Researched huge volume of Twitter data (~5 million words) to identify sentiment within the group with 85% accuracy and published the findings as a research paper in the International Conference on Data Mining, Big Data, Database and Data Management (ICDMBDDDM 2021).

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Developed and implemented a pragmatic Question & answering (QA) model that automatically researches 1000s of pre-loaded public research papers by matching the question key words to provide a response to the user’s COVID related questions/concerns.

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Developed and implemented a language translation model that translates the source language to the target language using RNN Sequential model to bridge the gap between human communication with an accuracy of 89%.

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Performed a thorough case study on a large healthcare dataset (~1/2 million data) to implement data privacy & visualize patient statistics like patient count for different diagnosis to find patterns & capture insights.

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Designed a Marketing strategy for a newly formed Charlotte Soccer team by collecting customer feedback surveys to find the public interests on the team, interpreting & visualizing the results that helped the team in promoting the sport & targeting specific audiences by 30%.

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Designed and implemented an autonomous bot that takes in product specifications and emails the consolidated results from internet searches with 90% accurate results.

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Created and trained a machine learning model to compare different algorithm accuracies in finding human lifespan from various economic and public health data collected from WHO & United Nations website.

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Analyzed supermarket sales data and deployed interactive dashboards which helps the company in decision making when evaluating each store's sale over the time period.

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