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sksingh10/README.md

Hi there 👋 I am Shashank Kumar Singh!

👨‍💻 Why am I here❓❓

  • "‘Data Science’ is defined as what ‘Data Scientists’ do." - here to contribute to the defination of data science.
  • 🔭 On the lookout for fulltime oppurtunities in the field of Data Science.
  • 🧍‍♂️🧍‍♀️ To showcase my learnings and collaborate with other awesome people. 💻

🧑‍🎓 What am I❓❓

👨‍🎓 I am currently a : Student 📖

  • Pursuing my Masters in Information Systems Management with a concentration in Business Intelligence and Data Analytics @ Carnegie Mellon University.
    Training
    • 1. 10-601 : Introduction to Machine Learning
    • 2. 95-703 : Database Mangement
    • 3. 95-869 : Big Data and Large Scale Computing
    • 4. 95-819 : A/B Testing, Design and Analysis
    Validation
    • During the summer worked as a Data Science Intern @ ServiceLink.

💼 I was previously an : Employee 🏙️

  • Worked as a SAP Package specialist @ IBM.

🤵 Who am I❓❓

  • I am a Data Science enthusiast currently moving into the testing phase of my model called "Life as a Data Scientist".
  • I am also a passionate soccer player + fan ⚽, who also loves streaming netflix, animes 📺, and reading books 📚.
  • Best in Languages and Tools : Python, SQL, PySpark, Java, JavaScript, MS Office,VS Code, GitHub, Anaconda.

Connect with me on!

Linkedin Badge Insta Badge

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  1. Classification-of-Spam-Emails Classification-of-Spam-Emails Public

    The dataset includes a combination of "spam" and "ham" emails. Spam emails are unsolicited messages intended to sell a product or scam users into providing personal information, while ham emails re…

    Jupyter Notebook 1

  2. SentimentAnalysis-using-LSTM SentimentAnalysis-using-LSTM Public

    In this problem, we look at predicting whether a tweet has positive or negative sentiment.

    Jupyter Notebook

  3. Topic-Modelling-of-Mobile-App Topic-Modelling-of-Mobile-App Public

    Think of Android applications as "documents", where "words" are the "permissions" that each app requests. Each app has a set of latent "purposes" (topics); a "purpose" may be a specific task (such …

    Jupyter Notebook

  4. Click-Through-Rate-CTR-prediction-model Click-Through-Rate-CTR-prediction-model Public

    Creating a click-through rate (CTR)prediction pipeline.

    Jupyter Notebook

  5. PredictSongYear PredictSongYear Public

    This problem covers a common supervised learning pipeline, using a modified version of the Million Song Dataset from the UCI Machine Learning Repository. Our goal is to train a linear regression mo…

    Jupyter Notebook

  6. SamsungiPhoneCostumerReview SamsungiPhoneCostumerReview Public

    Understanding consumer posts, comments, and reviews on Samsung Galaxy S8 and iPhone 8 and X models before and after the launch.

    HTML