Engineering Engineer
Resume:
NJ, USA
Kruthivasan Anantharamakrishnan
http://www.linkedin.com/in/kruthi0306 **.******@*******.***
Education
NJ, USA
Rutgers University - New Brunswick
Expected – May 2021
Master of Science in Industrial and Systems Engineering GPA: 3.7/4
Current Modules: Engineering Management, Simulation of Production Systems, Supply Chain Management.
Coimbatore, India
Coimbatore Institute of Technology
Aug 2014 – Apr 2018
Bachelor of Engineering in Mechanical Engineering GPA: 9.07/10
Skills and Associations
Functional Knowledge - Transportation Network Design, Inventory Control (Cycle Count, ABC, Replenishment), Value Stream Mapping, 3PL, 5S, Process Flow, Discrete Event Simulation.
Computing - Microsoft Word, Access, Outlook, Excel (Macros, Solver, VLOOKUP, Pivot Tables), MySQL, R, Tableau, SAP ERP, AutoCAD, Arena Simulation, AnyLogic.
Other Key Skills - Goal Oriented, Multi-Tasking, Time Management, Effective Communication.
Certifications - Lean Six Sigma Green Belt https://www.credential.net/ubvc9euu
Professional Experience
Industrial Engineer – SCM
Excel Engineers and Consultants
Jun 2018 – Aug 2019
Maintained material master data and generated material pick tags using SAP ERP.
Developed inbound freight KPIs for 16 suppliers using data analysis to reduce total supply chain costs by $300K.
Located primary source of cost redundancies in transportation by carrying out Pareto Analysis.
Identified bottlenecks in production line and implemented process improvement methods (Lean Analysis) to reduce total throughput time by 12%.
Streamlined logistics (Material) flow across all production units by modifying production layout design.
Optimized inventory consumption by coordinating with suppliers to reduce inventory obsolescence by 33%.
Performed process audits and capacity audits for suppliers to ensure alignment with company’s requirements.
Summer Analyst Intern Transcar India Private Limited May 2016 – Aug 2016
Involved in day to day collection, cleaning, aggregating and organization of datasets.
Predominantly used Advanced Excel functions to preprocess and organize quarterly sales data.
Provided important anomalies and seasonal trends in data by performing Descriptive Analysis using Tableau and presented outcome of analysis using MS PowerPoint.
Academic Projects
Supply Chain Strategy – Demand forecast for COVID-19 vaccine through SEIRS and Inventory model simulation using AnyLogic (2020)
Created SEIRS model to simulate number of cases in New York city to predict demand for the vaccine.
Designed multiple inventory models to simulate different inventory review policies.
Predicted the best inventory replenishment policy for COVID – 19 vaccine mass production based on different review policies.
J&J Warehouse Optimization – Order Fulfillment Improvement (2020)
Constructed SIPOC to identify the Order-To-Delivery (OTD) KPIs and the interaction between them.
Designed Value Stream Map to represent material and information flow and to identify Push-Pull Boundary and bottleneck processes.
Analyzed bottleneck processes to conduct Root Cause Analysis to optimize order fulfillment process.
Conducted COVID-19 risk assessment on warehouse operations to facilitate risk management playbook.
Predicting the acquisition potential of Startups (2019)
With the objective of predicting if a startup would get acquired or not, collected a dataset containing 49000 records and 39 attributes from Crunchbase.
Carried out descriptive analysis using Tableau to derive insights into the dataset itself and to form a baseline for data cleaning and preprocessing.
Used Random Forest for feature selection eventually arriving at 26 attributes.
Created predictive classification models in Logistic Regression, Random Forest, and Decision Tree using R with an average accuracy of 92% and a recall of 75%.
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