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maudydhiyauf.com
Hello, I'm Maudy!
Mathematics graduate with a strong foundation in statistics, programming, and data analysis. My experience as a Data Analyst at Bank Indonesia has refined my abilities in data analysis,
visualization, and strategic decision-making. Proficient in tools and technologies including Python, TensorFlow, Tableau, MySQL, and SPSS, also Coursera certified. Currently enhancing expertise in Data Science and
Machine Learning through the Purwadhika Bootcamp to further develop advanced analytical and machine learning capabilities.
Data analysis and visualization involve transforming raw data into meaningful insights that drive decision-making. This skill focuses on analyzing complex datasets, identifying trends, and creating visual representations that simplify data interpretation for diverse audiences.
As a Data Analyst, I leverage tools like Python, Tableau, and Power BI to uncover stories within data. This ability ensures data-driven strategies and impactful visual reports that support organizational goals, improving both efficiency and clarity.
Machine learning and predictive modeling are essential for building systems that anticipate outcomes based on historical data. This skill encompasses designing, training, and deploying machine learning models to solve real-world problems.
Using TensorFlow and Python, I create models to predict patterns and trends, supporting smarter decision-making processes. From identifying customer behaviors to forecasting market movements, I apply this skill to deliver precise and actionable predictions.
Database management ensures efficient storage, retrieval, and manipulation of data, while SQL serves as the backbone for querying and analyzing this data.
My expertise includes designing and managing databases using MySQL to ensure seamless access to data. This skill is fundamental in supporting large-scale data operations, maintaining data integrity, and optimizing performance for analytical purposes.
Strategic problem-solving combines analytical thinking with a deep understanding of business challenges to devise effective solutions. It requires identifying root causes, evaluating options, and implementing data-backed strategies.
With experience as a Data Analyst at Bank Indonesia, I approach problems with a strategic mindset, utilizing data insights to craft solutions that align with organizational goals. This skill has been pivotal in supporting policy formulation and achieving measurable improvements.
Effective communication and collaboration are vital for presenting insights and working within teams to achieve shared objectives.
I have moderated events and delivered data-driven insights to diverse audiences, fostering understanding and engagement. My ability to translate technical analyses into clear narratives ensures alignment between stakeholders and actionable outcomes.
Participated in Data Science training, focusing on Python programming, data analysis (MySQL, Pandas, Numpy), data visualization (Seaborn, Matplotlib, Tableau), and machine learning techniques, including supervised and unsupervised learning, feature engineering, time series forecasting, and model deployment.
Thesis: "Comparison of Supply Selection Method (SSM) and Karagul-Sahin Approximation Method (KSAM) on finding Initial Basic Feasible SOlution (IBFS) for Website-Based Transportation Problems."
Completed an intensive program covering IT fundamentals, Python Programming, Machine Learning, and Deep Learning, which solidified my technical skills in data analysis and modeling. Developed a Capstone Project: "Vistique", a smart virtual batik recognizer application using augmented reality to identify motifs, provide cultural insights, and enhance tourism.
Involve in the development of the Climate Risk Stress Test (CRST) model, including data collection, processing, fine-tuning, running the model, and finalizing reports based on data analysis and findings. This model is designed to evaluate how changes in policies, technologies, and other factors related to climate transition can affect the stability and capital resilience of banks in the long term.
As Data Analyst Intern at Bank Indonesia Jambi, I led a research project and supported various economic analysis tasks. I utilized SPSS for data analysis and managed economic reports, including the Regional Economic Summary (RER). I also contributed to updating inflation data and developing survey reports and infographics. My role involved optimizing data workflows, improving presentation quality, and ensuring accuracy in tracking financial trends and policy insights.