JayHemnani

• •Engineered automated ETL pipelines using SQL and Python, reducing manual data preparation by 40% and improving data consistency across multi-property analytics.
• •Built interactive dashboards in Tableau and Power BI for occupancy, revenue, and KPI tracking across multiple hotel properties.
• •Developed demand forecasting models using time-series analysis to support dynamic pricing and revenue management decisions.

• •Provided data analytics and pipeline consulting for small businesses, building reporting automation and data infrastructure solutions.
• •Designed A/B testing frameworks and tracked engagement metrics to optimize client campaigns and product decisions.

• •Built credit fraud detection system using ensemble ML (Random Forest, XGBoost) with SMOTE for class imbalance, achieving 94% precision on transaction data.
• •Developed automated analytics dashboards with statistical models for operational reporting and anomaly detection.

• •Developed CodeLock, an iOS privacy/security app with AES encryption and secure local storage using Core Data.
• •Instrumented user engagement analytics and iterated on UX based on usage patterns and retention data.

• •Built cloud-native communication platform for first responders using microservices architecture on Azure with REST APIs.
• •Configured CI/CD pipelines for automated testing and deployment, reducing deployment time by 60%.

Diabetes Prediction using Stacking Classifier

IEEE International Conference on Machine Learning & Data Science • 2022

Six-model stack achieving ~82.68% accuracy on PIMA dataset.

CPU Scheduling Algorithms Analysis

IEEE International Conference • 2021

Comparative analysis of CPU scheduling algorithms with priority queue optimization.