ADITYA JOSHI

Skilled Industrial Engineer with a strong background in Data Science and Machine Learning. Proven track record of optimizing processes and improving efficiency in diverse industries. Skilled in analyzing workflows, identifying bottlenecks, and implementing solutions to enhance productivity. Proficient in utilizing data analysis and modeling techniques to drive operational improvements.

"Aditya's contribution to improving SAP and optimizing Maintenance Plans was very crucial in Project's Success at the Bingham Canyon Mine."

• Little Field Simulation: Achieved second place in the Littlefield Simulation competition by optimizing reorder quantity, inventory levels, work-in-progress (WIP), minimizing bottlenecks, lead times and preventing back orders. Applied several inventory models and forecasting strategies to maximize profit. Earned a total revenue of $1,193,470 in a span of 268 days to finish second.
• Owens one App: Developed and deployed an app for one of the dining halls at Virginia Tech to make hassle free data entries to data base. Created an QR integration feature to sync orders and built an interactive dashboard in Power BI to track real time sales and inventory resulting in 30-40% reduction in manpower time.
• Semiconductor Fab Simulation: Replicated the Virginia tech's state of the art semiconductor manufacturing facility and simulated in AutoMod. Computed different loads and simulated for different cycle times to observe bottlenecks. Implemented different dispatching rules and found SPRT to be optimal for minimal make span.
• CAPSTONE PROJECT - Marketing Campaign through Customer Churn analysis: Analyzed customer data to uncover churn patterns and developed a predictive model with 96.48% accuracy. Forecasted sales trends over 2 to 12 months to help the company manage resources accordingly. Performed RFM analysis in KNIME and created interactive Tableau dashboards to visualize insights, aiding management in data-driven decision-making.

• Published four green banners (Achieved Continuous Improvements Goals)
• Won the annual Data Science Hackathon organized by Great Learning.
• Published a paper 'Increasing aerodynamic Efficiency Using Wing Morphing.