Industrial Engineer Manufacturing

INDUSTRIAL ENGINEER

VINAYAK VARMA RUDRARAJU

EMAIL: admir5@r.postjobfree.com PHONE: 415-***-**** LINKEDIN: https://www.linkedin.com/in/vinayak-varma SUMMARY

A hands-on industrial Engineer with 2 years of experience in Lean Principles, Analytics, Statistical Process Control, Data Analysis, RCA (Root Cause Analysis), JIT (Just-in- time)principles, Standardization, and Sustain, Inventory control, and Continuous Improvement. Highly analytical, and enthusiastic team player with a passion to tackle complex systemic issues and keen to learn and grow with the organization. EDUCATION

M.SC. INDUSTRIAL ENGINEERING Jan. 2019 - Dec. 2020 University of South Florida, Tampa FL

B.TECH MECHANICAL ENGINEERING Sept. 2013 - May 2017 G.R.I.E.T Hyderabad,India

LEAN SIX SIGMA & QUALITY ASSURANCE: Inventory control, Process validation, Statistical Process Control (SPC), Lean Principles, Poke-Yoke, Root cause analysis, Teamwork, Leadership, Problem Solving, Kanban, VSM, Critical Thinking, Decision -Making, Failure mode and effect analysis (FMEA), Pareto analysis SUPPLY CHAIN MANAGEMENT & PROJECT MANAGEMENT: Demand Planning, Push & Pull Systems, Forecasting, Inventory Control, Procurement, Production Planning, Inventory Management, Capacity planning, Logistics, Warehouse Management, Distribution & Allocation, Optimization, Sales & Operations Planning, Global Supply Chain, PERT, CPM, Gantt Chart, Project Scheduling, Network Diagram, Payback Period, Cost Analysis, Risk Management, Learning Curves SOFTWARE: Microsoft Office Suite, Microsoft Project, MS Excel, SolidWorks, AutoCAD, MATLAB, Python (Pandas, NumPy, Matplotlib, Scikit-Learn), SQL, R, Tableau, Jupiter Notebook, Power BI, MySQL, SQL Server, VBA SKILLS

EMPLOYMENT

JOHNSON CONTROLS, Junior Manufacturing Engineer, Tampa, FL Mar. 2021 - Current Analyzed ambiguous problems in existing HVAC manufacturing equipment and developing methods to improve OEE performance, efficiency, and reliability. Reviewed and updated the standard process cycle time, working plan, manufacturing BOM for industrialized parts. Collected and performed time studies as needed to complete work center times by product families and completed upload forms for each part with demonstrated work sampling method and achieved 95% accuracy.

Responsible for monitoring KPI and supported the execution of continuous improvement activities on existing and future equipment within the business. AMAZON, Quality Analyst, Hyderabad, India Oct. 2017 - July 2018 Increased the service delivery invoice quality rate from 89% to 94% by providing an accurate delivery location to the delivery agent. Primarily dealt with Service quality in LMAQ (Last mile analytics and quality) along with Cycle Time Reduction, Bottleneck Management, operational issues, and activities related to the transportation process, quality, and optimization. Achieved an in-depth understanding of operations and the analytical needs of a typical service industry and learned the Kaizen methodology of Continuous Improvement at Amazon.

CALL HEALTH, Process Improvement & Operations Intern, Hyderabad,India Dec. 2016 - Oct. 2017 Used process improvement tools like Value Stream Mapping, Muda, Mura & Muri to Identify and resolve areas of improvement in the cycle time of consultation, assessment & delivery of required drugs to the patient by 10%.

Precise inventory planning, Capacity Planning, Production Planning, and timely deployment/allocation of medical resources to customers’ doorstep. Took actions to meet daily customer order requirements. Streamlined the process of the entire BTL campaign. 76,000 customers were enrolled as part of the campaign which operated for 90 days. PROJECTS

DATA ANALYTICS NBA-BASKETBALL TRENDS MOOC – DATA ANALYTICS Mar. 2020 - June 2020 Analyzed a massive NBA Players dataset consisting of 100,000 rows using R and Python; Cleaned 10% of data set using Imputation Techniques like mean, median, and fill. Visualized the data to answer questions related to the NBA players’ Salaries, players’ Ratings, and Accuracy, using Power BI and Tableau; Built dashboards for the dataset to get an overview of how the variables are related to the players’ Salary. Analyzed variables using Boxplots, Violin plots, and Linear plots to deduce the Outliers and Distribution of the data. ENGINEERING ANALYTICS ASHRAE GREAT ENERGY USAGE PREDICTION Aug. 2019 - Dec. 2019 Predicted the meter readings of buildings present in different time zones using R Studio; Analyzed the building energy consumption dataset using R. Conducted regression analysis to predict future metered buildings’ energy usage, achieving a 72% accuracy on separate test data. Decision Tree Regressor improved accuracy in predicting the usage of energy in a particular building. Visualized the dataset using ggplot and tableau to understand the data. ADVANCED LEAN SIX SIGMA LAUNDRY- QUALITY & PROCESS EFFICIENCY IMPROVEMENT Jan. 2019 - May 2019 Improved efficiency of the Laundry process at Hyatt Place by the implementation of LEAN tool DMAIC (Define, Measure, Analyze, Improve, and Control). Improved the total time taken for one full laundry cycle by 15%, along with quality assurance. Improved takt time efficiency by 15%, Improved Quality Assurance processes, leveraged/utilized Lean Principles to eliminate waste, & cost by over 10%. SUPPLY CHAIN MANAGEMENT PROJECT UNIVERSITY OF SOUTH FLORIDA Aug. 2019 - Dec. 2019 Analyzed and provided suggestions on vendor selection for the Forever Young firm; Analyzed flows, production requirements/network and leveraged MS Excel to create an MCDM to come up with an optimal model.

Devised the optimal production network and analyzed methods to optimize production, inventory control, and reduce shipping costs in the Cool Wipes Organization.