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Data Science with 2+ years in Data Analytics, Machine Learning & AI
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Assessing your cultural and operational fit
Third-year Information Systems and Technology undergraduate with strong interest in data analytics and artificial intelligence. Experienced in building data-driven solutions through machine learning, data preprocessing, and exploratory analysis. Passionate about solving real-world problems using data, with hands-on experience in AI algorithms, statistical analysis, and end-to-end data workflows.
Bandung Institute of Technology
B. E. · Information System and Technology
August 1, 2023 – Present
Information Systems Laboratory
Information Systems Laboratory Assistant
September 1, 2025 – Present
India
Inkubator IT HMIF ITB
Media Intelligence Committee Member
August 1, 2025 – Present
India
Arkavidia 8.0
UI/UX Designer
November 1, 2024 – April 1, 2025
India
Cognex AI System Analyst for Industrial Vision
April 1, 2026 – June 1, 2026
Analyzed Cognex's AI-powered machine vision system for inbound logistics, focusing on object detection, OCR, and edge AI deployment to automate inspection and barcode scanning processes. Mapped the end-to-end AI pipeline, including data collection, labeling, model training, deployment, and continuous optimization in real-world industrial environments. Evaluated business impact, highlighting up to 99.9% barcode detection accuracy and real-time decision-making capabilities that significantly improve operational efficiency and reduce manual processing.
Fraud Detection using Machine Learning
December 1, 2025 – June 1, 2026
Built and evaluated classification models (Decision Tree, Logistic Regression, KNN) on a large-scale dataset (~100K records) to detect fraudulent transactions, achieving strong predictive performance based on AUC-ROC evaluation. Developed an end-to-end machine learning pipeline including data cleaning, missing value handling, outlier treatment, feature engineering, and imbalanced data handling, and conducted comparative analysis to identify the most effective model.
AI-Based Optimization for Bin Packing Problem
November 1, 2025 – June 1, 2026
Developed an optimization solution for the NP-hard bin packing problem using local search and metaheuristic algorithms (hill climbing variants & simulated annealing), achieving more efficient packing configurations with reduced container usage and higher density utilization. Designed a custom objective function combining container minimization, overload penalty (10,000 penalty per violation), and packing density reward, and evaluated multiple algorithm variants (steepest, stochastic, random restart) through iterative performance comparison and visualization.
ReWear
July 1, 2025 – June 1, 2026
Analyzed user pain points in clothing disposal to guide feature definition, successfully translating sustainability goals into 3 core product flows: item submission, AI evaluation, and reward redemption. Created a sustainability return & recycle platform for fashion brands using React.js and Firebase, integrating the Gemini API for AI-based clothing analysis and automated classification of 100+ items. Awarded 2nd Place in the Sustainability Track at GarudaHacks 6.0, recognizing its impact and feasibility in promoting circular fashion, and also honored with the Ganesha Karya Award from ITB.
Ganesha Karya Award - Institut Teknologi Bandung
Institut Teknologi Bandung
November 1, 2025 – Present
2nd Place in Sustainability Track and Best Woman Hacks at GarudaHacks 6.0 Competition
Garuda Hacks
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity, including sustainability-focused AI solutions and industrial vision systems, indicate a broad interest in applying technology to real-world problems. Their involvement in hackathons and student organizations suggests a proactive and collaborative mindset. The target role of Data Science aligns well with their demonstrated project experience in machine learning, data analysis, and AI optimization. The candidate appears to be a motivated learner, evidenced by their coursework and continuous project engagement.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project work and an ability to translate business needs into technical solutions. Their experience as a teaching assistant suggests good communication and mentoring abilities. Participation in hackathons and organizational roles indicates teamwork and initiative. However, the resume lacks explicit details on collaboration within technical teams or handling project conflicts, which are crucial for senior roles.