#I'm Samyuktha Gandi
Python-focused engineer building projects in SSD/NVMe validation, automation, SDET workflows, data analytics, and applied AI/ML.
- SSD/NVMe validation automation
- Python-based log parsing and test analysis
- SDET and QA analytics workflows
- Data analysis dashboards and reporting
- Applied AI/ML and computer vision projects
Python-based validation log analyzer that parses SSD/NVMe test logs, classifies failures, detects anomalies, stores results in SQLite, and generates release-readiness reports.
Tech: Python, Pandas, Regex, SQLite, Streamlit, PyTest
QA analytics project that analyzes test execution results, defect severity, regression trends, automation coverage, and release readiness metrics.
Tech: Python, SQL, Pandas, Power BI-style analytics
Real-time attendance system using computer vision and face recognition with CSV-based logging.
Tech: Python, OpenCV, MTCNN, FaceNet
Languages: Python, SQL, TypeScript
Python Tools: Pandas, NumPy, PyTest, Regex, Matplotlib, Streamlit
Databases: SQLite, SQL
Areas: SSD Validation, Automation, SDET, Data Analytics, AI/ML Basics
I am focused on Python-heavy roles across SSD validation, silicon validation, automation engineering, SDET, data analytics, and entry-level AI/ML.