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Hi šŸ™‹, I'm Jiya

A former software and web programmer at Advait Systems and an HR Associate at BMH Healthcare. Now, I'm eagerly transitioning into the exciting field of data science, fueled by my passion for working with data. It's a journey I'm truly enthusiastic about, combining my programming background with a newfound love for delving into the world of data. Let the data-driven adventure begin! šŸ˜šŸ“Š #DataScienceEnthusiast

jiyamaryjoseph

  • šŸ’» Iā€™m currently working on Deep Learning/Machine Learning Projects

  • šŸ“ˆ Iā€™m currently learning Data Science

  • šŸ¢ Iā€™m looking to collaborate on Many Projects Related to Machine Learning

  • šŸ—‚ļø All of my projects are available at my repositories

  • šŸ’¬ Ask me about Data Science

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact I think I am explorer

  • šŸ“Š https://public.tableau.com/app/profile/jiya.joseph2295/vizzes

Connect with me:

jiyamary [@jiya](https://www.linkedin.com/in/jiya-mary-joseph-a3892a218/) [@jiya](https://www.kaggle.com/jiya7316)

Languages and Tools:

aws azure bootstrap c cassandra cplusplus csharp css3 django docker flask gcp git grafana html5 javascript kafka kubernetes linux mongodb mssql mysql nginx opencv pandas postgresql python pytorch scikit_learn seaborn tensorflow

Ā jiyamaryjoseph

Data_bird's Projects

amazon-alexa-sentimental-analysis icon amazon-alexa-sentimental-analysis

This repository contains a project that leverages natural language processing (NLP) and deep learning techniques to perform sentiment analysis on Amazon Alexa customer reviews.

customersegmentation icon customersegmentation

I am currently engaged in exploratory data analysis (EDA), which serves to glean insights from the data for both present understanding and informing future predictions using AI algorithms.

datascienceprojects icon datascienceprojects

These are the projects we start with.......It is my gurudakshina for all my mentors especially for best mentors Dhaval sir..

fake-news-predictor-using-lstm icon fake-news-predictor-using-lstm

This repository contains an implementation of a Long Short-Term Memory (LSTM) model to predict fake news from a given text corpus. The project is developed entirely within a single Jupyter Notebook for ease of understanding and reproducibility.

kafka-consumer-as-cassandra icon kafka-consumer-as-cassandra

The Confluent Kafka Consumer as Cassandra repository offers a Python-based solution to seamlessly transfer data from Apache Kafka topics to Apache Cassandra, facilitating real-time data processing and storage with simplicity and efficiency

laptop-price-prediction icon laptop-price-prediction

This project aims to help consumers estimate laptop prices based on features, addressing the challenge of choosing the right laptop for work, education, or entertainment. The goal is to provide a useful tool for consumers to predict laptop prices more accurately.

news_headlines-stock-market icon news_headlines-stock-market

This repository contains a project that analyzes sentiment in Amazon Alexa customer reviews using natural language processing (NLP) and deep learning techniques. The project aims to classify sentiments expressed in reviews as positive, negative, or neutral, employing machine learning models such as LSTM networks for accurate classification.

nextword-generation icon nextword-generation

an implementation of a Long Short-Term Memory (LSTM) neural network for next word prediction using a given text corpus.

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