Jr. Machine Learning Engineer
Silicon Valley, California, United States
1. Analyzing Open Data About Los Angeles Metropolitan AreaUSA Chapter project focusing on analyzing extensive open datasets to address urban challenges. Utilized data science and AI to extract insights pertinent to urban planning, transportation, and public safety. Facilitated collaboration and knowledge sharing across a dedicated team, enhancing local data-driven decision-making processes.2. Developing a Natural Language Toolkit for the Nepali LanguageContribution: Contributed to the development of a toolkit for Nepali language processing tasks like tokenization, POS tagging, and sentiment analysis. Aimed to support NLP applications for the Nepali-speaking community.3. Predicting Student Success Using Machine LearningContribution: Collaborated with the Omdena Ankara, Turkey Chapter team to enhance student success using data analysis and machine learning. Aimed to promote data-driven education policies and provide actionable insights for educators and policymakers to improve academic achievements.4. Developing a Computer Vision-Based Model for Mango Leaf Disease DetectionContribution: Developed a computer vision model for early detection of mango leaf diseases in Bangladesh. Collected a comprehensive dataset, used Convolutional Neural Networks (CNN) for accurate disease classification, and developed a real-time user interface for farmers. Techniques included image preprocessing, data augmentation, and model optimization to enhance detection accuracy.
