yashika hooda

I’m an analytical, results-driven AI researcher and Technical Solutions Consultant, with a strong focus on model evaluation, feature engineering, algorithm development, and data preprocessing. I use my data and ML foundation to turn complex signals into actionable outcomes for stakeholders.

At HPE, I analyzed incident and performance data to spot recurring issues and optimize infrastructure workflows. By applying data-driven root cause analysis and process improvements, I helped reduce ticket volume, while supporting operational efficiency through structured reporting and automation.

I build end-to-end solutions—from BI to production-ready systems. I created an interactive Power BI dashboard for comparing AI-integrated solution providers, and I developed an AML/KYC/FATF compliance monitoring agent using Ollama LLM with feature engineering and model evaluation, generating audit-ready outputs.

I also combine computer vision and full-stack development to ship real-world projects. My work includes a smart surveillance system using real-time video analysis and object detection, plus REST APIs with secure authentication, and research published in IEEE on fog/edge intelligent transportation and secure facial recognition for attendance.