Nitheesha Reddy

ac0hzf@r.postjobfree.com 413-***-**** https://in.linkedin.com/in/nitheeshareddy EDUCATION:

Northeastern University, Boston, MA Sep ’15- May ’17 Candidate for Master of Science in Information Systems GPA: 3.5/4.0 Relevant Courses: Application Engineering and Development, Data Science, Database Management and Design, Business Process Engineering, Data Warehouse and Business Intelligence, Business Analysis. Vasavi College of Engineering, Hyderabad, India Aug ’11- May ’15 Bachelor of Engineering in Computer Science & Engineering GPA: 3.6/4.0 Relevant Courses: C, C++, Java, Data Structures, SQL, Object Oriented System Design, Computer Networks, Algorithms, Artificial Intelligence, Managerial Economics, Data Security, Data Mining. TECHNICAL SKILLS:

Operating Systems : MS Windows, MAC OSX

Languages and Technologies : C, C++, Java, SQL, T-SQL, PHP, R Programming Databases : SQL Server, Oracle 11g, MySQL, PostgreSQL Data Integration Tools : Talend Data Integration, SQL Server Integration Services (SSIS) Business Intelligence Tools : Tableau, QlikSense, QlikView, PowerBI, PowerPivot, PowerMap Tools : Visual Studios, Microsoft Excel, NetBeans IDE, Github, Eclipse, Star UML, TOAD Data Modeler, Microsoft Visio, Orange, Genie, Hugin. PROFESSIONAL WORK EXPERIENCE:

Sagar Soft Private Limited. (Intern) Dec ’14- May ’15

• Developed a user interface (GUI) for the communication between Disco Jockeys (DJ’s) and a supporting back end to store and retrieve the DJ drops.

• Designed the front end using PHP and used MySQL for building the database. Office of Research and Finances – Northeastern University. Jul ’16- Apr’ 17 Finance Research Assistant

• Reviewing and approving the monthly invoices of the sub award grants and contracts in accordance with government and university policies.

• Analyze, monitor and process the research financials via Banner Finance and work with Accounts payable department to ensure that the payment is issued in a timely manner. ACADEMIC PROJECTS:

Northeastern University Sep’16- Dec’16

Prudential Life Insurance (Kaggle Problem) and Amazon Reviews Data Analysis Project

• Web Scrapping performed on various amazon reviews, Performed Sentimental Analysis in R.

• Performed Data Exploration, Data Cleaning, Segmentation, Dimensional reduction, Predictive Analytics using SVM, Decision Tree and Linear Regression and reporting of the dataset.

• Used R for Visualizations, Data Mining techniques for Linear/Logistic regression, Predictive Analytics, Cluster/Factor analysis (K-means algorithm) and decision trees.

• Machine Learning techniques such as NBC, Neural Networks, Text Mining/Natural Language Processing, Models Performance Evaluation and Comparison between the accuracies/scores. Data Integration and Business Intelligence Project May’16- Aug’16

• Integrated large dataset from various sources such as MySQL DB, Oracle DB, Microsoft SQL Server DB, PostgreSQL DB, Excel files, CSV files and text files using SSIS and Talend.

• Modeled and designed a Data Warehouse by creating a multi-dimensional model with star schema.

• Performed Source to Target mappings and error handling by creating error tables.

• Performed data discovery on the dataset and visualization by creating dashboards using QlikView, PowerPivot, Tableau and PowerBI Tools.

Patient Management System Jan’16- Apr’16

• Designed and built a database to manage complete information of a patient focusing on patient details.

• Designed the database using TOAD Data Modeler, and built it using Microsoft SQL Server 2014.

• Leveraging T-SQL for the queries for manipulation of data and PHP for the front end. Smart Pill- Internet of Things, Java Swing Application on NetBeans Sep’15- Dec’15

• Designed a user application using Java on NetBeans IDE and leveraged Java founded classes and API’s to create remote sensing capabilities and DB04 for storing the data on the backend.

• Developed this project with the intent of viewing the vital signs of the patient’s body via the email generated by the system associated to the Smart Pill.