kartikay singh

I am a motivated Data Analyst with a background in Computer Science and Engineering and hands-on experience in data analysis, visualization, and machine learning. I have applied Python, pandas, matplotlib, seaborn and Power BI to derive actionable insights from complex datasets and improve operational decisions.

In professional roles I contributed to AI/LLM annotation workflows and delivered outputs with a quality score above 98%, and during an internship I analyzed seasonal trends in patient testing to recommend optimized test-package combinations that improved recommendation accuracy and operational efficiency.

My projects include comparative evaluation of deep learning models (UNet, LinkNet, FCN) on PolSAR data, where UNet achieved a mean IoU of 0.891 and accuracy of 95.29%. I am eager to continue growing in data science, applying strong technical skills and attention to detail to solve real-world problems.