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👋 Hi, I'm Atharva Rajesh Gurav

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I'm a Master's student in Computer Science at Indiana University, passionate about software development, data science, and machine learning. With a solid foundation from my Bachelor's at Dr. Vishwanath Karad MIT World Peace University, I'm driven by the power of data and technology to solve complex problems.

🔭 I've contributed to cutting-edge projects, such as enhancing an Energy Planning System prototype to significantly reduce energy costs for construction firms and developing a fully functional SimCity game replica in just 7 days. My work in Deepfake Audio Detection with XAI has achieved a remarkable 91.5% accuracy, showcasing my ability to blend technical expertise with innovative solutions.

💡 I'm intrigued by the power of data to transform industries and am always on the lookout for challenging projects that push the boundaries of what's possible with technology.

👨‍💻 My GitHub is a reflection of my journey in the tech world, featuring projects from Employee Attrition Prediction using PySpark and MongoDB to impactful analysis on the Post-Covid health of patients using Machine Learning and Data Visualization.

🌱 I'm currently diving deeper into Computer Vision and Genetic Algorithms, aiming to leverage these technologies for sustainable and efficient solutions.

📫 How to reach me

Feel free to connect with me for collaborations or just a chat about the latest in tech and innovation.

Atharva Gurav's Projects

565-fall2023-datamining icon 565-fall2023-datamining

The project is centered on mastering data mining techniques to analyze a dataset for predicting diabetes risk. It focuses on applying various methods to classify individuals into health categories and identify key lifestyle factors affecting diabetes risk, highlighting the educational aspect of learning through data analysis.

bloodbank-management-system icon bloodbank-management-system

The Blood Bank Management System is a comprehensive solution developed with PHP, MySQL, HTML, and CSS, aimed at efficiently managing blood bank operations. This system facilitates donor and recipient information management and ensures effective monitoring of blood stock.

deepfake-audio-detection-with-xai icon deepfake-audio-detection-with-xai

This project focuses on detecting deepfake audio using advanced neural network architectures like VGG16, MobileNet, ResNet, and custom CNNs. It incorporates explainable AI (XAI) methods like LIME, Grad-CAM, and SHAP to enhance detection accuracy and provide insights into model predictions.

demo_form icon demo_form

Demo form made with html, css , php and sql using xampp

employee-attrition icon employee-attrition

This project combines data analysis and Tableau visualization to understand and predict turnover, using the Random Forest Classifier for insight. It aims at enhancing retention strategies through comprehensive data-driven insights, showcasing the integration of analytical rigor with visual analytics to tackle employee attrition effectively.

leetcode-150 icon leetcode-150

Completing the leetcode-150 challenge and documenting the work online.

nlp_kaggle_comp icon nlp_kaggle_comp

This repository contains the code and dataset for the Kaggle competition on predicting whether a tweet is about a real disaster or not. It uses machine learning techniques to classify tweets based on their content.

post-covid-syndrome icon post-covid-syndrome

This project focuses on studying the long-term symptoms following COVID-19 recovery. It includes an analysis of how smoking, stress, and anxiety affect COVID-19 outcomes and utilizes the Random Forest Classifier to predict post-COVID conditions, highlighting fatigue as a significant lingering symptom.

zero-to-mastery-ml icon zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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