Ajinkya Bhalerao
Dallas, TX, 469-***-**** – ***********@*****.***, www.linkedin.com/in/ajinkyavbhalerao
EDUCATION
The University of Texas at Dallas 2020
Master of Science - System Engineering and Management, Supply chain management and operations
Relevant Courses: Statistics and Data Analysis, Global Supply chain management, Purchasing Sourcing and Contract management, Supply chain software (SAP), Global Logistics and Transportation, Project management
Honor/Awards: Recipient of Systems Engineering Department Merit Scholarship
University of Mumbai: 2018
Bachelor of Engineering - Mechanical Engineering
SKILLS
Technical Skills: Inventory, Purchasing, Negotiation, Python, SQL, Tableau, Advanced Excel, R, Microsoft Office, SAP, Inventory control, Procurement, operational systems, Operations Management, Statistics, Data Visualization, Lean Six Sigma, Project Management, Data Management, Process Improvement
PROJECTS
Business Management Simulation
• Secured a strong ROI upturn from -3.98% to 3.3% against various challenges and as per compliance standards.
• Simulating company on The Fresh Connection (TFC) platform by controlling various parameters such as inventory,
freight coordination, purchasing contract, manufacturing schedule, and customer relationship management.
Demand Forecasting and Supply Managing with SAP SCM R/3 and APO
• Forecasted a demand model with SAP APO and achieved an accuracy of 98.5% for manufacturing of a bike.
• Created a routing master to have optimum speed at an optimum cost by managing parameters like capacity planning, utilization of work center, setup time, and processing time of the raw material and procured material.
• Created Bill of Material (BOM) by taking data from Material Master to reduce inventory by applying concepts from Just in Time and Lean methodology to specify the time of arrival of a component.
• Created and managed multiple components material master for creating purchase orders, warehousing data, inventory reports and supply this data for forecasting and planning.
Demand Forecasting with Excel
• Created a demand forecast for sales of vehicles by the manufacturer with an accuracy of up to 98%.
• Effectively performed data cleaning and encoding on manufacturing data on 15000 datasets.
FSAE Vehicle
• Lead team of 25 to design and develop FSAE vehicle for racing, handling full-cycle development, and achieving the best possible quality; facilitated scaling the production of the vehicle to mass production.
EXPERIENCE
Graduate Teaching Assistant / Student Staff, University of Texas at Dallas 2019 - 2020
• Ensure student success by addressing concerns or questions as a trusted resource for complex material. Grade assignments and provided crucial, time-sensitive support in other course-related tasks.
• Implementation of MATLAB optimization tools, expanding professional expertise at every opportunity with related
concepts and principles. Supported reviews on work and progress and recommended avenues for improvement.
Operations Engineer, Sutantra Machines 2014 - 2015
• Developed and maintained relationships with suppliers and procured necessary material, maintained optimal inventory
to ensure there were no delays in production, and checked accounts receivable to ensure superior support
• Author and improved SOPs, protocols, and reports for outsourced manufactured products.
• Partnered with the in-house production team to organize production schedule which helped reduce the overall duration
by 60 minutes weekly; to ensure the in-house built parts are in inventory and ready to be installed in the product line.
• Developed and executed projects to improve supply chain efficiency to reduce operational costs of the company.
Industrial Engineer, Mazagon Docks LTD 2013
• Measured and Analyzed data to identify any inefficiencies in any areas of supply chain operations to improve efficiency
and advocate for solutions that resulted in up to 8% in cost savings and commendations from leadership.
• Measure supply chain performance and Developed a project on operations by recording relevant information and recording inefficiencies; chosen to train new hires on various company practices and procedures as a SME.
• Handled intensive maintenance of various components and suggested various inventory adjustments to prevent a halt.