Tushar Nahar

adcicj@r.postjobfree.com 979-***-**** https://www.linkedin.com/in/tushar-nahar-92231b94/ EDUCATION

Texas A&M University, College Station, Texas

MS in Industrial Eng. (Dual Specialization -Operations Research, Data Sciences) National Institute of Technology, Tiruchirappalli

Bachelor of Technology in Production Engineering

December 2019

GPA :3.75

June 2015

WORK EXPERIENCE

Texas A & M, Graduate Teaching Assistant, Technology Management Ramco Systems, Chennai

In-Memory Planning and Optimization, Corporate Research and Development Sep 2019 - Dec 2019

Jul 2015 - Jul 2017

Designed and developed Multi Objective Agent Based Planning and Optimization software for vehicle routing, resource allocation and order scheduling for Ramco Systems ‘s Logistic Suite for Giga Logistics, Malaysia.

• Performed requirement analysis and provided functional specification of the software during software design phase.

• Performed master data management and developed database components of the application using Excel and SQL

• Developed use case and user stories for software testing. Performed testing using black -box testing methods like use case testing and exploratory testing etc. Performed system testing and integration testing on interfaces.

• Increased the resource utilization by 65%, reduced operational cost by 25%. Estimated savings > $165,000 per year.

Developed a configurable prototype for packaging optimization using lpsolve and RShiny package in R

Performed requirement engineering for a planning & scheduling software in the educational services industry.

Worked on developing optimization models for flight scheduling, job shop scheduling etc. Ramco Integration Services, Corporate Research and Development

Managed the technical operation of SOA based integration platform for clients in Logistic Industry

• Performed business and technical analysis for ensuring the technology meets the business requirements

• Modified the operation of the existing software architecture to accommodate the business requirements of clients.

• Managed the integration operations of clients. Maintained software environment, performed debugging and Provided support. Successfully completed integration solution for 4 clients and >100 integration services. ACADEMIC/INDUSTRY PROJECTS

Revenue Management for LA Bike Share Data May 2019

• Performed Demand forecasting and Revenue Forecasting using ARIMA models and Exponential Smoothening model in Python to suggest pricing changes, changes in bicycle staging. Identified critical factors that affect whether a region will be successful in the future. Provided visualization in Tableau. Lot Sizing, Uncapacitated Facility Location, All Shortest Path Problem in CPLEX Aug 2018 - Dec 2018

• Formulated a configurable optimization model for Lot Sizing Problem, Uncapacitated Facility Location, All Shortest Path Problem in CPLEX using C++ Concert Technology /AMPL. Development of case studies for a multi-tiered Supply Chain with Stochastic components using Simulation using Python May 2018 - Aug 2018

• Developed a configurable simulation multiple supply chain models including multi-tier multi-item supply chain with stochastic components using Simpy in Python. Evaluated SIOP policies based on performance metrics. Provided visualization using Matplotlib.

Epileptic Seizure Detection with EEG using R Apr 2018

• Developed a model to identify epileptic seizures using supervised and unsupervised learning techniques (Neural Network, LDA, QDA, KNN, SVM,Decision trees) based on k-fold CV error and identified the best classification technique. The model achieved an accuracy of 95 percent. Barrier Analysis of e-Retailing in India Jan 2015 - May 2015

• Performed a literature review to Identify the key operational barriers to growth of e-retailing firms in India. Followed using Fuzzy MICMAC and Fuzzy ISM to determine the strength of interrelationship and interdependencies in the barrier. Classified the barrier into four categories based on their driving power and dependencies RELEVANT COURSEWORK

-Linear Programming (ISEN 622) – Integer and Mixed Programming(ISEN 668) – Non Linear Programming & Dynamic Programming(ISEN 623) – Simulation Modelling(ISEN 625) – Machine Learning Engineering(ECEN 689)–Data Mining & Analysis(ECEN 758) –Deep Learning (Coursera Specialization) --Time Series Analysis & Financial Econometrics (STAT 631) – Statistical Analysis(STAT 610) -- Stochastic Analysis(ISEN 609) –Operations Management(ISEN 615) – Supply Chain Network Design (ISEN 601) –Dynamic Simulation using python (ISEN 685) –Statistical Analysis(ISEN 613) – Decision Analysis(ISEN 627) – Advanced Categorical Analysis(STAT 659) -- Applied Analytics(STAT 636) Languages: R, Python,,Java, C++ Data Management: MSSQL,Excel, XML Software Packages: Simio, SAS EM

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