A results-driven software engineer passionate about AI, web development, and driving innovation. Committed to delivering high-quality solutions through teamwork, adaptability, and continuous learning.
Developed a Python-based crop recommendation system using Random Forest for predicting optimal crops based on soil and climate parameters. Built with scikit-learn, Flask, Pandas, and NumPy, enabling real-time predictions through a user-friendly web interface.
Developed a Python-based hate speech detection system integrating deep learning (CLSTM) and machine learning (RF, SVC) for performance. Utilized NLP techniques for text preprocessing, and methods like TF-IDF and Word2Vec for data transformation. Ensured scalability and real-time detection.
Developed a full-stack web application using HTML, CSS, JavaScript, Python (Flask), and SQL to track attendance and performance with real-time updates. Ensures accurate records and insights for better educational outcomes.
Developed a website using HTML, CSS, and JavaScript for booking slots, registering memberships, and viewing event details. Designed a user-friendly interface for seamless management.
Developed a cricket analytics project using Python (Pandas) to scrape and clean T20 World Cup 2022 player performance data. Designed PowerBI dashboards to analyze key metrics and trends. Identified the best playing 11 based on performance insights.
Designed a personal finance dashboard in Power BI using expense data from Excel for detailed financial tracking. Implemented visualizations to analyze spending patterns and budget management. Enhanced financial decision-making with insightful trends and reports.
25-May-2023 – 30-June-2023
17-February-2025 – 31-May-2025