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Master's graduate, MIS

Arlington, Texas, United States
December 09, 2018

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Recent UT Arlington graduate with a master’s degree in Management Information Systems, and a bachelor’s degree in Information Technology, possessing a goal to devise optimal and cost-effective solutions using experience in conducting and analyzing Risk assessments, Capacity Requirement Estimations, Logistics Cost Estimations, Linear Additive Decision Models and Positioning Maps. Areas of expertise:

• Marketing Strategy • Data Mining • Supply Chain Management • Demand Forecasting • Object-Oriented Systems

• Agile Methodologies • Systems Analysis and Design • Data Warehousing

• Python • Econometrics • Database Management Systems


University of Texas at Arlington, Arlington, TX Graduated: May 2018

Master of Science, Management Information Systems

GITAM University, Hyderabad, India Graduated: May 2015

Bachelor of Technology, Information Technology


Animal Care Facility, UTA – Arlington, TX March 2016 – April 2017

Technician/ Assistant Manager

•Generated and maintained updated records of facility animals and resources, resulting in fewer errors during daily checks.

•Created reports and recommendations, assessing operations and increasing performance in problem areas by 15.9%.

•Achieved a reduction in the amount of time a technician spent in each room by 23.6% by testing different methods.

•Managed and reduced amount of time taken to complete daily tasks by 17% in 5 months.

•Increased effective use of machines by eliminating unnecessary steps during loading and suggesting alternate methods.


•Systems Analysis and Design – SchedUsys: Designed and implemented a scheduling system for students to optimize a student’s utilization of their day by consolidating a habit tracker and a daily scheduler into a single system. The application was designed to work as both, a Web application and a Mobile application.

•Achieved break-even at the end of the fourth year, with profits expected after a period of 4.39 years.

•Successfully concluded that the project was economically feasible, with a Return on Investment of 31.02%.

•Techniques and tools used: Effort Estimation, Feasibility analysis, Net Present Value, Return on Investment, Break point analysis, Organizational Feasibility, Use case diagrams, Activity diagrams, CRC Cards, Class Diagrams, Sequence Diagrams, Communication Diagrams, CRUDE Matrices and Behavioral State Diagrams.

•Project Management – Managed a team of six members, developing a project plan with emphasis on project planning, negotiation, budgeting, scheduling, resource allocation, project control, project auditing, and project termination.

•Initially the forecast indicated an amount of $31,419.46 over budget and 30 days behind schedule.

•Recommended a crash project which increased direct costs to reduce time significantly.

•Data Science – Successfully worked on a two 3-member projects

•Collected over 10,000 tweets for the keywords ‘Hillary’, ‘Obama’ and ‘Trump’ using the Twython module on Jupityr. Next, performed sentiment analysis to check the sentiment scores for each, indicating the respective general responses.

•Used a dataset from the National Survey on Drug use and Health, 2012, pertaining to a survey on drug abuse, to find out interesting patterns in the substance abuse of individuals and classified them based on various parameters such as age, education, income etc. Performed dependency modeling to attempt to answer the question, ‘Is Marijuana a gateway drug?’.

•Undergraduate Final Year – Cocktail approach for travel package recommendation: Created a user-friendly interface implementing a cocktail approach for travel package recommendation. Prominently depends on TAST (tourist-area-season) and TRAST (tourist-relation-area-season topic) features that depend on Gibbs algorithm to sample 100 iterations at a time. Environments used were: HTML, CSS, JavaScript, JSP, JSF, servlets, .NET, MVC, MySQL.


Certified by openSAP: Implementation of SAP S/4HANA, Implementation Made Simple for SAP SuccessFactors Solutions

Project Management and Operations Management Techniques: Critical Path Method (CPM), PERT, Gantt charts, Network diagrams, SAP, Risk Assessment, MRP/MPS, Capacity Requirement Estimations, Logistics Cost Estimations, Six Sigma, Work Breakdown Structures, Risk Response Matrices, Project Budget Reports

Marketing Analytical Tools and techniques: Linear Additive Decision Models, Positioning Map Analysis, Shareholder Value Analysis, Value Leadership Framework, MPP, MPQ

Data Mining and Statistical analysis tools: SAS, Stata, Weka, J48, IBK, Decision Tables, R, Tableau, Word Cloud, Sentiment Graph

Coding and Web Analytic Tools: Python, Pandas, NumPy, SQL, Oracle, C, C++, HTML, Java, Sentiment Analysis, Text Analysis,

Other: MS Word, Excel, PowerPoint, Visio, MS Project, SAP Business Explorer

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