Parth Shah

Data analysis, data preparation, feature engineering and model preparation, deployment of models, performing a/b test for poster analysis

Created robust ETL pipelines from 4 data sources. Designed a dynamic Power BI weather dashboard for 126 cotton crop regions. Utilized 90,000+ data points for real-time insights, boosting crop yield prediction accuracy by 50% and reducing resource waste in production planning by 20-30%. Boosted commodities market trade decisions by 20% through a Python-based Cotton Arrival forecasting model, leveraging sci-kit learn on a dataset of 100K+ historical records. Enhanced precision in trade timing by 30% with a customizable Power BI dashboard, offering data filters, trend visualization, and alert systems for early signals and improved decision-making.

Developed a Network Optimization and Warehouse Selection model, using advanced optimization algorithms. Achieved a 15% reduction in transportation costs by accurately pinpointing optimal locations. Engineered logistic Cost Comparison Calculator, by integrating sales and logistics data, resulting in a 30% reduction in logistics costs through optimized route selections and carrier choices using pandas and SQL. Spearheaded the development of a transportation dashboard using Tableau, delivering a 25% improvement in real-time visibility and decision-making capabilities for Supply Chain Analytics.

Configuring SQL Server databases for efficient structured data management, ensuring integrity, and optimizing manufacturing processes using Siemens automation technologies. Integrating data sources with SCADA, Power BI, and VB Script for real-time high-speed data exchange. Developing automated reporting systems for shifts, batches, and trends, utilizing analytics and visualization techniques for data-informed decision-making.

Implement automated solutions for optimizing manufacturing operations using control logic and machine learning models based on high-speed real-time sensor data. Creating interactive data visualizations and dashboards using tools like Power BI and SCADA for real-time monitoring and decision-making. Generating MIS reports, collecting and storing data from manufacturing processes and sensors in a structured database or data warehouse, and automating report creation for actionable insights.