Sandeep Nemmani
About
Sandeep Nemmani is from Fremont, California, United States. Sandeep works in the following industries: "Automotive". Sandeep is currently Senior Material Planner-Supply Chain at Tesla, located in Fremont, California. In Sandeep's previous role as a Material Planner-Supply Chain at Tesla, Sandeep worked in Fremont, California until Jul 2019. Prior to joining Tesla, Sandeep was a Graduate Student at Texas A&M University and held the position of Graduate Student at Bryan/College Station, Texas Area. Prior to that, Sandeep was a Intern-Production Control at Tesla, based in Fremont, California from Aug 2015 to May 2016. Sandeep started working as Seller Support Associate at Amazon in Hyderabad Area, India in Oct 2013. From Jul 2012 to Aug 2012, Sandeep was Industrial Training Intern (Production Department) at Bharat Heavy Electricals Limited, based in Hyderabad Area, India.
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Sandeep Nemmani's current jobs
• Supply chain operations liaison for metered and sequenced deliveries of harnesses used in the subframe, instrument panels, painted bodies and frunk for Tesla models S/X + fascias for model Y • Improved the order cycle time for fascia sequencing process by 38% via implementation of lean safety stock models based on demand take rates, resulting in monthly savings of ~$30,000 due to downtime avoidance • Worked on the procurement channels for 600+ subcomponents for LV/HV harnesses in the Service domain • Reduced part waiting times worldwide by improving material flow strategies for over 300 components amounting to $370,000/quarter savings for the service domain
Sandeep Nemmani's past jobs
• Effectively managed the shipping operations and achieved holding inventory reduction targets for over 200 components across 6 product groups in the model S/X Powertrain division of Tesla • Rectified various manufacturing BOM structuring discrepancies driving inflated MRP data of about 57% over the actual material consumption plan, thereby preventing the potential material over procurement worth $8.4 million annually • Developed a supply chain transition plan to minimize expedited logistics and inventory carrying costs for material worth $1.8 million by identifying program re-purposing opportunities for the model S/X display electronic components • Transformed redundant multi-channel supply chain setups to a unified one, resulting in a single-occurrence cost savings of $300,000, as well as recurring annual cost savings of $675,000 • Built a customized MS Excel report simulating the factory-wide MRP and supply plan for the battery pack insulators, which was widely used for a $17/vehicle cost savings manufacturing program • Calculated the consolidated vendor operating investments needed to enable multiple potential build plan scenarios of the Tesla extended range/performance versions • Recognized department-wide multiple times for successfully managing a complex subcontract relationship involving 3 suppliers and 4 distinct manufacturing processes by mapping a defined supply chain path
Graduated in December 2016 with a Master of Engineering (M.E) degree in Industrial Engineering
• Developed 8 dashboards using Tableau 9.0 to employ RCCA methods for the improvement of the material handling KPI’s such as fill rate, order pick rate, aging inventory disposition, and optimal conveyance routing • Improved the warehouse storage utilization by 36% for a kaizen project by revising the logic of safety stock for option variant-parts, and statistically analyzing the cycle times for various replenishment processes using Minitab • Created and maintained a plan for every part (PFEP) database for around 2200 distinct vehicle parts. Performed several complex iterations to prescribe the optimal inventory procurement and storage levels to cater to the demand on the assembly line • Conducted capacity planning analysis for 236 bulk-sized parts based on their packaging attributes and forecasted consumption rates, which subsequently led to the reduction of delay time by 28% • Acted as an interim lead for 6 material handlers for the implementation of an automated pull-push material conveyance system that achieved a high automation level of 86% • Created a poka-yoke system using inventory transaction workflow diagram in the end-of-line (EOL) warehouse which assisted in reduction of operation expenses caused by scrapping of good quality vehicle parts and unnecessary labor
•Part of the technical team which coordinated with the Amazon fulfillment center wherein the latest material handling techniques implemented universally were leveraged •Responsible for improving the service process efficiency by reducing the client waiting time by 20% •Achieved an individual high customer satisfaction effectiveness rate of 84.11% (For a favored target rate of 80%) •Also achieved an individual high cases resolved per hour rate of 3.24 (For an average rate of 3.00 per hour), thus demonstrating my briskness in resolving the cases assigned to me
•Determined the optimal process parametric values which are used for the efficient functioning of a standard steam turbine •Proposed the concept and technical specifications of a turbine room crane, which would assist in the maintenance and overhaul of the turbine •Prepared an additional report on the six sigma principles, and how they are utilized effectively in the production department of BHEL •Obtained a perfect score of 10/10 on this report, with commendation referring to the attention to detail evinced