Power BI dashboard and data analysis of a telecom call center, uncovering performance trends, agent efficiency, call abandonment patterns, and customer satisfaction insights. Includes data-driven recommendations to enhance operations and user experience.
Operational analytics involves analyzing a company's end-to-end operations for identifying areas for improvement within the company. Key aspects of operational analytics is investing metric spikes which involves understanding and explaining sudden changes in the key metrics. Advanced SQL is used for this analysis.
A comprehensive SQL repository with queries organized by industry sectors, including banking, healthcare, energy, manufacturing, and transportation. Designed to solve real-world problems with optimized and scalable solutions, this repository is ideal for learning and tackling industry-specific challenges.
End-to-end operational performance review for a confectionery company. Leveraged SQL, Python, and Looker Studio to analyze sales trends, customer behavior, SKU efficiency, and supply chain bottlenecks.
TCVAE trajectory embeddings for ATM operational analytics. Extract learned representations from generative models to discover flight patterns, detect outliers, and select representative trajectories without manual feature engineering.
Performed operational metrices analysis for a web application.
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