Skip to content
View Anshupriya2694's full-sized avatar
Block or Report

Block or report Anshupriya2694

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Anshupriya2694/README.md

Hi there 👋

I am a graduate student at Duke University currently studying for a Master's degree in Data Science. 👩‍🎓

I am a data enthusiast, and I can make data tell stories! Since my childhood, I have been somewhat of an investigator 🕵️‍♀️ (thanks to all the Sherlock Holmes stories), and being a Data Scientist allows me to be one. Working with data adds a certain sense of empowerment as I can innovate and identify trends, patterns, and outliers. This field of work also allows collaborating with individuals with diverse backgrounds. Everyone has something interesting to bring to the table!

My skills include:

  • Programming: Python (pandas, NumPy, Scikit-learn), R, SQL
  • Machine Learning: Linear Regression, Logistic Regression, Decision Tree, SVM, Naïve Bayes, KNN, K-Means, Random Forest, PCA, Gradient Boosting Algorithms
  • Deep Learning: Neural Network, Convolutional Neural Network (TensorFlow2, Keras), Natural Language Processing (NLTK)
  • Data Visualization Tools: Matplotlib, Seaborn, PowerBI, Tableau
  • Cloud: AWS Sagemaker, AWS S3
  • Web Development Tools: HTML, CSS, JavaScript
  • MS Office Tools: Excel, Word, PowerPoint

To know more about me, take a look at the following links:

Pinned

  1. Fake-Job-Posting-Prediction Fake-Job-Posting-Prediction Public

    This is a classifier that uses NLP to determine if a job posting is real or fake

    Jupyter Notebook 11 6

  2. Portfolio-Optimization-Methods Portfolio-Optimization-Methods Public

    This project used Neural Networks and ARIMA to perform portfolio rebalancing. Their performance is measured using MSE and the more efficient algorithm is used to perform realtime portfolio rebalnci…

    Jupyter Notebook 4 1

  3. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    This project uses predictive modeling techniques to identify fraudulent Credit Card transactions on data obtained from European credit card holders made in September 2013.

    R 2

  4. Sentiment-Analysis-Model-on-AWS Sentiment-Analysis-Model-on-AWS Public

    This project constructs a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. It is used creating using Amazon's SageMaker service. In a…

    Jupyter Notebook

  5. Plagiarism-Detection-on-AWS Plagiarism-Detection-on-AWS Public

    In this project, a plagiarism detector is built. The detector examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar the …

    Jupyter Notebook

  6. akshaypunwatkar/Image-captioning-on-flickerdata akshaypunwatkar/Image-captioning-on-flickerdata Public

    Image captioning using deep learning trained and tested using the flicker dataset.

    Jupyter Notebook 1 1