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AI Engineer with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate at Binus University with strong academic performance and practical experience in education, student engagement, and community activities. Passionate about technology, problem-solving, and building impactful digital solutions through programming and data-driven approaches. Experienced in teaching mathematics, supporting student adaptation programs, and contributing to social and environmental initiatives. Demonstrates strong analytical thinking, leadership, communication, and teamwork skills developed through academic excellence and organizational involvement.
BINUS University
Bachelor of Computer Science · Computer Science
August 1, 2024 – June 30, 2029
PT Algorithmics
Mathematics Tutor
April 1, 2026 – Present
India
Harisenin Bootcamp
Class Administrator
January 1, 2026 – Present
India
NutriScan
March 1, 2026 – June 1, 2026
Developed a machine learning based application to classify food as healthy or unhealthy based on nutritional content analysis. Implemented the Decision Tree algorithm to identify nutrition patterns and generate food classification results. Conducted data preprocessing and model evaluation to improve prediction performance and usability.
Reado
February 1, 2026 – June 1, 2026
Designed and developed a prototype of an assistive reading solution for visually impaired users by integrating smartphone based text recognition and audio output. Enabled users to capture printed text through a mobile device and convert detected text into spoken feedback. Focused on accessibility, usability, and inclusive design to improve independent access to written information.
SolarIntelligence
August 1, 2025 – February 1, 2026
Developed a predictive analytics project to estimate solar energy output in specific geographic areas using environmental and location based data. Implemented the XGBoost algorithm to analyze factors influencing solar energy generation and improve prediction accuracy. Processed and evaluated datasets to support data driven insights for renewable energy utilization.
BINUS Mentoring Program (Period 25–1 & 25-2)
BINUS University
August 1, 2025 – Present
2nd Place HIMTI Competitive Programming Competition
BINUS University
August 1, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through diverse engagement in academic, organizational, and volunteer activities. Their involvement in mentoring programs, competitive programming, and various community initiatives (environmental cleanup, tree planting) showcases a proactive, collaborative, and socially responsible mindset. This breadth of experience suggests adaptability, a willingness to learn, and an ability to contribute positively to a team-oriented environment. The focus on accessibility in the 'Reado' project also indicates an empathetic approach to technology development.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including communication, critical thinking, problem-solving, leadership, teamwork, adaptability, and time management through various academic, work, and volunteer experiences. These skills are crucial for collaborative AI development environments and effective project execution. Their experience as a Mathematics Tutor and Class Administrator also indicates an ability to simplify complex concepts and manage tasks efficiently, which are valuable for operational fit.