Artificial Intelligence Machine Learning

Database Management Systems (DBMS)

Data Structures and Algorithms (DSA)

Software Development Life Cycle (SDLC)

Generative AI

Developed a real-time integrated crop management mobile application utilizing machine learning for pest and disease identification (achieving 90% accuracy) and image processing for crop health assessment, enhancing farmers' access to technology and potentially increasing crop yields by an estimated 15%.

Analyzed Nike sales data across different time periods using PowerBI, identifying key trends and providing actionable insights for inventory management and marketing strategies, potentially contributing to a 5% increase in forecast accuracy.

Developed a weather model to analyze and predict seasonal patterns and long-term trends, providing insights into climate changes and historical comparisons with an average prediction accuracy of 95%.

Developed a smart shopping assistant using AlloyDB and Vertex AI Agent Builder to provide personalized recommendations, answer customer queries, and enhance the overall shopping experience.