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Hi, I'm Mochammad Arie Nugroho

Greetings! I am Mochammad Arie Nugroho, an ardent, self-taught data scientist hailing from Indonesia. I find immense joy in crafting code that leaves an indelible impression on the vast expanse of the web. Python, R, and SQL are my weapons of choice, as they continuously push me to overcome challenges. Triumphing over perplexing problems is a sensation I relish.

When it comes to my programming endeavors, I reserve the honor of gracing Github with my work until substantial strides have been made. However, I warmly invite you to forge a connection by creating pull requests and contributing to any of my repositories. Together, let's embark on a journey of innovation and collaboration.

Coding

  • šŸ”­ Iā€™m currently working as Data Engineer in PT Mitra Talenta Group in Indonesia
  • šŸ‘Øā€šŸ’» Check out my personal website here
  • šŸ“« How to reach me [email protected]
  • šŸ“„ Know about my experiences
  • āš” Fun fact I like playing chess against myself

Languages and Tools:

git matlab mysql opencv pandas postgresql python opencv pytorch Matplotlib

Mochammad Arie Nugroho's Projects

airline-passenger-satisfaction icon airline-passenger-satisfaction

Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier

campus-recruitment-analysis icon campus-recruitment-analysis

EDA and building machine learning model from campus recruitment from kaggle dataset to find out what factors influenced a candidate in getting placed

credit-score-hci icon credit-score-hci

Classification Model for Credit Score using Logistic Regression, Evaluation using AUC and KS

etl-pentaho-credit-card-approval-prediction icon etl-pentaho-credit-card-approval-prediction

This repository contain of ETL process from credit record and application record dataset using Pentaho Data Integration. We merge, clean, and transform data sets into one clean dataset

mall-customer-segmentation-unsupervised-ml icon mall-customer-segmentation-unsupervised-ml

This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form

pca-and-k-means-iris-datasheet icon pca-and-k-means-iris-datasheet

In this repository i try to do Principal Component Analysis(PCA) to reduce the Iris datasheet, from the reducing data I will implement k-means clustering

red-wine-quality icon red-wine-quality

Exploratory data analysis from kaggle dataset of Red Wine Quality, and find the best machine learning model to predict the quality of the wine.

reflecting-bear icon reflecting-bear

Mathematics for Machine Learning. In this repository i will write a Python function that will produce a transformation matrix for reflecting vectors in an arbitrarily angled mirror.

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