YASHWANTH CHOWDARY YEDDULAPALLI Phone: +1-716-***-****

Apt No: 210, 1400 Millersport Highway Email: act4l7@r.postjobfree.com Buffalo, NY,14221

Education:

UNIVERSITY AT BUFFALO, THE STATE UNIVERSITY OF NEW YORK Master of Science in Industrial Engineering, CGPA: 3.56/4.00, May 2016

VELLORE INSTITUTE OF TECHNOLOGY

Bachelors of Technology in Mechanical Engineering, CGPA: 8.40/10.00, May 2014 Certification:

Currently pursuing Lean Six Sigma Black Belt certification offered by UB TCIE. May 2016 (Expected)

Certified Lean Six Sigma Green Belt certified by Benchmark. August 2014 Technical Skills:

Six Sigma Quality, Factorial Design, GR&R, SPC, Root Cause Analysis, APQP, PPAP, Statistical Analysis, 5S, Process Mapping, Value Stream Mapping, Continuous Improvement, Process Capability Study, PFMEA, A3, Kaizen, 8D. Software Skills:

Minitab 17, @Risk, Arena, Solid-Works, Microsoft Office. Industrial Engineer Experience:

Department of Water Resources, Town of Tonawanda Sep 2015 – May 2016 Lean Six Sigma Black Belt Intern

Reduction of Electrical Expenses at the Water Treatment Plant of Tonawanda by 20% within a time frame of a year using the DMAIC Methodology.

Designed the project charter and identified KPIV using SIPOC and Process Map.

Measured the current performance of the process and identified the CTQ’s to determine the baseline performance.

Performed Measurement System Analysis to validate the current measurement system before collecting the data.

Root Cause Analysis of the problem using Cause & Effect diagram to identify the potential source of the problem.

Pareto Analysis of Power distribution in the Water Treatment Plant to identify the major source of power consumption.

Brainstormed the possible solutions with the team and developed a solution matrix for the root cause identified.

Worked with manufacturing engineers to evaluate the current pump performance and identified the areas of improvement.

SPC analysis to make sure that the process is in control with the proposed solution. Ashok Leyland, Manufacturing Division, Chennai, India June 2012 Manufacturing Engineer Trainee

Training in the Engine Assembly which consisted a systematic study of the assembly of the various parts of the engine on an advanced high speed assembly line, starting from the machining of the cast engine blocks to final engine testing.

Trained on performing Time Studies at the Industrial Level and analyzing the data to improve the current performance of the process.

Developed a Value Stream Map of the Engine Assembly process to understand the flow of the process. Projects:

Quality Assurance Jan 2015 – May 2015

Objective of 3 second flight time for the paper helicopter has been achieved using the fractional factorial design.

Validated the Measurement System using Gauge Repeatability & Reproducibility (GR&R) before measuring the flight time.

Multivariate Regression Analysis has been performed to determine the factor levels to use in-order to achieve the objective of 3 second flight time.

Capability Analysis has been done to verify whether the process is in control with the help of X–bar and R-chart. Six Sigma Quality – CVS Pharmacy Aug 2014 – Dec 2014

Project Selection Matrix has been used to identify the potential projects to work and Inconsistencies in the Inventory Storage unit has been selected as the opportunity to work on.

Detailed Process Maps have been developed to measure the current state of the process. Performed Root Cause Analysis using the Cause and Effect Diagram.

5S Technique has been adopted to solve the problem and the control plan has been proposed. Multi-objective Optimization of Machining Parameters of High Carbon Chromium Steel Jan 2014 – May 2014 B. TECH Degree Thesis project, School of Mechanical &Building Sciences, Vellore Institute of Technology

Adopted Taguchi Technique and conducted the experiments on CNC Lathe Machine where the Turning Operation has been performed on High Carbon High Chromium Steel.

Surface Roughness, Tool Tip Temperature and Material Removal Rate have been measured which are considered to be the most important parameters in the Industry.

Regression Analysis to determine the speed of the machine in-order to get optimum machining parameters.

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