Brajesh Pandey

I’m an entry-level data analytics professional with a B.Tech in Computer Science and Engineering (AI/ML) who loves building practical dashboards and analytics pipelines that lead to clear decisions. I focus on data quality first—cleaning, validating, and shaping datasets so insights are trustworthy.

Through internships and projects, I’ve built analytics systems end to end. At TCS iON, I developed a Python-based Smartphone Ranking Analysis System (RIO-125) using dataset cleaning, feature analysis, and ranking logic for business insights. I also built a Face Recognition Attendance Dashboard System with Python using OpenCV, Tkinter, and Pandas, emphasizing accurate, structured reporting.

I bring strong visualization and BI skills using Tableau and Power BI, including interactive KPI dashboards for business use cases. My work includes a Pizza Sales Dashboard for revenue and peak-period insights, and a Netflix Content Analytics Dashboard that tracks trends and viewer-relevant metrics via dynamic charts and KPI reporting.

I’m motivated by continuous learning, collaboration, and shipping quality work on time. Certifications like “Data Science Bootcamp” and “Data Analytics Foundations,” plus hands-on experience with Python, SQL, and statistical analysis, keep me grounded in both fundamentals and real-world execution.