Available to hire
I am a Data Scientist and Analyst specializing in AI/ML solutions, computer vision, and predictive analytics. I am proficient in Python, deep learning frameworks, statistical analysis, and large-scale data processing.
I have experience in sentiment analysis, automated data collection, and deploying machine learning models for real-world applications. I bring a strong background in analytical thinking and technical implementation to transform complex data into business value.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Indonesian
Fluent
English
Advanced
Work Experience
Data Science & Analyst Internship at PT Solusi Intek Indonesia
May 1, 2025 - October 16, 2025Internship role developing real-time video analytics using YOLOv11 and HRNet for drone-based traffic surveillance; fine-tuning models on VisDrone and population density datasets; built a reverse image search interface with Streamlit and ResNet-50; built e-commerce sentiment analysis using Naive Bayes; developed media intelligence platform with sentiment analysis and emotion detection using regex-based entity extraction.
Technical Lead - Computer Vision & Deep Learning at Solos AI Consulting
August 1, 2025 - October 16, 2025Led dual-model AI pipeline (Anomalib + HRNet) achieving sub-1.5s average processing time with smart filtering for packaging/manufacturing; integrated OpenAI validation layer for product-aware anomaly detection reducing false positives and improving defect classification; built production-ready system with 6-class defect classification and RESTful API supporting real-time and batch processing.
Data Science & Analyst Internship at PT Solusi Intek Indonesia
May 1, 2025 - May 1, 2025Developed a real-time video analytics platform using YOLOv11 and custom HRNet models that processes drone footage for traffic surveillance and security applications. Fine-tuned both models using the VisDrone dataset and a large population density dataset. Built a reverse search engine interface with Streamlit, using ResNet-50 for image feature extraction and cosine similarity to identify similar images in Caltech 101. Implemented e-commerce sentiment analysis on product reviews using Naive Bayes to classify sentiment. Developed a media intelligence platform with sentiment analysis and emotion detection models for automated news and social media monitoring using regex-based entity extraction techniques.
Technical Lead - Computer Vision & Deep Learning at Solos AI Consulting
August 1, 2025 - August 1, 2025Led a dual-model AI pipeline (Anomalib + HRNet) achieving an average processing time under 1.5 seconds with smart filtering optimization across packaging and manufacturing applications. Integrated an OpenAI validation layer for product-aware anomaly detection, reducing non-packaging false positives and improving defect classification accuracy. Built a production-ready system with 6-class defect classification, RESTful API, and support for real-time and batch processing.
Education
Bachelor of Information Technology at President University
September 1, 2022 - October 1, 2025Bachelor of Information Technology at President University
September 1, 2022 - October 1, 2025Qualifications
Internship Completion
January 11, 2030 - October 16, 2025GDSC x FutureLabs
January 11, 2030 - October 16, 2025Korea - ASEAN Digital Academy
January 11, 2030 - October 16, 2025PDC IELTS
January 11, 2030 - October 16, 2025Solos Consulting AI Approval
January 11, 2030 - October 16, 2025Internship Completion
January 11, 2030 - November 4, 2025GDSC x FutureLabs
January 11, 2030 - November 4, 2025Korea-ASEAN Digital Academy (KADA) - BPPTIK
January 11, 2030 - November 4, 2025PDC IELTS
January 11, 2030 - November 4, 2025Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Education, Manufacturing
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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