Plant Disease Image Classification
Summary
Built a Convolutional Neural Network (CNN) model to detect diseases in plant leaves using image data.
Aspiring Data Scientist and Machine Learning Engineer with a strong academic foundation in Computer Engineering and practical expertise in developing and deploying AI/ML solutions. Proficient in Python, TensorFlow, Keras, Scikit-learn, and SQL, with hands-on experience in data preprocessing, predictive modeling, and image classification. Demonstrated ability to lead community initiatives, mentor peers, and translate complex data into actionable insights, eager to drive innovation in data-driven environments.
Co-Lead
Summary
Co-leading initiatives to foster data science education and community engagement within the university.
Highlights
Mentored over 50 students in a community-driven bootcamp, delivering foundational machine learning concepts and guiding participants through practical project development.
Co-led strategic planning and execution of community events, collaborating with fellow leads to enhance participant engagement and foster a vibrant data science environment for over 100 members.
Bachelor
Computer Engineering
Courses
Applied Statistics & Probability
Structures and Algorithms
Numerical Methods
Fluent
Issued By
LinkedIn/Microsoft
Data Annotation, Machine Learning, Data Analysis, Problem-Solving.
Accurate labeling for ML training, QA for consistency.
Classification, Regression, Clustering, Deep Learning algorithms.
EDA, Bias Detection, Statistical Insight.
Annotation tools, Data issues.
Python, SQL, TensorFlow, Keras, Scikit-learn, Flask, Docker, Streamlit, Git, NumPy, Pandas, Matplotlib, Poetry, Labeling Tools.
NumPy, Pandas, Matplotlib, TensorFlow, Scikit-learn, Keras, Flask, Streamlit, Poetry.
Flask, Docker, Streamlit.
Git.
Detail-Oriented, Analytical Thinking, Collaboration, Self-Management.
High accuracy, Consistency in labeling tasks.
Clear judgment, Edge cases, Ambiguous data.
Effective teamwork, Communication.
Organized, Reliable, Meeting deadlines.
Summary
Built a Convolutional Neural Network (CNN) model to detect diseases in plant leaves using image data.
Summary
Built a machine learning model that predicts loan approval status for financial institutions.