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umangU/README.md

Hey there, I'm Umang

👨  About Me

  • 😄 Pronouns: He/Him/His
  • 🔭 I’m currently working on: a multivariate time-series forecasting modelling project
  • ❤️ My favorite language: SQL
  • 🌱 I’m currently learning: Recurrent nueral nets
  • 💼 I’m always looking to collaborate with: people from any field
  • 💬 Ask me about: anything, I am happy to help
  • 🌍 I support: KoBo Toolbox, Child's Play, Intelehealth, Code For Progress
  • 💜 Interests: philosophy, travel, olympic lifting, internet culture, video games

🛠  Tech Stack

  • 👾   Python POSTGRESQL R
  • 🌐   Tableau RStudio MSExcel Atom
  • ⚙️   Git GitHub
  • 💻   Windows iOS

📝 Recent Projects

Neural Networks:

Implementing Feed-Forward neural networks on the "Wool" dataset while looping through 1-7 hidden units and changing the train/test ratio.
Libraries Utilized: neuralnet

Propensity Modelling:

SQL Stored Procedures with R's external scripts to predict a client's probability of defaulting on loan using support vector machines.
R-based web application that allows a user to upload a dataset and get the prediction on client's likelihood of defaulting on loan.
Libraries Utilized: readxl, e1071, shiny, shinydashboard, shinythemes

Appointment Data Analysis:

Analyzing and comparing supervised-classification models on the "Appointment1000" dataset.
Libraries utilized: MASS, class, caTools

🤝🏻  Connect with Me


LinkedIn  Twitter  Gmail 


stats card guy


visitors

Pinned

  1. Propensity-Model Propensity-Model Public

    R

  2. Neural-Networks Neural-Networks Public

    Feed Forward Neural Networks

    R

  3. KNN-KFold KNN-KFold Public

    R

  4. Movies-DB Movies-DB Public

    Java

  5. Clustering-Models Clustering-Models Public

    R

  6. Principal-Component-Analysis Principal-Component-Analysis Public

    R