Hi 👋, I'm Hitesh Waghela

A passionate Data Science and NLP practitioner

🔭 I’m currently working with SenseHQ as a Sr. Data Scientist
🌱 I’m currently learning MLOps, new language models and Chatbot systems
👯 I’m looking to collaborate on problems related to Data Science and NLP
💪 I’m proficient in NLP downstream techniques like - Language modeling, fine-tuning pretrained models, NER, Topic modeling, Information Retrieval, Q&A systems, Conversation Interfaces
👨‍💻 All of my projects are available on GitHub
📝 I'm comfortable with programming languages like [Python, SQL and R](Python, SQL and R)
💬 Ask me about NLP, Data Science and Python
📫 How to reach me [email protected]
📄 Know about my experiences on Linkedin

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Hitesh Waghela's Projects

analytics_vidhya_loan_prediction

My approach for Analytics Vidhya Loan Prediction challenge using Catboost Algorithm.

attrition_analysis_using_randomforest

Application of Random Forest Algorithm on HR data for predicting attrition of employees.

footballer-tweets-sentiment

A Django-based web application to demonstrate sentiment distribution of tweets made by footballers and their teams before and after COVID

hitz02

Config files for my GitHub profile.

lsi-on-newsgroupdata

An attempt to apply latent semantic indexing (LSI) on News Group Data provided by Sklearn datasets

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

multiclass-classifier-using-lstm

A simple attempt to classify multiple news group using LSTM on sklearn dataset

nodejs-cloudantdb-crud-example

Example of CRUD operations on a Cloudant database using a Node.js runtime on IBM Bluemix

pca_on_image_dataset

A simple application of Principal Component Analysis on small Image Dataset

recommend_comp_person_streamlit

This repo contains streamlit implementation of recommender system to recommend person or company based on introduction summaries in python.

tapas-streamlit-app

A simple streamlit app to demonstrate QnA on tabular data using TAPAS framework

twitter-sentiment-analysis

An attempt to classify feelings - positive or negative based on twitter data

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