Akshay Kochhar Email & Phone Number

Tewksbury, Massachusetts, United States

Los Angeles, California, United States

• Developed Supplier Criticality dashboard by allocating a points based score and identifying 43 of 2037 suppliers based on parameters such as Asset count, CAPEX Spend, alternate supplier availability for continuous improvement programs• Estimated mold cycle cost by comparing high consumption parts of multiple suppliers using Excel (VBA, Pivots, VLOOKUP) & Tableau which resulted in cost reduction of 5% YOY• Developed monthly dashboards in PowerBI to capture supplier KPI’s such as equipment service performance, Mean time to Repair, Mean time between Failures, parts and consumable spend which improved supplier performance by 11%• Analyzed equipment availability, fault severity, cycle time performance & change over times using EIT & Shotscope which reduced equipment downtime by 7%• Worked cross-functionally with departments, production and vendors to automate weekly data extraction using Automation Anywhere and develop detailed analysis reports for data-driven decision making

Greater Boston Area

- Peer mentoring for new incoming students- Consulting group of 15 international students to help resolve cultural differences and adjust to the academic and social life of Boston- Help students set short and long term goals and motivate them to achieve those goals

Plainville

- Assisted in migration of manufacturing facility valued at $100M from China to the USA, saving 21% cost per batch - Proposed multiple machine layout efficient possibilities which resulted in manpower reduction by 48%- Designed control system to coordinate activities and production planning to ensure that products and process meet efficiency & quality standards- Designed, developed and maintained manufacturing routes to maximize effectiveness, efficiency and space- Analyzed old shipping processes and implemented new changes which improved customer satisfaction by 12% through NPS- Refined existing SOPs and conducted multiple training session for 20 employees- Comprehended, documented and presented 16 financial KPI’s into meaningful dashboards to indicate variance and suggested corrective measures- Collaborated with the demand planning team to maintain adequate inventory in different warehouses as per demand-supply forecasts- Created weekly dashboards of machine productivity tracking headcount, machine efficiencies, and breakdowns - Developed various business models on the basis of past orders & sales and to determine future capacity requirement- Evaluated each machine operation to define accurate production rates and created a dashboard to compare findings according to current standards

Navi Mumbai

- Developed exponential time series forecasting with ARIMA model using Python to predict weekly, monthly sales worth $100M across different business channels- Performed demand segmentation and forecast feasibility analysis to create new product families and optimize SKU bucket classification, achieving forecast accuracy of over 85% across top-selling product families- Analyzed historical trends and demand variability to assess current forecast accuracy and strategized efficient inventory plans to achieve a 15% reduction in safety stock levels- Conducted SIOP meetings with operations and sales to ensure planning activities for 4+ months of future demand forecasts and mitigate risk in supply chain through capacity analysis of suppliers and internal manufacturing operation- Corrected forecasted BIAS and MAPE exceptions by 14% using Business Objects, Access databases and Excel (Vlookup & Pivot Tables) in multi ERP environments including SAP, M3, etc- Collaborated cross-functionally with marketing, product, finance team to achieve demand consensus by 90%, ensuring optimal inventory levels to realize targeted customer service level agreements (SLAs)- Generated KPI’s to forecast stock accuracy, Leadtime analysis Supply/Demand variability, Inventory Budgets, Service level goals, Customer/Vendor On-Time Delivery, Credit risk analysis- Compiled a comprehensive list of the current parameters for each major vendor, including Reordering Policy, MOQ, Order Multiple, Safety Stock Levels, Lead Time, and In-stock % goals. - Accomplished data aggregation, dashboard & KPI development, decision modelling using SQL for a long-term forecast, which helped the company to plan ahead of time for peak season- Performed Activity-based costing (ABC) analysis to filter out inefficient and slower-moving products reducing storage space and inventory handling cost of 625 SKU’s by 31%

Master'S Degree, Engineering Management, 3.8/4

Activities and Societies: NU-ASEMOperations Research, Probability and Statistics, Engineering Project Management, Supply Chain.

Bachelor'S Degree, Computer Engineering, 7/10

Activities and Societies: IEEE, Computer Society of IndiaMachine Learning, Artificial Intelligence, Data Structures, Data Mining, Database.