predictive models and applying machine learning techniques.
Business Intelligence
Transforming complex data into strategic business decisions.
Management
Strong understanding of management, planning, and problem-solving.
Exploring Data Science
Enrolled at Purwadhika Digital Technology School — building end-to-end data science and ML projects.
"Transforming data into meaningful insights to support smarter decisions and impactful solutions."
Analytics
Big Data
Problem Solving
Insights
Skills
Passionate about data science, data analysis, and machine learning with a strong commitment to continuously improving and expanding technical skills. Currently developing expertise in Python, SQL, and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Plotly for data analysis, machine learning development, and data visualization. Continuously learning and exploring concepts including recommendation systems, time series forecasting, feature engineering, and model evaluation through hands-on projects and self-directed learning. Also improving skills in dashboard development and reporting using Tableau and Looker Studio, while utilizing tools such as Google Colab, VS Code, Microsoft Excel, Google Sheets, Canva, and Google Slides to support analytical workflows, presentations, and professional documentation.
Python
Data analysis, automation, and machine learning development.
90%SQL
Managing, querying, and analyzing structured datasets.
88%Data Visualization
Creating impactful dashboards and visual insights.
85%Machine Learning
Building predictive models and classification systems.
80%+
Data Analysis Projects
+
Machine Learning Models
+
Business Case Studies