anshupriya2694,Anshupriya Srivastava,github

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:

Anshupriya Srivastava's Projects

credit-card-fraud-detection

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

datasharing

The Leek group guide to data sharing

ece590_project3

Distributed Image Processing in Cloud Dataproc

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fake-job-posting-prediction

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

flask-application-on-gcp

An interactive dictionary implemented using Python and deployed on GCP App Engine.

ids705

Principles of Machine Learning (Spring 2020). Masters of Interdisciplinary Data Science. Duke University

ml-in-production

This repository comprises of various real-life Machine Learning problems created and deployed using AWS Sagemaker.

modeling-and-represention-of-data

Modeling and Representation of Data (IDS 702) is one of the core courses at MIDS program at Duke University. This repository contains my solutions for the assignments for this course.

plagiarism-detection-on-aws

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 text file is when compared to a provided source text.

portfolio-optimization-methods

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 rebalncing.

sentiment-analysis-model-on-aws

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 addition to that, the model is deployed and simple web app is created to interact with the deployed model.

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