- π Computer Science & Engineering graduate from Cambridge Institute of Technology, Bangalore
- πΌ Currently an AI Virtual Intern (ML & AI) at Infosys Springboard
- π€ Passionate about Artificial Intelligence, Machine Learning & Data Analytics
- π» Having interest in software development.
- π Comfortable working across the pipeline: data preprocessing β model training β deployment
- π Selected for the Udaan Apprenticeship Program, developing industry-ready technical & professional skills
- π± Currently sharpening my skills in advanced ML techniques and applied data science
- π« Reach me at kalashreeb27@gmail.com
AI/ML β’ Disaster Management β’ Weather Data
An AI-based system designed to analyze and predict risks related to floods, landslides and heatwaves using historical and weather data.
- π Collected and merged disaster datasets
- π§Ή Performed data cleaning and preprocessing
- βοΈ Performed feature engineering
- π€ Trained machine learning models
- π¦οΈ Integrated weather data/API
- π Generated disaster risk predictions
β οΈ Focused on early warning and disaster preparedness
Technologies:
Python Pandas NumPy Scikit-learn Machine Learning Weather API
Python β’ Flask β’ SQL β’ Web Development
A web-based cafe management application designed to manage orders, menu, customers and billing.
- π§Ύ Order management
- π½οΈ Menu management
- π€ Customer management
- π³ Billing management
- π User authentication
- ποΈ Database integration
- π± Responsive interface
Technologies:
Python Flask SQL HTML CSS JavaScript
π Computer Science
β
π» Programming
β
π Development
β
π Data Preprocessing
β
π€ Machine Learning
β
π§ Artificial Intelligence
β
π Real-World Projects
β
πΌ Professional Growth
