Anshita Vats
Digital Forensics Analyst
Open to Work
- Target role
- Digital Forensics Analyst
- Availability
- Actively looking
- Experience
- Fresher
- Working preference
- Hybrid · Delhi
Digital ForensicsAutopsyFTK ImagerVolatility FrameworkCellebrite UFEDEnCaseLog AnalysisBurp SuiteWiresharkNmapNessus/OpenVASKali LinuxForensic ReportingEvidence AcquisitionEvidence ImagingIndian Cyber LawsEvidentiary StandardGeminiClaudeOpenAI APIGitHub CopilotMicrosoft Copilot
AN AUTOMATED MACHINE LEARNING FRAMEWORK FOR DETECTING ANTI_FOREENSIC INVESTIGATIONS
Python, Random Forest, ANN, Scikit-learn, TensorFlow/Keras, Anti-Forensics, Steganography, Encryption, LSB Analysis, Google Colab
Achieved 98.3% accuracy using Random Forest on a 10,000-file balanced dataset Achieved 98.1% accuracy using ANN — second best performing model Classif
AI-Powered Crowd Management and Risk Alert System Using Video Analytics
Python, YOLOv8, Deep CNN, Computer Vision, OpenCV, RTSP, CCTV Integration, Object Detection, Video Analytics, Real-Time Processing
Delivered real-time crowd-density detection at 30–60 FPS, validated across 7–8 test video sequences under varying density conditions. Designed a conte