Northeastern University, Boston, MA Sep 2017 – Dec 2019
Master’s in Industrial Engineering GPA 3.76
Coursework: Supply chain, Logistics, Warehousing and Scheduling, Demand Planning and Forecasting, Lean Concepts, Operations Research, Project Management, Data Visualization, Probability and Statistics.
Anna University, Chennai, India Aug 2013 – May 2017
Bachelor’s in Mechanical Engineering GPA 7.67
Coursework: Manufacturing Technology, Process Planning and Cost Estimation, Total Quality Management
Technical: Six sigma green belt, MRP, Strategic sourcing, Supplier evaluation, Data Wrangling, Data visualization, Demand Planning and Forecasting, Ad hoc Reporting, Kaizen, Root cause analysis, 5S, Value stream mapping, Lean manufacturing.
Software: SAP, Microsoft Excel, Power-point, Microsoft Word, Microsoft Project, SQL, R, Tableau.
HP Hood LLC, Lynnfield, Massachusetts Aug 2018 – Dec 2018
Strategic Sourcing Analyst
Performed cost analysis of items to detect discrepancies with forecast and point of sale data by determining MAD and MAPE.
Developed RFI and assessed RFP and RFQ by generating scorecard with landed cost, quality, delivery time and volume.
Standardized and migrated material and Vendor master database from Legacy system to SAP in LSM Workbench.
Decomposed sales data to understand underlying trends, and seasonality. Developed Holt-Winters and ARIMA time series model to forecast short term demands for various product mixtures.
Created scripts in SQL server to reconcile Sales and Savings data and identified data incongruencies.
Evaluated current suppliers by creating a performance matrix with weighted KPI values gathered over time.
Compiled Commodity Profiles for category managers and evaluated alternate suppliers from a contingency standpoint.
Collaborated with multi-functional teams, gathered business requirements, and developed reports and dashboards in Tableau.
Axles India Pvt. Ltd., Chennai, India Jan 2017 – Jun 2017
Process Improvement Intern
Identified root cause of failures in machines by analyzing production data and conducting Failure Mode Effect Analysis.
Adapted ABC analysis to reduce inventory by determining requirement of components and adjusting safety stock.
Created service part interchangeability matrix to identify existing parts that can replace the obsolete parts.
Mapped and analyzed key processes and made recommendations for improving productivity by cutting down redundancies.
Reduced cycle time by interacting with workers and ran PDCA techniques to achieve Kaizen in process line.
Increased productivity of axle housings by 38% by achieving Single Minute Exchange of Dies (SMED).
Benchmarked best practices to determine optimal techniques for improving responsiveness of business operations.
Eco Materials, Chennai, India May 2016 – Aug 2016
Supply Chain Intern
Used MRP to enter new work orders and defer/expedite/cancel existing orders for finished goods production.
Cleaned BOM data in legacy systems and updated data from EBOM to SBOM, which increased accuracy by 32%.
Created purchase orders and ensured on-time delivery of raw materials by working directly with 3PL.
Optimized Supply of Outside Processing components by restructuring BOM to improve material availability.
Analyzed daily inbound inventory based on weekly demand and controlled accumulated inventory across various locations.
Box Office Forecasting Mar 2019 – May 2019
Performed Qualitative forecasting of box office revenue for the movie Dumbo in opening weekend.
Queried multiple data sources to extract unstructured datasets to determine historical trend and seasonality for similar movies.
Created a regression model to predict sales, by analyzing correlation and incorporating feature engineering techniques.
Utilized forecast accuracy, forecast value add, and forecast bias to improve the model’s quality of forecast.
Aircraft Factory Simulation Jan 2019 – Feb 2019
Developed a process map to identify value stream and eliminated non-value-added activities.
Improved productivity by 22% and reduced Takt-time of individual sub-assemblies by implementing PIPO.
Reduced idle waiting time and excess inventory by incorporating JIT inventory control to form a pull system, which reduced 60% of wait time and eliminated excess inventory.