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.

A data-driven analysis of NYC Green Taxi trips focusing on demand patterns over time and location, fare-related factors, and passenger behavior. The insights aim to support service improvements and strategic decision-making.

Data-first operational and customer experience analysis focused on customer wait time.

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.

End-to-end analytics and machine learning pipeline to optimize emergency department wait times. Includes synthetic data generation, cleaning, EDA, bottleneck analysis, SQL schema, and an interactive Streamlit dashboard.

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.

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.

incident data extractor

A task and workflow efficiency tracking system designed for document digitization environments, focusing on task visibility, accountability, automation, and AI-assisted user support.

Performed operational metrices analysis for a web application.