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bkusuma/README.md

Hi there 👋🏾 I’m Bharat

👨🏾‍💻 Data Science Professional

I'm a data scientist passionate about building models that solve real-world problems.

Area Skills
Data Analysis & Modeling Exploratory Data Analysis, Machine Learning, Tensorflow, Pytorch, Transformers (HuggingFace), Pandas, NumPy, A/B testing, Tableau
Databases & Deployment SQL (MySQL, PostgreSQL, SQLite), AI Deployment, Docker
Digital & Social Media Hootsuite, Social Media Strategy, Google Analytics, Sprout Social
Programming Languages Python

🔭 I just finished a data science bootcamp and currently:

  • Analyzing music lyrics
  • Exploring full and part-time opportunities
  • Building cool things

🌱 Some projects I'm excited to share:

  1. My bootcamp capstone: lyrical genre classification model
    • Separates songs into top 10 genres based on lyric count vectors as input
  2. A classification model for Home Credit Group's Kaggle competition
    • Answers the question: is a given applicant capable of repaying a loan?
  3. GitHub template aligning with Kaggle's own file structure
    • I created this for others to be able to use for Kaggle competitions

BTW did you know GitHub Flavored Markdown has footnotes? 1

📫 Drop me a message on alt text

Footnotes

  1. Now you know 👍🏾 and ⚡ fun fact I used to play the clarinet not well ↩

Pinned Loading

  1. home-credit-default-risk home-credit-default-risk Public

    Can I predict how capable each applicant is of repaying a loan?

    Jupyter Notebook

  2. kaggle-competition-template kaggle-competition-template Public template

    A template to simplify getting started with each Kaggle Competition you choose to enter

  3. time-series-project time-series-project Public

    Analyze and model time series data for stock prices

    Jupyter Notebook

  4. lyric-frequency-classifier lyric-frequency-classifier Public

    A classifier using lyric count vectors as input

    Jupyter Notebook