Agung Pambudi ☕️

Agung Pambudi

Data Science | T-Shaped | Lifelong Learner | Sightseer

As a data science enthusiast with a specialization in the finance and business domains, I have a solid foundation in the three key fields of data science - mathematics, statistics, and computer science — and use them to generate insights from data. In addition to data science, I learn human psychology* in my spare time to understand how to observe, identify, and comprehend human behavior and thought processes using a scientific approach. I am interested in using insights from psychology to improve the effectiveness of data-driven business decisions. I have realized that I possess a growth mindset, a drive for continuous improvement, and a constant eagerness to seek new ways to learn and develop skills.


My Publications

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(2024). Prediction of Telecommunication Company Stock Price using Multiple Linear Regression. Institute of Electrical and Electronics Engineers (IEEE).

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My Credentials

Cloud Digital Leader understands the capabilities of Google Cloud’s core products and services, as well as how they help enterprises. The Cloud Digital Leader may also explain common business use cases and how cloud technologies benefit an organization.
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Business Canvas Essentials is a helpful and informative guide for data scientist who want to develop and implement novel business ventures that depart from conventional business models. It explores fresh ideas for how to comprehend and represent various business units in a simple and useful manner. It is crucial to do research and create new business models that analyze and depict these changes so that they may be expressed in writing. This is because innovation is rapidly growing and developing in all areas that surround our everyday actions and emotions.
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The goal of this certification program is to instruct students in the basics of business intelligence. Both broad subjects, like the development of BI, and technical topics, such as the usage of keys to establish table connections in a data model, will be covered. Today is most popular business intelligence technologies will be examined, along with the numerous advantages they offer to enterprises and corporations.Business intelligence empowers teams to use data and extract knowledge from it, enabling quick and effective decision-making.
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The six-course certificate program was created by Google to give IT workers in-demand skills, such as Python, Git, and IT automation, so they may enhance their careers. They should have a solid foundation in using Git and GitHub, troubleshooting and debugging difficult issues, and applying automation at scale using configuration management and the cloud.
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Write Python code to conduct statistical tests like the T test, ANOVA, and regression analysis. Python programming may be used to compute and illustrate descriptive statistics. Analyze the statistical analysis results after performing hypothesis testing.
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It includes subjects related to data structures (such as hash maps, stacks, and queues) and algorithms (such as optimal solutions).
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It covers subjects including SQL pivots, query optimization, data modeling, and indexing.
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It goes through things like receiving data from an API, utilizing parameters, and paging.
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Recent Posts

Projects by Researchers

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Convolutional Neural Network
A system for interactive visualization has been created to assist individuals without expertise in understanding Convolutional Neural Networks (CNNs).
Convolutional Neural Network
Machine Learning Animations
An interactive visualization has been created to assist individuals in understanding Machine Learning Algorithms.
Machine Learning Animations
Neural Network Architecture Schematics
The aim of this tool is to assist individuals in saving time, with the expectation that it will help them understand neural network architecture.
Neural Network Architecture Schematics
Machine Learning University
Machine Learning University (MLU) constitutes an educational endeavor by Amazon, aimed at imparting knowledge on machine learning theory and its practical implementation.
Machine Learning University
Data Analyst
Data Scientist
Machine Learning Engineer