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Data Science Portfolio - Guberan

      This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my skills. It is updated on the regular basis.

Competitions

       The goal of this competition is to assess the quality of summaries written by students in grades 3-12. Paticipation will build a model that evaluates how well a student represents the main idea and details of a source text, as well as the clarity, precision, and fluency of the language used in the summary.

I can find my solution here

Projects

Movie Recommendation Application

In this project I make Recommended system for Movies based on user liked movie collection. It more efficient and Accuracy By using SVD algorithm that trained on MovieLens Dataset.
It live now

Crunchyroll Web Scraping and Basic Analysis

In this project I make data pipeline from crunchyroll websites scraped data, ETL process scripts and gather few insights of crunchyroll anime community


Micro Projects

  • Random Analysis

    • Simple Analysis of Cardiovascular Diseases Risk Prediction Dataset that present on kaggle notebook

Core Competencies

  • Methodologies: Machine Learning, Deep Learning, Time Series Analysis, Natural Language Processing, Statistics, Explainable AI, A/B Testing and Experimentation Design, Big Data Analytics
  • Languages: Python (Pandas, Numpy, Scikit-Learn, Scipy, Keras, SeaBorn, Matplotlib), SQL, C++, Rust, Javascript, HTML, CSS
  • Tools: MySQL, PowerBI, Git, PySpark, MS Excel, Nltk, Transformers models(such as bert, gpt2, deberta-v3, etc..)

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