LinkedIn: https://www.linkedin.com/in/arushi -srivastava-6a299656

ARUSHI SRIVASTAVA Contact no: (312) 478-9445 Email: arushisri92@gmail.com Skype: arushisri92

SUMMARY Certified Six Sigma engineer (Green) with a proven track record in Lean Quality and Process improvement in a global manufacturing

company with Honed Electronic Fundamentals

Possess skilled IT Acumen in Supply Chain Management skills, Oilfield Exploration Drilling & Manufacturing

EDUCATION

University of Illinois at Chicago Master of Science in Industrial Engineering (GPA-3.45/4) AUGUST 2014 - MAY 2016

Narsee Monjee Institute of Management Studies Mumbai, India

Bachelor of Technology –Electronics & Tele communication (GPA-3.6/4) AUGUST 2010 - MAY 2014

TECHNICAL SKILLS Optimization Tools: MATLAB, SolidWorks, Minitab, MS Excel & Access, XLMiner Project Management Tools: Power Point, Pivot Tables, Microsoft Project, VLOOKUP,ERP Programming Languages: C, C++, Java, Assembly Language, Embedded Systems, R programming Concepts: Production Planning & Scheduling, Manufacturing- EBOM/MBOM, Supply Chain, Lean Six Sigma

WORK EXPERIENCE Bobrick Washroom Equipment, GAMCO Division, Durant, OK JUNE 2015 - AUGUST 2015 Supply Chain & Manufacturing Engineer www.bobrick.com Bobrick is a 100+ year-old global washroom accessory and partition company, headquartered in North Hollywood, CA with

six manufacturing divisions across the United States and Canada.

Performed weekly cycle count using ABC analyses ,Noticed absence of Lean techniques hence implemented Kaizen, Kanban system

and proposed 5S methodology to upgrade storage space, reduce bottleneck & delayed production – alleviated obsolete inventory,

50% improvement in space utilization and improved lead time to 21 days

Re-designed Economic Order Quantity (EOQ) and Reorder Point (ROP) by optimizing Max-Min inventory holding and ordering cost

Updated system with the in- stock (IS) products by Skilfully maintaining records in company’s ERP database CIRCA, prevented

delivery concerns and improved capacity to cater to larger influx of demand

Re-created company’s product line Sales Analysis module for a product by creating forecasting module – enhanced it by 15% &

improved season’s inventory stock by optimized Demand – Supply Stock

Restructured company catalogue to fulfil customer demand later improved company’s sales revenue

Re-designed Build up cost, Material cost, Labour cost and Esc Mfg. cost modules for a highest selling product henceforth product’s

Quoting improved and cost build up error reduced by 85%

Performed time and motion study of operation algorithm used for calculating Labour cost in cost build-up

ONGC-OIL and Natural Gas Corporation, Mumbai, India MAY 2012-AUGUST 2012

Operations and Research Engineer www.ongcindia.com

India's largest oil and gas exploration and Production Company. It produces around 69% of India's crude oil (equivalent to around 30%

of the country's total demand) and around 62% of its natural gas

Researched on Scalability Analysis of new SCADA system and corresponding real time Electronic Data Interchange of Assembly line

IT application at ONGC R & D Centre for data acquisition and corresponding real time decision support system

Analyses of monitoring system & automated controls of unmanned rigs and platforms, time lags upon action at change in integrity

Proposed change of WAN link with greater fault tolerance- Free Space Optics (FSO) communications where voice, data and video is

transmitted at bandwidths up to 1.25 Gbps

ADDITIONAL EXPERIENCE UIC Campus Recreation Center, Chicago-IL, Recreational and Fitness attendant AUGUST 2015-MAY 2016

PROJECTS VF BRANDS: GLOBAL SUPPLY CHAIN STRATEGY AND REVENUE FORECAST TECHNIQUES MAY 2015

Forecasting of Quarterly VF-Brands Total Revenue and how other parameters affect the sales using different methods of forecasting,

also proved “third way” sourcing strategy to be efficient for the firm

DESIGN OF EXPERIMENTS AND ANALYSIS IN SENSOR TESTING FOR AN INDUSTRY DECEMBER 2015

Generated a 23 factorial design, considering factors temperature, pressure, volume of Oxygen and its effect on the sensor

Box-Cox plot, Interaction plots, residual plots and Main effects plot helped to interpret results using Minitab

TIME SERIES ANALYSIS AND FORECASTING OF AUSTRALIAN EMPLOYMENT DATA DECEMBER 2015

Estimated trend in employment data, using R- programming to obtain the ARMA model that fits the raw data and used. The result from

the model to forecast the Employment rate of Australian population

IMPROVING CAPACITY FOR A CEMENT MANUFACTURING COMPANY TO INCREASE CAPACITY MAY 2016

Enhanced the plant layout and material handling system of the facility by performing capacity analysis. Also designed layouts using

AutoCAD and SolidWorks, considered new forecast of the demand, performed scheduling in order to capture increase in capacity and

demand.