To obtain a challenging career in the IT industry, put all my efforts into the growth of the organization, and have a great working environment.
Automatic diagnosis of Parkinson’s disease using handwriting patterns
Brief description: developed a machine learning model to diagnose Parkinson’s disease based on handwriting patterns; technical stack: Python, scikit-learn, and Jupyter Notebook
Placement prediction using machine learning
Brief description: built a machine learning model to predict student placement outcomes, technical stack: Python, pandas, scikit-learn
Movie ticket booking system
Brief description: Designed and developed a web-based application for booking movie tickets online; technical stack: HTML5, CSS3, JavaScript, MySQL
Best outgoing student award (2018)
Published paper in the Journal of Electrical Systems titled 'Automatic Diagnosis of Parkinson’s Disease Using Handwriting Patterns'