Chandreyi Chowdhury (Chan-dre-yi)

Chan-dre-yi

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Home Page:https://chan-dre-yi.github.io/my-CV/

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Chandreyi Chowdhury's repositories

POWER-CAST

This project is a time series forecasting model using the Temporal Fusion Transformer (TFT) deep learning architecture. The model is trained and evaluated on the M4 competition dataset, achieving state-of-the-art results in multi-step forecasting tasks.

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SEN-TUBE

A model to extract comments from a YouTube video to create a dataset and to apply sentiment analysis that provides the YouTuber with a better understanding of viewer sentiment distribution.

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19MIY0031_Chandreyi_AI_LAB

This is a cloned repository, original one by: fakemonk1 named: AI-Search-Algorithm-Implementations. We used this repository to implement and document several commits to the existing code for our LAB EXPERIMENTS of the subject ARTIFICIAL INTELLIGENCE FOR DATA SCIENCE.

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DAMAGE-DETECTIVE

The Hurricane Harvey dataset is analyzed and visualized to help an insurance company allocate resources according to the extent of damage caused by the 2017 hurricane, which claimed over 100 lives.

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DATA-ZIP

The algorithm compresses text files using less memory by encrypting and decrypting them as needed with a greedy approach based on symbol frequency, allocating more space to frequent symbols.

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my-CV-dot-web

A responsive web page displaying the contents of my resume, made using HTML, CSS and JavaScript.

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STRATE-GENIUS

This project uses Global Firepower Index dataset to explore India's potential in becoming a dominant force in global military power using Excel's What-If Analysis and Solver.

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industry-4.0-exploratory-data-analysis

An exploratory data analysis of an Industry 4.0 dataset uncovered insights indicating that Business Intelligence and IoT systems will have the greatest impact in the field over the next decade.

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total-quality-management-in-ford-model-t

We worked as a team on this project, where we reviewed Henry Ford’s breakthrough innovations by referring to various Research Papers that earned him a millennium, and how those innovations co-relate with current Total Quality Management practices.

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