Engineer Supply Chain

PROFILE OF QUALIFICATIONS

• Provable Knowledge on fundamentals of supply chain management, strategies, building competitive infrastructure and maintaining CRM and SRM effectively

• Intensive knowledge in implementing Lean Manufacturing and Six sigma techniques.

• Outstanding knowledge in MRP, SOP, manufacturing procedures and using SPC tools in data analysis

• Excellent documentation, Strong written, communication and organizational skills

• Demonstrative ability of problem solving, coordinating and planning

EDUCATION

Master of Science in Industrial Engineering (specialization in Supply chain Management) December2009 Oklahoma State University, Stillwater, Oklahoma GPA 3.3

Bachelor of Technology in Industrial and Production Engineering April 2007

Acharya Nagarjuna University, Guntur, India GPA 3.8

PROFESSIONAL EXPERIENCE

Manufacturing Engineer II

Schlumberger, Houston, TX Jul’10-Present

• Research current market trends and work closely with marketing team to gather market demand.

• Analyzing sales data, forecast and allocate rental drill bits for the districts based on demand

• Tracking bits flowing in/out of inventory and correlate with orders.

• Implement inventory management techniques for minimizing inventories and accurately meet demand

• Report forecast and inventory metrics for monthly and quarterly business monitoring.

• Monitoring metrics and assist field service coordinators in identifying areas for improvement.

• Train field service coordinators with standard operating procedures and new applications.

• Lead engineer on smaller project with some functional supervision.

• Developing data based tools to track KPI’s for improving Rental fleet efficiency.

Quality Engineer Internship

Smith International Inc, Houston, TX Jun’08-Aug’08

• Implemented lean manufacturing and six sigma techniques for elimination of wastes and increase productivity

• Attained workable knowledge in advanced statistical and Modeling tools

• Achieved breakthrough improvements; Eliminated human errors by 4%

• Performed statistical analysis of data using JMP, Minitab, Matlab and SAS software

• Monitored the Coordinate Measuring Machines utilization, downtime and implemented corrective actions to make proper readings and fixed the errors in measuring process

• Assisted workers in equipment utilization and maintenance.

Industrial Engineer Internship

Kumar Pumps & Motors, India May’06- Aug’07

• Managed daily changes in customer scheduling requirements and improved process efficiencies

• Balanced work flow between manufacturing facilities and minimized inventory carrying cost

• Implemented TQM and TPM techniques for reducing errors in manufacturing process

• Improved overall equipment effectiveness of machines by 15%

• Reduced total manufacturing cost by 30%

• Recommended new production equipment for increasing the process capability

Projects:

1. Supply Chain Optimization

• Managed and planned production events in a manufacturing firm to meet variable seasonal demand

• Applied inventory management concepts to control production and logistic movements

• Reduced transportation cost and inventory expenses.

2. Enterprise Resource Planning

• Hands on experience with SAP software

• Worked on materials management(MM) and distribution(SD) modules of SAP

• Processed customer orders, created organizational structures and developed production orders

3. Project Management

• Attained knowledge in MS project software

• Expertise in identifying the tasks, resources needed and goals for completion of project

• Determined project plan with goals and objectives to organize a soccer coaching camp

4. Data Process and Object Modeling

• Intellect in Microsoft Access for designing Database

• Demonstrable knowledge in Logical and Physical models in the analysis, design and improvement of enterprise systems.

• Generated a variety of outputs which include scheduled events in a calendar format, invoices/receipts for the participants, income and expense statements and budget statements

5. A Multi objective optimization using Genetic Algorithms – A Case study in turning operation

• Models for cutting force and surface roughness were developed using step-wise multiple regression technique

• Minimizing cutting force and surface roughness, and maximizing material removal rate were considered as objectives and an attempt was made to optimize the process using Genetic Algorithm approach

• Implemented C language for fabricating a code for Genetic algorithms.

COMPUTER SKILLS

Languages: Java, HTML, C++, C

Operating Systems: Windows 9x, 2000, XP, Vista

Tools & utilities: AutoCAD, I-DEAS, ANSYS, PRO/E, MATLAB, MS Office Suite, Front Page, UML, IDEF0, IDEF3, JMP, Minitab, MS Project, SAP R/3, MS Visio, MS SQL, DEMANTRA, GEMS, FMS

Professional Affiliations

Member of American Society for Quality (ASQ) (Aug’09-present)

Member of Institute of Industrial Engineers (IIE) (Aug’09-Present)

Member of APICS (Jan’11-Present)

*Willing to Relocate*

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