Professional Python project using signal design for continuous intelligence.
Professional Python project Polars for drift detection and continuous intelligence.
Professional Python project for detecting static anomalies
Professional Python project using Polars and rolling monitoring for continuous intelligence.
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.
Operational analytics system built to evaluate real-time faculty availability, resolve substitution conflicts across parallel class slots, and structure last-minute timetable adjustments. Deployed with controlled WhatsApp notification triggers to prevent broadcast misuse while maintaining audit-safe workflow visibility.
Professional Python project for continuous intelligence.
Professional Python project using Polars for continuous intelligence.
Professional Python project for Continuous Intelligence.
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.
Module 2 - Anomalies
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.
Professional Python project for continuous intelligence
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.
Professional Python project for continuous intelligence.
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.
Data-first operational and customer experience analysis focused on customer wait time.
A copy of the template for our first assignment.
Professional Python project for detecting static anomalies
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