Aspiring Data Scientist
Aspiring Data Scientist with a strong foundation in Python and data analytics, currently completing a Data Science and Generative AI certification and building machine learning solutions.
Bachelor of Science, Entire Computer Science (B.Sc. ECS / BCS)
2022 – 2025
Graduated with 8.75 CGPA
Developed a Convolutional Neural Network image classifier to identify crop diseases across 15 classes of tomato, pepper, and potato using a curated subset of the PlantVillage dataset. Applied image preprocessing and data augmentation, achieving 94% weighted-average precision and recall.
Developed a predictive model to identify depression risk levels in adolescents with 77.6% overall accuracy. Optimized a Random Forest classifier using GridSearchCV to achieve 97% recall for high-risk cases and performed feature importance analysis.
Developed a predictive model to identify the likelihood of diabetes based on medical diagnostic measurements. Performed data preprocessing, feature scaling, and exploratory data analysis to identify key health indicators.
Engineered a system to automate screening and ranking of jobs against a resume. Used Gemini to identify and prioritize candidates based on technical skill matching and provide a percentage-based match score.
Developed a platform providing data on Indian crops, including seasonal cycles and fertilizer requirements, with an interface to filter and retrieve agricultural insights based on crop selection.