Master of Science - Computer Science (May - 2008)

New York Institute of Technology, New York | GPA: 3.8

Bachelor of Engineering (May - 2004)

Nirma Institute of Technology, India | GPA: 3.8

Professional Certifications

Project / Program Management

Professional Scrum Master I | | August 2021

Supply Chain Management

MicroMasters in Supply Chain Management Credentials | MITx | June - 2021


The MicroMasters in Supply Chain from MITx is an advanced, professional, graduate-level foundation in Supply Chain Management. Completion of five online courses and the capstone exam represents the equivalent of one semester's worth of coursework at Massachusetts Institute of Technology (MIT).

Click here to know more about the MicroMasters program

CTL.CFX Supply Chain Comprehensive Exam | MITx | May 2021

The CFx consists of two, 2-hour, timed and proctored exams. It covered all content from the previous five SCx courses.

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CTL.SC4X Supply Chain Technology and Systems | MITx | March 2021

This course covered the technology used within supply chains with a special focus on handling exceptionally large data sets. The topics covered include: Databases, SQL, Data visualization, and Large Scale analysis. Additionally, the topics of interactions and connections between systems used within supply chains, to include: Order Management Systems, Transportation Management Systems, Warehouse Management Systems, Inventory Management Systems, etc. was covered as well.

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CTL.SC3X Supply Chain Dynamics | MITx | December 2020

Topics introduced include: Supply Chain Strategy, Supply Chain Risk, System Dynamics, Global Logistics, Freight Transportation, Warehouse Management, etc.

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CTL.SC2X Supply Chain Design | MITx | September 2020

This course covered all aspects involved in the design of supply chains for companies and organizations anywhere in the world. The course was divided into four main topic areas: Physical flow design, Supply chain finance, Information flow design, and Organization/Process design. In the design of physical flows, it showed how to formulate and solve Transportation, Transshipment, Facility Location, and Network Design Problems. For financial flows it showed how to translate supply chain concepts and actions into the language of the Chief Financial Officer (CFO) of a company. It covered Activity Based Costing, Working Capital, the Cash-to-Cash cycle and Discounted Cash Flow Analysis. The design of the information flow section described how firms communicate with suppliers (procurement, risk contracts), internal resources (production planning, bills of materials, material requirements planning), and customers (Sales & Operations Planning and other collaboration based processes). In the last section, performance metric design and organizational design within the supply chain organization focusing mainly on the centralize/decentralize decision was introduced.

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CTL.SC1X Supply Chain Fundamentals | MITx | May 2020

This course was a survey of the fundamental analytic tools, approaches, and techniques used in the design and operation of logistics systems and integrated supply chains. The material was taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. The three main topic areas were: Demand Forecasting, Inventory Management, and Transportation Planning. This was neither a purely theoretical nor a case study course, but rather an analytical course that tried to address real problems found in practice.

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CTL.SC0X Supply Chain Analytics | MITx | December 2019

This course introduced the analytical methods generally used by logistics and supply chain practitioners. The course covered topics with a focus on: basic data management (cleaning, handling etc.), Probability (random variables, continuous and discrete distributions, measurement, etc.), Statistics (sampling and inference, hypothesis testing, regression, etc.), Simulation (Monte Carlo, Discrete Time period), and Optimization (classic unconstrained, network models, and linear, integer and mixed linear programs).

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Data Science

PH125.1x: Data Science: R Basics | Harvardx | June 2021

This course was an introduction to the basics of R programming. The course covered R's functions and data types, then tackled how to operate on vectors and when to use advanced functions like sorting. It also included general programming features like "if-else," and "for loop" commands, and how to wrangle, analyze and visualize data.

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PH125.2x: Data Science: Visualization | Harvardx | August 2021

This course covered the basics of data visualization and exploratory data analysis. It also covered how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The course provided a detailed explanation on presenting data-driven findings, motivate analyses, and detect flaws.

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