Data Software Developer

Prathvi Narasimha Kanchan

adhnk6@r.postjobfree.com 682-***-**** linkedin.com/in/prathvikanchan92 EDUCATION

Master of Science in Information Systems GPA: 4.0 Aug 2019 – Present University of Texas at Arlington, Arlington, TX

(Anticipated graduation date May 2021)

Bachelor of Engineering – Electronics & Communication GPA: 3.43 May 2014 NMAM Institute of Technology, KA, India

TECHNICAL SKILLS

Programming Languages: Java (Spring-Hibernate framework), Python, Machine Learning (SciKit-Learn, Pandas, NumPy, Matplotlib), HTML, CSS, JavaScript, Servlet, Linux, JSON, Data Structures and Algorithms, SAS, RESTful webservices, R, Hadoop(MapReduce)

Database: SQL, NoSQL, Teradata, AWS Databases (DynamoDB) Tools: Tableau, SAS Enterprise Miner, Jupyter Notebook, Eclipse IDE, Visual Studio, SOAP UI, Toad for Oracle, MySQL workbench, Process Designer, GitHub, HP ALM, VSTS, Tomcat, IBM Websphere Application Server, Jenkins, PuTTy, WinSCP, Power BI, Azure, Ucinet, MS Project, AWS Cloud, R Studio RELEVANT COURSEWORK: Advanced Analytics, Data Mining, Python, Data Science, Database Management System, Analysis and Design, Cloud Computing Theory and Practices, Project Management, Web and Social Analytics WORK EXPERIENCE

Graduate Research Assistant, UTA Libraries, Arlington, Texas Present

• Cleaned and preprocessed survey data.

• Analyzed and visualized data using Excel and SPSS and data visualization software such as Tableau Public.

• Created web-based access to the analyzed/visualized data, and other duties as assigned.

• Provided editing, troubleshooting, and other technical support for content experts as needed

• Applied critical thinking skills to identify solutions to publish challenges and effectively communicated with Pressbooks staff to report bugs, request new features, and communicate updates with other team members

• Offered consultations/workshops as needed in support of OER creation and consolidated data from multiple surveys to create graphs to use it for future workshops.

• Collaborated to implement formal processes and communication channels to improve communication and increase consistency throughout the OER production lifecycle. Technology Analyst, Infosys Limited, Mangalore, India June 2014 – June 2019 Worked as a software developer for nine J2EE based development and enhancement projects for one of the Big Four

• Followed Agile methodology to develop multiple applications in Java using Spring Hibernate framework to enable PwC clients to do transactions via web UI.

• Estimated the project delivery timelines after interacting and understanding the client requirements from onsite lead and client in all the projects.

• Coded RESTful webservices to generate JSON responses which was used to transfer data with different layers like IIB, SAP and finally mapped to UI for display. Was actively involved in deployment activities.

• Used Junit framework to perform unit testing on core to ensure that the application runs as per the requirements.

• Self-learned required latest technologies in short span of time in order to accommodate enhancements in web application in Google project.

• Worked on various enhancement projects which involved coding in servlets, Javascript, HTML, CSS.

• Trained the new recruits technically, assisted them in understanding the application requirements and implement the functionality using a flexible design for the agile based project.

• To take up the role of Offshore Business Analyst for one of the projects. Also involved in both UI implementation and testing the application functionality.

• Worked across complete software development life cycle by coordinating requirement analysis, technical design, coding, testing and documentation.

• Worked as database developer by creating the tables, store procedure, fine tuning the queries for report generation using Power BI

ACADEMIC PROJECTS (https://github.com/prathvikanchan92)

• Google App Revenue Prediction

Used data mining models such as linear regression, logistic regression, and decision tree to predict the revenue of new google store app based on factors which developer can control before its deployment. Used Tableau for data visualization and SAS enterprise miner to predict the significance of factors such as app size, category, number of installs, etc.

• Web Data Scraping using Python from CNN Money’s Market Movers Scrapped data from CNN Money’s Market Movers using Python

• Telco Customer Churn Reduction Analysis

Used the dataset from Kaggle to analyze KPIs contributing to customer churn using logistic regression, decision tree and random forest. Used Tableau for data visualization and python sci-kit learn library for models.

• Twitter data extraction using R

Extracted covid-19 related tweets by connecting to twitter API using R

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