KIRTI KAUR SIDANA
Master of Science in Data Analytics – George Mason University, Fairfax, VA (Aug 2017-Dec 2018) Related Coursework – Theory of Data Mining, Practical Optimization, Analytics and Decision Analysis, Applied Statistics and Visualization for Analytics, Database Systems, Artificial Intelligence, Advanced Database Management, Big Data Essentials. (GPA-3.37/4.0)
Master of Computer Applications – GGSIPU, New Delhi, India (Aug 2012- July 2015) Related Coursework – Software Engineering, Theory of Computation, Data Mining and Warehousing, Design and Analysis of Algorithms, Software Testing, And Discrete Mathematics. (GPA-3.8/4.0)
Bachelor of Computer Applications- GGSIPU, New Delhi, India (Aug 2009- July 2012) Related Coursework – Data Structures, Operating Systems, Computer Network Security, Management
Information Systems, Internet Programming, Java, Database Management System. (GPA-3.7/4.0)
Programming Languages: C++, Java, Spark, SQL, Postgre, Python, R
Web Development: HTML, Java Script, CSS, XML
Tools : Tableau, Weka, MS Excel, MongoDB, PeopleSoft, AWS Data Sources : Oracle, SQL Server, MySQL, Hive
Software Intern, BirlaSoft, Noida, India (June 2014-August 2014) Worked on PeopleSoft technology and developed a project “Online Exam Scheduling Portal”.
The project involved in-depth knowledge of PeopleTools, SQR for PeopleSoft and SQL.
Computer Science Teacher, K.R Mangalam World School, New Delhi, India (April 2015-Oct 2016)
• Taught programming languages such as C, C++, Java, SQL, concepts of data and file handling, data structures like stack, queues and linked list and computer networking to grade 11 and 12 students.
• Managed software for school that stores student details, grades and print their performance report.
• Mentored team to impart basic computer skills and programming languages.
Commercial Real Estate Forecast for Principal Financial (June 2018-Aug 2018)
Used Agile project management tools like YouTrack and Jira as a Scrum Master, approaches like SCQA and modelling techniques like Ordinary Least Square, Generalized Least Square, Panel Linear Model, Hierarchical Time Series, Linear Mixed Effects, and Vector Auto Regressive etc. to predict the space characteristics of interest for apartments and offices in Washington DC submarkets.
Using Hubness to Estimate Dimensionality (Aug 2017-Dec 2017)
Analyzed synthetic and real datasets to investigate how dimensionality affects the hubness distribution.
Second Date Prediction Model for Speed Dating (June 2017-July 2017)
Used different models like Linear Regression, KNN, Decision Tree Classification and Random Forest to predict likelihood of a second date based on attribute ratings.
Online Exam Scheduling Portal (June 2014-Aug 2014)
Used ERP software PeopleSoft to develop a system so that students can select the course, date, place of their different competitive exams and generate their hall ticket”.
Dissertation: Parallel Processing of Cloud Data using MapReduce (Dec 2014-May 2014)
I characterized the MapReduce framework and discussed its inherent pros and cons. I then introduced its optimization strategies and discussed the open issues and challenges raised on parallel data analysis with MapReduce.
Dissertation: Aneka: A software platform for .NET based cloud computing (Aug 2013-Dec 2013)
Analyzed and collected features that make Aneka a platform as a service solution in the cloud computing model.