Agung Pambudi 伟大的父亲 ☕️

Agung Pambudi 伟大的父亲

Data Science Enthusiast | Academics | 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 programming — and use them to generate insights from data. In addition to data science, I study 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 Credentials

Google.Cloud
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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CertiProf
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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CertiProf
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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Google
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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IBM
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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HackerRank
It includes subjects related to data structures (such as hash maps, stacks, and queues) and algorithms (such as optimal solutions).
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HackerRank
It covers subjects including SQL pivots, query optimization, data modeling, and indexing.
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HackerRank
It goes through things like receiving data from an API, utilizing parameters, and paging.
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Tableau
Proven expertise in my capacity to employ calculations, LOD expressions, and table calculations to provide new views and insights, as well as to display data trends and projections.
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Tableau
Shown proficiency in establishing connections to data sources, cleaning, merging, and manipulating data, as well as changing a data source attributes and storing those changes.
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Recent Posts

Vector Databases: Optimizing the Storage and Analysis of Vector Data in Scientific, Engineering, and Data Analysis Fields
Vector databases are designed to efficiently store, retrieve, and manipulate large datasets of vectors. They are optimized for vector-based queries and analysis, which means that you can quickly and easily search and manipulate your data.
4 min read Database, Mathematic
Vector Databases: Optimizing the Storage and Analysis of Vector Data in Scientific, Engineering, and Data Analysis Fields
Essential Mathematical Optimization Heuristics for Data Scientists
There are many different optimization heuristics that can be used to solve problems. The choice of technique will depend on the type and size of the problem, as well as the quality of the solution desired.
3 min read Mathematic
Essential Mathematical Optimization Heuristics for Data Scientists
Using Mathematical Models to Predict Stock Prices: An Analysis for Improved Investment Strategies
This study aims to analyze the effectiveness of mathematical models in predicting stock prices and provide insights for improved investment strategies. Through the analysis of historical data and the application of various mathematical models, such as time series analysis, regression analysis, and neural networks.
5 min read Mathematic
Using Mathematical Models to Predict Stock Prices: An Analysis for Improved Investment Strategies
An Exploration of the Efficacy of Gradient Descent as an Optimization Algorithm in Machine Learning and Deep Learning
Gradient descent is an optimization algorithm widely utilized in the fields of machine learning and deep learning for identifying the optimal parameters of a model. It involves iteratively adjusting the parameter values in the negative gradient direction of the loss function, which measures the disparity between the predicted output of the model and the actual output.
7 min read Machine Learning, Deep Learning
An Exploration of the Efficacy of Gradient Descent as an Optimization Algorithm in Machine Learning and Deep Learning
Mathematics is the Language of Nature
Mathematics is the study of patterns and relationships. By exploring these patterns and relationships, mathematicians can create equations and models that accurately predict the behavior of natural phenomena. This is why mathematics is such an important tool in fields such as physics, engineering, and chemistry.
3 min read Mathematic
Mathematics is the Language of Nature

My Publication

Quickly discover relevant content by filtering publications.
Agung Pambudi (2023). Application Of CRISP-DM Using MLR K-Fold On Stock Data PT. Telkom Indonesia (Persero) Tbk (TLKM) (Case Study: Indonesia Stock Exchange 2015-2022). Jurnal Data Mining dan Sistem Informasi, Vol 4, No 1(1).

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Research Papers

Projects by Researchers

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All Deep Learning
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