NITHESH SINGH
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NITHESH SINGH
Enthusiastic and detail-driven Computer Applications graduate with a strong foundation in Artificial Intelligence and Machine Learning. Experienced in developing ML models using Python, Scikit-learn, and key algorithms such as SVM, Random Forest, and KNN. Demonstrated ability to apply data-driven approaches in real-world projects, including crop prediction and pest detection using image processing. Proficient in data analysis, model evaluation, and deployment using Flask. Eager to contribute to innovative AI/ML solutions that drive real impact.
My Skills
Core competencies that drive my performance.
Programming Languages
Python90 %
SQL95 %
C++98 %
Web Technologies
HTML96 %
CSS97 %
JS93 %
Flask91 %
Machine Learning Algorithms
Linear Regression96 %
Decision Trees90 %
Random Forests99 %
SVM92 %
KNN91 %
Neural Networks99 %
Tools and Libraries
Excel94 %
Pandas98 %
Scikit-learn93 %
NumPy92 %
Tableau90 %
Education
Empowering Creativity through
2024
Bachelor of Computer Application
Gandhi institute of Technology and Management, Visakhapatnam, India
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My Projects
Customer Experiences: A Tapestry of Happy Moments
Crop Recommendation Using Python
Developed a predictive analytics framework with a Voting Classifier, integrating SVM, Random Forest, and KNN models to accurately predict suitable crops, enhancing agricultural productivity & sustainability. Addressed critical farming challenges by offering data-driven insights, aiming to reduce financial stress and improve crop yields.
Pest Detection in Plants Using Image Processing Techniques
Created an advanced Flask-based website for early detection and prediction of diseases in sugarcane, featuring a comprehensive database of diseases for effective management. Enhanced user engagement through a user-friendly interface and animations, providing actionable recommendations for disease treatment.
Online Job Portal System
Built a web platform connecting job seekers with employers. Enabled companies to post jobs and applicants to apply through a dual-interface system. Used php, sql, html, css, and JavaScript for full-stack development. Simplified the hiring process through a centralized, user-friendly portal.
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