Revin Andrade

With a strong foundation in front-end development, complemented by my experience as a Trainee Decision Scientist at Mu Sigma, I am eager to bring my skills in JavaScript, React.js, and responsive web design to your innovative team.

During my time at Mu Sigma, I honed my analytical and problem-solving abilities by leveraging statistical modeling and data-driven decision-making for Fortune 500 clients. However, my passion for building scalable, high-performance applications led me to focus on front-end development. I developed an online food delivery application using React.js, where I optimized navigation for mobile and desktop devices, achieving an average load time under 2 seconds. Additionally, my portfolio website showcases my commitment to clean, responsive design using HTML, CSS, and Bootstrap.

My technical toolkit includes Java, Python, SQL, and web technologies like HTML, CSS, JavaScript, and React.js. I am adept at implementing dynamic front-end features, managing state efficiently, and ensuring seamless user experiences. My hands-on experience with projects involving real-time data processing and predictive modeling has strengthened my problem-solving skills and ability to work under pressure.

Trainee Decision Scientist, Mu Sigma (January 2025–Present)

Developed a Python-based predictive model to detect micro-seismic events, enhancing detection accuracy by 15%

Designed and implemented an interactive web dashboard for real-time event monitoring

Integrated machine learning models with Tableau and Power BI to deliver real-time analytics

Translated business requirements into production-ready SQL and Python code

Built a full-stack web application using React, FastAPI, and PostgreSQL

Bachelor of Engineering (B.E.), Computer Science & Engineering
AMC Engineering College, Bengaluru | CGPA – 8.89 | October 2020 – July 2024