I am pursuing a Master's in Computer Science(Data Science Concentration) at the University of North Carolina Charlotte. I will be graduating in May 2020, seeking Full-time opportunities.
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Experience
Graduate Research Assistant | North Carolina Department of Transportation | University of North Carolina, Charlotte, United States I Sep 2019 – Feb 2020
Responsibilities:
• Developed Wetland functional assessment tool using ArcMap and Python programming.
• Developed an automated tool using ArcGIS to find the stream ordering for the given DEM and flowline.
• Worked with the North Carolina Department of Transportation(NCDOT) to make improvements to the wetland prediction model.
• Developed an automation tool for generating functional rating to the predicted wetlands based on the Axiom rules.
• Worked on selective drainage methods to extract continuous Surface flow from 1-Meter Lidar- Derived Digital Elevation Data.
• Tools and Technologies Used: Python, ArcMap, ArcPy, PyCharm, Atom.
Python Developer | Tata Consultancy Services, Hyderabad, India Oct 2017 - Dec 2018
Responsibilities:
• Used Python Scripts to parse XML, JSON documents and load data into MySQL database by using MySQL Connector.
• Developed complex SQL queries for testing the database functionally.
• Developed Views and Templates with Django view, controller, template language to create a user- friendly website interface.
• Configured the Django admin site, dashboard and created a custom Django dashboard for end-users with a custom look and feel.
• Created User interface using JavaScript, HTML, CSS and Angular JS.
• Tested python programs using python unit library and used Jira for bug tracking.
• Participated in Agile(Scrum Methodology) meetings for daily updates and further development.
• Tools and Technologies Used: Python, MySQL, Django, JavaScript, CSS, Angular JS, JIRA
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Projects
Online Quiz System
• Built an online quiz system using Django which will be beneficial for users to practice tests in an efficient and easy way.
• Using this quiz system, users can make and take the quiz.
• Tools and Technologies: Python, Django, PostgreSQL, Pandas, PyCharm.
Sports Meet Application
• Built a sports meet application using NodeJS.
• Using this application, users can register and can add any new sports events so that interested users can take apart.
• Tools and Technologies: NodeJS, MongoDB, Express, Mongoose, JavaScript, HTML, CSS.
Student Evaluation – Sentiment Analysis: Weblink
• A survey has been conducted for various courses and students’ comments have been collected.
• Data is preprocessed and emotional labeling of comments is done.
• 92% accuracy is achieved through the SVM, LSTM model.
• Tools and Technologies: Python, Machine Learning, Weka, PyCharm, NLTK