Khalifa Shaik

I’m a detail-oriented Data Analyst with hands-on experience in SQL, Python, and Power BI, focused on uncovering actionable insights that drive product and business decisions. I collect, clean, and analyze large datasets from multiple sources and turn complexity into clear, decision-ready outputs.

Through my IBM internship, I collaborated cross-functionally with product and engineering teams to improve data workflows and ensure data accuracy across testing and deployment pipelines. I validated data quality and consistency across reporting processes, keeping data integrity at the center of every deliverable.

I build interactive dashboards and automated reporting that translate trends, patterns, and anomalies into business actions. In my Sales Analytics Dashboard, I tracked sales trends and revenue KPIs with dynamic filtering, while applying funnel-style analysis to support product and marketing optimization.

In my Bank Customer Churn Analysis, I analyzed 10,000+ customer records using cohort analysis and EDA to identify churn drivers and retention signals. I also structured findings to support potential AI/ML model input by preparing clean, labeled datasets for predictive analytics pipelines.