Data Machine

Asia Shazmi Sayyad

*** ******* ****, ***# *** Email: ***********@*****.***

Irving, Texas- 75063 Ph.: +1-901-***-****

Summary of Qualification:

• Expertise in extracting, transforming, validating and providing valuable insights through data from various database applications

• Proficient in statistical data analysis, data mining, machine learning, customer segmentation and text mining techniques using analytical tools like Python, R, SQL, SAS, Tableau and Spotfire

• Expertise in developing windows applications, web applications in Microsoft Visual Studio using .NET

• Good problem solving, data visualization, documentation and presentation skills Education:

Bachelor of Technology, Computer Sciences, Jawaharlal Technological University June 2014 GPA: 3.5

Master of Sciences, Management Information Systems, University of Memphis May 2020 With Certifications in Data Analytics for Technology & Data Analytics for Management GPA: 3.7

Technical Skills:

Technologies: C, C#, SQL, PL/SQL, NoSQL, R, Python, Java Databases: SAS, SQL Server, MySQL, Teradata

Web Technologies: ASP.Net, ADO.Net, HTML5, CSS

Tools: MS Visual Studio, SQL Server management studio, ServiceNow, Microsoft Office, Tableau, SAS Enterprise Guide, SAS Enterprise Miner, R-Studio, Google Colab, MS Project, Google Analytics, WordPress, Jupyter Notebook Others: MS Excel, Software Testing, Use Case Modelling, Statistics, MS Visio, AI/ML, Spotfire Work experience:

Graduate Assistant at University of Memphis Jan 2019- May 2020

• Organizing commencement events including student convocations, academic special events

• Obtaining University data (Banner) to assist commencement office and students with key information

• Maintaining University’s IT Service Desk web pages and updating required URLs using Site-Improve Associate Professional (Product Delivery) at DXC Technology (Formerly CSC) Feb 2015- Apr 2017

• Developed, maintained, deployed and supported Identity and Access Management applications for major IT infrastructure management client using C#, HTML5, CSS and MySQL in ASP .Net environment.

• Creating, updating user’s information and report generation using MySQL, MS Excel for various purposes.

• Supported the applications for all the ad-hoc fixes and requests obtained from stakeholders to ensure the applications worked seamlessly using ServiceNow.

Academic projects and relevant course work

Course: Business Machine Learning -2 Spring 2019

• Home Credit - Default Risk Prediction

Examined, aggregated, analyzed and built prediction models to understand and predict the probability of identifying a “Credit Defaulter” for Home Credit, a lending company. Cleaned data, created detailed visualizations in TABLEAU to understand the data and used various hyper parameter tuning techniques using Caret package in R to build more accurate models Course: Business Machine Learning -1 Fall 2018

• Airbnb Price Prediction Using Machine Learning Models Built Machine Learning models to analyze the pricing patterns of the Airbnb listings in 6 Major cities in US considering various housing, host/owner and geographical attributes. Studied the data extensively through visualizations and applied machine learning techniques to learn, understand and provide key insights regarding significant attributes related to pricing of these Airbnb listings Course: Cryptography and Network Security March 2014

• Security in cloud using AES algorithm- applied to online tendering Implemented AES algorithm for securing the data stored in cloud. Built an application in which tenders were securely posted by users choosing location and tender category. Bids that were made on tenders, were maintained by algorithm through which, secured key is automatically generated. Data correctness is ensured by using a Third-Party auditor. This also included a front-end user interface which was developed using C#, .NET

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