Dinesh Riju Rajamohan

adgt8a@r.postjobfree.com +1-815-***-**** www.linkedin.com/in/dinesh-riju-rajamohan Analytical and detail-oriented analyst with responsibilities and experience in demand planning, forecasting, data analysis, supply planning, inventory management, process improvement, and optimization, directly involved in supporting key processes to reduce costs and increase operational efficiency. EDUCATION

Master of Science in Industrial Engineering Aug 2018 - May 2020 Northern Illinois University, DeKalb, Illinois GPA: 3.67 Bachelor of Engineering in Mechanical Engineering Aug 2013 – May 2017 Anna University, Chennai, India GPA: 3.50

EXPERIENCE

Supply Chain Analyst, Federal Signal Corporation Aug 2019 – May 2020

• Worked on exponential smoothing model for time series demand forecasting using R code to return the best-fit algorithm using RMSE

• Developed effective dashboards for visualizing key performance indicators to track and manage inventory using Power BI

• Participated in monthly forecast meetings with the S&OP team to review prior month performance

• Developed data visualization dashboards using Tableau to present Sales and Revenue data

• Worked on inventory analysis, safety stock, and reorder point updates to reduce lead times and excess inventory

• Applied supply chain knowledge to meet target inventory goals while minimizing costs Supply Chain Intern, Federal Signal Corporation May 2019 – Aug 2019

• Worked on evaluating and optimizing inventory turns at product family level considering raw materials

• Achieved an inventory turnover rate of greater than 5 for products with a lower turnover rate

• Worked on demand planning and forecasting using Vanguard Predictive Planning software

• Analyzed the performance metrics of various products using key performance indicators and large sales, manufacturing, and procurement datasets using JD Edwards ERP, SQL, and Oracle BI

• Identified revenue and inventory concerns for over 2000+ products using Advanced Excel and ERP Research Assistant, Northern Illinois University Jan 2019 – Aug 2019

• Worked on minimizing total weighted tardiness of a single batch processing machine using Lagrange Relaxation in CPLEX software

• Compared to the Lagrange Relaxation approach with Simulated Annealing and commercial solver based on solution and computational time

Graduate Assistant, Northern Illinois University Aug 2018 – Dec 2018

• Improving and managing the database of college students using MS Access

• Generated reports in MS Excel and MS Access to improve data filtering Junior Executive, SPi Technologies Inc. Dec 2017 – April 2018

• Collaborated with cross functional teams on multiple projects to solve complex mechanical problems

• Led a team of 10 members to work on engineering problems to help visually impaired students in the United States

• Analyzed the breakdown of complex mechanical systems for descriptive purposes Manufacturing intern, United Engineers Private Limited May 2017 – July 2017

• Worked in the manufacturing of Nickel screens for Sugar machinery

• Responsible for optimizing the electroforming process by introducing metal mandrel to replace plastic mandrel

(cathode)

• The optimized process reduced the cost by 20% and increased the operational efficiency of the process RELEVANT PROJECTS

Inventory Management Oct 2018 – Dec 2018

• Analyzed annual inventory and distribution cost for setting up a National Distribution Center by comparing it with the current distribution system of a company to obtain an effective supply chain

• Worked on optimizing the transportation costs and lead times for setting up the NDC Scheduling using Lagrange Relaxation method Oct 2018 – Dec 2018

• Minimized the sum of earliness and tardiness penalties subject to constraints on a single machine

• Developed an effective lower bound and upper bound procedure for a mixed-integer linear formulation

• Successfully executed the code using CPLEX optimization software to obtain an optimal solution Data Analytics Sept 2019 – Dec 2019

• Worked on model performance analysis using K fold cross validation approach in R statistical language

• Identified a better model based on the RMSE and R- squared values for test and training set

• Analyzed model performance based on variance and accuracy using Naïve Bayes Demand Management Jan 2020 – May 2020

• Developed a detailed report on the principles of demand planning, communicating demand, influencing demand, managing and prioritizing demand, strategies for managing demand uncertainty, and demand collaboration TOOLS

• Optimization: CPLEX, Linear Programming

• Statistical Computing: R, Minitab, MS Excel

• Data Management: MS Access, Tableau, Oracle BI, Power BI, JD Edwards ERP, SAP, Visio, MySQL PUBLICATIONS

• Published a journal in Elsevier Materials Today Proceedings Publication on Investigation of Tensile Behavior of Kevlar Composite

• Published a paper on “Fabrication and Evaluation of Mechanical Properties of Green Composite” for automotive applications in the National Conference on Emerging Trends in Design, Thermal, and Manufacturing CERTIFICATIONS

• Certified Lean Six Sigma Green Belt

• Certified Professional in Logistics from NIU

• Certified Master Diploma in Automotive Design

MEMBERSHIPS

• Vice President of Alpha Pi Mu Honor Society

• Secretary of Indian Student Association at Northern Illinois University

• Member of ASCM, IISE and ASQ

• Joint Secretary in SAE- Student Convention

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