Abhinaya User

I’m a results-driven Data Analytics fresher (2026 batch, B.Tech CSE, GPA 9.0) with hands-on experience building analytics pipelines end-to-end—from extraction and transformation to visualization and storytelling.

In my Data Analytics Intern role at ScholarRank AI, I executed data extraction and transformation using SQL and Python, reducing data processing errors by 20%. I designed and maintained Power BI dashboards and Excel models that delivered real-time insights to stakeholders and supported 3+ concurrent AI research projects, improving project outcomes by 18%.

As a Machine Learning Intern at Infosys Springboard, I built an end-to-end object recognition system using computer vision and machine learning. I implemented image preprocessing pipelines with OpenCV (resizing, normalization, augmentation), trained and evaluated classification models for real-time object detection, and shared results with program mentors.

I bring this same rigor into my projects: a UPI fraud detection system that reduced false positives by 12% through feature engineering and hyperparameter tuning, and a Netflix content analytics dashboard for trend discovery across 6,000+ titles. I’m energized by cross-functional collaboration and I aim to help teams make faster, smarter decisions with trustworthy data.