Vedang Apte
Operations Engineer @Cosmos Surfaces
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WORK HISTORY
Operations Engineer @Cosmos Surfaces
Seattle, WA, US
Optimized the material delivery route selection process by implementing a traveling salesman algorithm using google distance matrix API. This reduced the delivery time and generated savings of more than for our branch. Extracted data from the sales database, prepared and cleaned the data, identified the top in-demand products and selected the appropriate bin locations to focus on. Reduced the pick time of these products in the warehouse by 74% and devised an algorithm forkeeping track of inventory movements by tracking the bin locations efficiently. Created a SQL portfolio with more than entries and reduced the time to provide pricing solutions by 83%. This eliminated mistakes made where each mistake means a loss of around and improved customer satisfaction through advanced filtering techniques. Developed a highly optimized automated model which monitored the KPIs of container movements in the facility. It provided suggestions upon optimizing the pricing of our products actively and generated savings of $5100 Analyzed the inventory database in the ERP system and through advanced statistical methods identified issues with specific type of products, conducted a root cause analysis, and developed risk management techniques which led to savings of more than Compiled a customer sales database and through data cleaning and data filtering, made it usable. Generated demand forecasts and insights based on region, type of product, and ordering frequency and optimized the sales strategy which led to sales growth of 11%
EDUCATION
Purdue University - The Graduate School
Master's degree
VIT_Vellore Institute of Technology
Bachelors
ABOUT VEDANG APTE
I am an Industrial Engineer from Purdue University. Industrial engineering is all about improving processes and enhancing efficiency, and I am very passionate about it. I enjoy making sense of large data sets and identifying trends, gaps, and process improvement opportunities hidden in them using SQL queries, Tableau, and Excel dashboards to extract the desired results. I worked on a project for which I created a predictive model which made decisions like which perishable product to be ordered, the quantity in which to order, and when to order, and tracked the KPIs simultaneously.In my current role, I was also able to step up and manage the operations of the entire facility for three months, through the challenging times. I successfully accelerated the product delivery time with increased pick time efficiency by utilizing the ERP software. Through analysis of our sales data, I created a targeted sales strategy that improved our sales performance. I improved our route selection process by using Google Directions API. Thus I have developed a great interest in gathering data, analyzing it to derive practical solutions, and improving productivity.I believe the only way to make our civilization happier sustainably is to increase productivity. It is my aim to do just that, through persistent hard work and dedication.
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