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Hello, World! I'm Cahya 👋

A relentless problem solver and avid learner, I've spent the past five years immersing myself in the world of data science, analytics, and AI. With a solid foundation in both technical and business aspects, my passion lies at the intersection of these domains.

Through extensive hands-on experience, I've honed my skills in analyzing complex datasets, designing models, and creating impactful visualizations. As a dedicated professional, I constantly embrace new challenges, aiming to extract valuable insights from the vast universe of data.

🚀 Technical Toolkit

Here's a snapshot of the tools and technologies I've mastered over the years:

  • Programming Languages: Python, R, SQL
  • Data Science Libraries: NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch
  • Data Visualization Tools: Matplotlib, Seaborn, Plotly, Tableau, Power BI, Looker Studio (Data Studio)
  • Data Analysis Techniques: Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Data Modeling, Statistical Analysis
  • Big Data Technologies: Hadoop, Spark, Hive
  • Database Management Systems: MySQL, PostgreSQL, MongoDB
  • Cloud Platforms: GCP, Azure
  • Other Tools & Technologies: Git, Jupyter, Metabase, Docker, Airflow

💌 Let's Connect!

Interested in discussing data science, an upcoming project, or just want to say hi? Let's connect! Reach me on LinkedIn or drop me an email.

Thanks for stopping by! 👋

cahyaputera's Projects

365datascience icon 365datascience

This Repo contains all exercise and resources file from the 365 Data Science Program

amazon-food-reviews icon amazon-food-reviews

This repo contains a demonstration of the Latent Dirichlet Allocation Model (LDA) for topic modelling using Gensim Package, and pyLDAvis to visualize the LDA topics.

asheville-airbnb-analysis icon asheville-airbnb-analysis

Sentiment Analysis and Text Classification using machine learning method on Airbnb dataset from insideairbnb.com

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-fraud-detection icon credit-fraud-detection

Tugas IYKRA Data MBA. Fraud Detection dengan Machine Learning, menggunakan data imbalanced dan dengan jumlah data yang cukup besar, lebih dari 600.000 data.

customer-churn-prediction icon customer-churn-prediction

Churn Prediction on Telecommunication Company. This is a Classification Machine Learning project using Logistic Regression, Random Forest Classifier, and K-Nearest Neighbors Models. Created as a Final Project at Purwadhika Data Science Class.

dsi-jateng-meetup-finetune-smsa icon dsi-jateng-meetup-finetune-smsa

Finetuning SmSA from Data Science Indonesia Jateng Meetup. The project originated from the creators of IndoNLU with some adjustments.

goers-customer-profiling icon goers-customer-profiling

This repo was made to fulfill IYKRA Data MBA Capstone Project requirement using confidential data from goersapp.com database.

hotel_review_nlp icon hotel_review_nlp

NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.

hr-employee-attrition icon hr-employee-attrition

Employee Attrition. Machine Learning Classification problem using two Ensemble Models with hyperparameter tuning and oversampling.

kmeans-hierarchical-clustering icon kmeans-hierarchical-clustering

Tugas IYKRA Data MBA. Unsupervised Machine Learning menggunakan data Kunjungan Wisatawan Mancanegara 2014 dari Jakarta Open Data.

machine-learning-basics icon machine-learning-basics

Basics of Machine Learning Algorithms specifically supervised learning from Simple Linear Regression until Hyperparameter Tuning

materi-r icon materi-r

Data Science Fundamentals on OneTwo Code (Learning Materials using R)

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