Detail-oriented intern with hands-on experience optimizing web applications, building ML models, and developing database solutions. Adept at analyzing data to support strategic decisions, with a strong foundation in programming and cloud deployment.
Proficient in React.js, Node.js, and AWS deployment, delivering responsive and optimized web applications.
Skilled in building ML models, data preprocessing, and extracting insights using Python and SQL.
Experienced in Oracle APEX, PL/SQL, and query optimization for efficient data management.
Strong command over Python, C++, Java, and JavaScript, with foundational knowledge of Swift/iOS.
Skolar
Optimized React.js components, reducing DOM re-renders by ~30% and improving UI responsiveness. Integrated React frontend with Node.js REST APIs and deployed on AWS (EC2), improving application performance and scalability. Collaborated with development teams using Agile workflows and Git version control
Prodigy Infotech
Built and trained ML models using Python, improving prediction accuracy by 20% using optimized preprocessing techniques. Performed data preprocessing and model evaluation, improving model accuracy and performance
Vibhathi Labs India Pvt. Ltd.
Built database-driven applications using Oracle APEX & PL/SQL, optimizing query performance and improving data retrieval efficiency. Designed interactive dashboards, enabling real-time data visualization. Worked on structured data handling, debugging queries, ERP systems. Executed SQL queries, procedures, and backend logic for data processing and reporting. Designed and analyzed database systems for efficient data storage and retrieval. Generated insights from user activity data to improve system performance
M.Tech
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Infosys Springboard
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