08/23/2026 updated
100 % available
Computer Science Student & Web Developer with Machine Learning Experience
Ghaziabad, India
Only remote
Bachelor of Technology in Computer Science and EngineeringJavaScriptWeb DevelopmentNode.jsWeb Application DevelopmentReact.jsProgramming Languages
Web Development
Proficiency in HTML, CSS, JavaScript, ReactJS, NodeJS, and ExpressJS for building web applications and e-commerce platforms.
Machine Learning & Sentiment Analysis
Hands-on experience implementing and training sentiment analysis models including Naive Bayes, SVM, RNNs, CNNs, and Transformer-based models like BERT, with evaluation using accuracy, precision, recall, and F1-score.
Programming Languages
Knowledge of multiple programming languages including C, Java, HTML, CSS, and JavaScript, applied across various academic and project contexts.
Frameworks & Technologies
Experience with ReactJS, NodeJS, and ExpressJS for full-stack development projects.
Database Management
Coursework in Database Management Systems and Object Oriented Programming as part of the Computer Science curriculum.
Algorithms & Computer Networks
Academic background in Design and Analysis of Algorithms, Computer Networks, and Operating Systems.
Development Tools & Platforms
Familiarity with tools and platforms such as Git, GitHub, Visual Studio Code, JDK, Windows, Linux, and Web environments.
Coding Platforms
Active participation on coding platforms including Geeks for Geeks, LeetCode, and Code Chef.
Model Deployment
Experience deploying trained machine learning models for real-world applications, integrating them into web applications or APIs.
Proficiency in HTML, CSS, JavaScript, ReactJS, NodeJS, and ExpressJS for building web applications and e-commerce platforms.
Machine Learning & Sentiment Analysis
Hands-on experience implementing and training sentiment analysis models including Naive Bayes, SVM, RNNs, CNNs, and Transformer-based models like BERT, with evaluation using accuracy, precision, recall, and F1-score.
Programming Languages
Knowledge of multiple programming languages including C, Java, HTML, CSS, and JavaScript, applied across various academic and project contexts.
Frameworks & Technologies
Experience with ReactJS, NodeJS, and ExpressJS for full-stack development projects.
Database Management
Coursework in Database Management Systems and Object Oriented Programming as part of the Computer Science curriculum.
Algorithms & Computer Networks
Academic background in Design and Analysis of Algorithms, Computer Networks, and Operating Systems.
Development Tools & Platforms
Familiarity with tools and platforms such as Git, GitHub, Visual Studio Code, JDK, Windows, Linux, and Web environments.
Coding Platforms
Active participation on coding platforms including Geeks for Geeks, LeetCode, and Code Chef.
Model Deployment
Experience deploying trained machine learning models for real-world applications, integrating them into web applications or APIs.
Languages
EnglishFluent
Project history
Developed a sentiment analysis system using NLTK and Machine Learning models to check the polarity of text. Implemented and trained models such as Naive Bayes, SVM, RNNs, CNNs, and Transformer-based models like BERT. Evaluated model performance using accuracy, precision, recall, and F1-score, and deployed trained models into web applications or APIs.
Led the development of a project leveraging advanced algorithms to predict hotel expenses for various destinations by analyzing factors such as accommodation, transportation, food, and activities, providing approximate estimates within budget constraints.
Developed a solo e-commerce website serving as a digital storefront, facilitating transactions between buyers and sellers and enabling online product showcasing.