Pratibha Wagle

** ******** ******, **********, ** 13905

aczg4v@r.postjobfree.com 607-***-**** https://in.linkedin.com/in/pratibha-wagle-71285745

PROFESSIONAL SUMMARY

A Lean Six Sigma certified, experienced Industrial Engineer having excellent analytical, statistical and problem solving skills along with an outstanding education record.

EDUCATION Master of Science in Industrial and Systems Engineering, SUNY at Binghamton GPA 3.8/4.0 May 2017 (Expected) Coursework: Multivariate Data Analysis, Supply Chain Management, Modeling and Simulation, Processes for Electronic Manufacturing, Human Factors Engineering and Design, Quality Assurance Engineering. Bachelor in Mechanical Engineering, University of Pune GPA 3.5/4.0 August 2013

PROFESSIONAL SKILLS AND CERTIFICATIONS

Certifications in R Programming, The Data Scientist’s Toolbox and Exploratory Data Analysis.

Proficient with MS Office - Word, Excel and PowerPoint

Experience with Minitab, R, SAS Programming, SPSS, ARENA, AUTO-CAD (2D), MATLAB, C, CATIA (Modeling)

Certifications in Lean six sigma (Green Belt) and 5 S tools

INDUSTRIAL EXPERIENCE Engineer –Change Management at Draexlmaier Manufacturing India September 2013 – May 2015

- Examined and implemented technical changes for electrical harnesses of Mercedes E and C class in order to optimize the process as well as ergonomics.

- Analyzed and developed few internal processes and documented it using Work Instructions.

- Collaborated with customer as well as experts from various departments internally in order to carry out problem solving.

- Conducted trouble shooting on shop floor on daily basis for technical issues.

- Mentored the skills, knowledge and tools required to deliver the change.

- Ensured the implementation of the change to make sure whether it has been properly adapted by the concerned individual.

- Method optimization was carried out wherever there is scope for development.

- Participated in carrying out FMEA, 5S, Root Cause Analysis, brainstorming sessions as well as internal audits along with a team which included representatives from cross functional groups.

ACADEMIC PROJECTS Predicting House Prices December 2016 Statistical analysis performed using R Programming on the residential homes data by creating an equation using Multiple Linear Regression to predict the house prices. A Guided User Interface using Visual Basics was created for our model.

Data Mining Techniques on EEG Data December 2016 Extracted knowledge from the EEG Brain Wave data by constructing models using various data mining techniques and comparing them to get the best data mining technique for this data by sensitivity analysis.

Multivariate Data Analysis of NBA in order to predict the winning team in Basketball Seasons game May 2016 A logistic regression model was created by performing Principal Component Analysis in SAS on the 20 years of NBA data. This analysis was performed in order to predict the future winning team using various parameters affecting the game result.

Termination Project of BE Program, Pooja Engineers, Pune January 2013 Created a mathematical model to study the behavior of the parameters affecting the application of Heijunka (levelled production) for assisting the analyst in making future decisions for control, structural interfacing, reliability, safety analysis of a system to be controlled and forecast undesirable events. Concepts used were Functions, Regression Analysis and MATLAB software.

RESAEARCH PAPER Paper approved and published in The Board of International Journal of Emerging Trends in Engineering and Development (ISSN NO.:2249-6149) and edited in IJETED journal issue 3, volume 3 May 2013 Topic: Formation of Mathematical Model for Heijunka to improve the process effectiveness method. The paper discussed in detail about successful implementation of Heijunka which means levelled production on an unorganized production and a mathematical model formation in order to study the behavior of the parameter affecting the application of Heijunka.

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