Photo of Adithya

Hello!

I'm Adithya

A self motivated, passion driven programmer,
Data Science enthusiast and a Web developer.

About

Hi, I'm Adithya, a senior year undergrad at SASTRA University, Thanjavur.
I believe in constant learning and confidently willing to face challenges thrown on my path to suceed my long term goals.
I am a quick learner, always eager to explore new technologies to expand my skill set.
Developing applications and Data Science fascinates me with the insights gained from harnessing the power of data to solve real-world problems.
I consider Machine learning, data analytics and data visualization as my proficiencies.

Skills

Programming Languages: C | C++ | Java | Python

AI and Data Science: Machine Learning | Deep Learning | NLP | Statistical Techniques

Web Technologies: NodeJS | ReactJS | React Native | PHP | Django | Flask

Databases: MySQL | MongoDB

Tools: Power BI | Tableau

Languages: Telugu, Tamil, English

Projects

Credit Card Fraud Detection

Detect fraudulent transactions using machine learning algorithms.

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Movie Recommendation System

Built a system recommending movies using collaborative filtering and Restricted Boltzmann Machines.

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Google Stock Price Prediction

Built a simple stock price prediction model using RNN.

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Restaurant Review Sentiment Analysis

Built a Sentiment Analysis classification model using bag of words model and Naive Bayes.

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Epilepsy Seizure Detection

An Epilepsy detection model using CNN, accelerated with Intel oneAPI.

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Other Projects

My other projects related to AI/ML and web dev.

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Achievements

First place in Intel oneAPI Hackathon

- Developed an epilepsy detection system utilizing EEG data from Bonn University.
- Employed a diverse set of machine learning classifiers and a CNN model to effectively classify EEG signals with the best obtained accuracy of 89%.
- Integrated Intel OneAPI, leveraging hardware acceleration capabilities, leading to a substantial improvement in computational efficiency.

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Poster Presentation

- Co-Authored Unveiling Legal AI: Exploring XAI Techniques with Domain-Specific Transformer Model poster.
- Presented the work in International Conference for FOSS approaches towards Computational Intelligence and Language Technology