π B.Tech β Computer Science & Engineering (AI & ML)
π« Malla Reddy Engineering College for Women, Hyderabad
π CGPA: 9.06
I am an aspiring AI/ML engineer with a strong academic foundation and hands-on experience gained through internships and real-world projects.
My interests include Machine Learning, Explainable AI, and applied artificial intelligence, with a focus on building reliable and data-driven solutions.
π Actively seeking opportunities to apply my technical skills while continuing to grow in a professional environment.
πΉ Core Concepts
- Data Structures
- DBMS
- OOPS
- SQL
πΉ Tools & Technologies
- Machine Learning
- Artificial Intelligence
- GitHub
- VS Code
- Processed and analyzed historical crime data using time, location, and crime category
- Designed an end-to-end data pipeline using Python, Pandas, and Scikit-learn
- Trained and compared Neural Network and LSTM models
- Selected LSTM based on lower RMSE values
- Created hourly, yearly, and category-wise visualizations to support data-driven insights
- Developed a patient safety analysis system using clinical features
- Trained XGBoost, MLP Neural Network, Graph CNN, and CNN-2D models
- Preprocessed data using Pandas, NumPy, LabelEncoder, and StandardScaler
- Applied SHAP (Explainable AI) for transparent and interpretable predictions
- Enabled explainable decision-making in healthcare scenarios
π Feb 2025 β Mar 2025
- Built a Python-based Aadhaar verification system
- Identified document type and detected tampered regions using YOLO
- Extracted identity details using OCR
- Compared Aadhaar data with Excel-based records to flag mismatches
- Automated the complete workflow from file upload to final Excel report generation
π
Oracle Generative AI Certification
π
Cambridge C1 Level β Certified in Learning Management
π
Cisco Networking Academy β C and Python
π
Java (Basic) Certification β HackerRank
β¨ Focused on practical AI solutions, explainable models, and continuous professional development.