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yarrap/README.md

About

Hey, there! I am a master’s student currently majoring in Computer Science at the University of Massachusetts, Amherst. I am passionate about Artificial Intelligence, particularly in the realms of Natural Language Processing (NLP), Machine Learning, Deep Learning, and Information Retrieval.

I come equipped with 2 years of experience as a Senior Analyst at Tiger Analytics, where I engaged across diverse domains, including e-commerce, omnichannel, retail, and prominently in CPG. During this tenure, I gained expertise in Python, PySpark, and Azure, putting into practice advanced statistical analysis, predictive modeling approaches like Lasso and Bayesian Regression, as well as various NLP techniques. My recent projects at UMass have focused on enhancing the robustness of Large Language Models in Out-of-Distribution settings, developing an automated model selection framework for tabular data, and building a real-time tag recommendation system for Stack Overflow.

As a Data Science and Analytics intern at RAPP, I built a FastAPI user interface for time-series forecasting using Multivariate LSTM models. Additionally, I implemented BERTopic and Zero-Shot Topic Classification, extracting 13 coherent topics to improve topic assignment

Connect with me:

https://www.linkedin.com/in/priya-yarrabolu/

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  1. manas1999/Robust_LLMS_TO_OOD manas1999/Robust_LLMS_TO_OOD Public

    With an emphasis on In-Context Learning (ICL), our research delves into model's robustness in Out-of-Distribution (OOD) scenarios

    Python 2

  2. AmballaAvinash/ModelSelection AmballaAvinash/ModelSelection Public

    This the repository for Model Selection algorithm on Tabular Dataset

    Jupyter Notebook 1 2

  3. Real-Time-Tag-Recommendation-System-for-Stack-Overflow Real-Time-Tag-Recommendation-System-for-Stack-Overflow Public

    Python

  4. Opportunity-Pipeline-Forecasting Opportunity-Pipeline-Forecasting Public

    The probability of a customer buying a product was forecasted based on several business decision features. Performed Data Preparation, EDA and ran statistical conclusions, prior to fitting Logistic…

    Jupyter Notebook

  5. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Predicting whether a customer will churn or not based on machine learning models

    Jupyter Notebook

  6. CIA-Country-Analysis-and-Clustering CIA-Country-Analysis-and-Clustering Public

    Gain insights into similarity between countries and regions of the world by using clustering techniques.

    Jupyter Notebook 1