Highly motivated Software Engineer blending AI, Data Science, and Python to craft user-centric solutions, with a marketer's insight—creator of an AI-powered system mimicking human vision, and always ready to drive growth in a collaborative team.
- Python: Proficient in web automation (Selenium), AI projects (TensorFlow, Scikit-learn), and data analysis (NumPy, Pandas).
- Machine Learning & Data Science: Experienced in Exploratory Data Analysis (EDA), handling unbalanced data, and building AI models.
- Web Development: Actively expanding skills in Django for backend development.
- Cross-Platform Development: Developing skills in Flutter for mobile and web applications.
- Additional Packages: PySimpleGUI, PyAirtable, Dropbox, Google Search API.
- AI-Powered System Mimicking Human Eyes: Developed an advanced system utilizing AI to replicate human vision, pushing the boundaries of what's possible in machine learning and artificial intelligence.
- NoteR: An AI-powered note-taking app designed to revolutionize how users interact with their notes. NoteR includes features like NoteChateR, NoteRecommendeR, and NoteSearcheR, which leverage AI to enhance note-taking, organization, and retrieval.
- Data Science: Analyzed unbalanced data to identify patterns of electricity and gas theft, utilizing Scikit-learn to improve machine learning model performance and handle imbalanced datasets effectively.
- Web Automation (Selenium): Developed a tool that streamlined job description creation, reducing the time required by 50%.
