About Me
I am a B.Tech Computer Science and Engineering Graduate from Graphic Era Hill University with strong expertise in Machine Learning, AI, Data Analytics, and Web Development. My experience spans developing high-accuracy models, building scalable frameworks, and delivering impactful data visualizations. I am passionate about solving real-world problems using technology, optimizing processes, and creating robust AI-driven solutions.
Projects
Image Forgery Detection
Hybrid CNN, AlexNet, and ResNet architecture achieving 96.67% accuracy in detecting image forgeries, with advanced augmentation to prevent overfitting.
Credit Card Fraud Detection
Random Forest and Decision Tree model trained on 100K+ transactions, achieving 99.95% accuracy with optimized feature selection and reduced processing time.
Network Intrusion Detection System (NIDS)
Machine learning-based NIDS using RFE for feature selection, achieving 95% accuracy while reducing computational needs by 30%.
Experience
Data Analytics Intern (Simulation)
Deloitte Australia Data Analytics Job Simulation (Forage)
- Completed data analysis simulation using Tableau and Excel, improving trend accuracy by 25%.
- Designed Tableau dashboards reducing report generation time by 40%.
- Applied anomaly detection to refine fraud detection processes.
Machine Learning Intern
LearnTricks Edutech
- Developed K-Means clustering model for Iris dataset, boosting accuracy by 15%.
- Optimized feature scaling, reducing training time by 15%.
- Improved inference speed by 40% via algorithmic enhancements.
Education
B.Tech in Computer Science and Engineering
Graphic Era Hill University, Uttarakhand
- Current CGPA: 7.27/10.0
Intermediate (Class 12)
Cambrian Hall, Dehradun
- Scored 83.6%
High School (Class 10)
Cambrian Hall, Dehradun
- Scored 84.6%