Analyst Intern Supply Chain

Education

DINESH VARMA ALLURI

602-***-**** linkedin.com/in/dinesh-varma-alluri-23a3ba22b ********@***.*** M.S in Industrial Engineering August 2021 - May 2023 Arizona State University, Tempe, AZ. GPA-3.67

Relevant Courses: Advanced Quality Control, DOE, Stochastic Operations Research, Supply Chain Management, Production Systems, Supply Chain Modelling and Analysis, systems Engineering Bachelor’s in Mechanical Engineering July 2017 – December 2020 Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu. Relevant Courses: Supply Chain Management, Operations Research. GPA-3.20 Technical Skills

Supply Chain Management & Quality: Inventory management, Demand Planning, Forecasting, Procurement, Poka Yoke, Root Cause Analysis, KAIZEN, Value Stream Mapping. Microsoft Office: Excel, Word, Outlook, Teams etc. Software Tools: AutoCAD, ANSYS, ADAMS, Simplify 3D. Python, C, R, SQL, MATLAB. Project Management: Prioritization, Critical Thinking, Delegation, Collaboration, Planning. Work Experience

Arizona State University: Tempe, United States Graduate Teaching Assistant Aug 2022 – Present

• Serving as a teaching assistant for Prof Ashif Sikandar Iquebal Advanced Quality Control course at the Ira A. Fulton Schools of Engineering.

• Helping with grading examinations, case studies, quizzes and managing the classroom. RINL, India Quality Assurance Intern Nov 2018 – Dec 2018

• Performed quality control checks on both raw materials and the produced steel ingots, compiling reports on their condition, flaws, and risk factors.

• Inspection of product quality by performing physical examination of steel billets.

• Streamlined the manufacturing process to ensure compliance with the quality control standards.

• Generated a VSM after researching the process flow from the raw material supplier to the final consumers of steel billets. Shanthi Switch Gear Limited, India Supply Chain Analyst Intern Dec 2020- Jul 2021

• Co-ordinated with stakeholders to optimize in-bound logistics processes by anticipating and recognizing constraints to track and reduce cycle time by 20 hours per week.

• Maintained precise product line and material handling in SAP ERP planning systems to ensure the formulation of low- cost, and weekly material procurement

• Established analytical solutions & automated reporting for cross-functional teams to ensure PFEP-BOM data integrity

• Improved team cohesion by organizing sprints and retrospective meetings to facilitate internal communication.

• collaborated with the sales and operations planning department to improve inventory holding costs by 37% and warehouse space utilization through the use of demand planning to acquire the optimal order quantity (EOQ).

• Used SQL queries to manage inventories and cut backorders by 17% while conducting analytical evaluations of operational operations utilizing systems like the Warehouse Management System and Transportation Management Systems.

• Reconciled inventory inaccuracies using Purchase Order (PO), obsolete report and transaction trace history. Academic Projects

Evaluation of CUSUM based control charts Arizona State University, Fall 2022

• Identified the change point in the sequence using CUSUM and change point Analysis, found out the point where the process has gone OOC.

• Detected a small change in shift of 0.45 from the statistical data that incorporates the previous and current values.

• Calculated the Average Run Length of the change point using Markovian approach. Design of production layout Arizona State University, Spring 2022

• Shortened production schedule by reordering orders according to their processing timeframes and reducing queues.

• Using linear programming to optimize labor expenses, we have reduced manufacturing costs by 15%.

• Improved the profit margin of the corporation by 4% using Single Pass Heuristic technique.

• Optimal production line was compared to other approaches such as Binary Coding and FMS. Supply chain analysis of Engine oil Products Arizona State University, Spring 2022

• Determined Optimal Order quantity (EOQ) and reorder level using Q, R policy for the Engine Oil products.

• Evaluated the change in inventory control policy, Calculating Optimal Q, R policy and its Cost and Performance. Designing the logistic network of a company Amrita University Amrita University, Fall 2020

• Determined the effective warehouse for the company based on their demand.

• Differentiated methods and listed the results from each and found out the most efficient route which results in maximum profit for the company.

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