VANI TUMMALA

As a graduate student in Master's in Information Systems, I have acquired diverse concepts and technologies within the field. Through targeted coursework, I have delved into concepts including database management, software development, and data analytics. My ability to apply theoretical concepts to real-world circumstances has been improved by working on different kinds of projects and internships. I have strong communication and teamwork skills, which are key to collaborating with diverse teams and stakeholders. I am committed to continuous learning, embracing challenges for professional development, and positively impacting the field.

• Data Analytics
• Web systems And Development
• Enterprise Database Management Systems
• System Analysis And Design
• Web Mining
• Information Systems Principles
• User Experience And Design
• Organisational behavior in Technical Organisations
• Business process Innovation
• Computer Networking

Application On Django Web System (01/2023 - 04/2023)

Developed a web application called RecipeBox using Django that allows user to create, share, and browse recipes. Users can create an account, login, and then create and save their recipes. They can also browse and search for recipes created by other users.

• Utilized Django templates and frontend technologies to create an intuitive and responsive user interface for improved user experience.

• Implemented user authentication and authorization mechanisms to ensure secure access and data privacy for different user roles.

Application on designing and implementing the user interface by using Figma (01/2023 - 04/2023)

Developed an application to streamline vehicle maintenance and management

• Contributed in designing and implementing the user interface by using Figma, focusing on intuitive navigation and seamless user experience for both car owners and mechanics.

• Developed functional requirements, including the ability to search for mechanics based on location and services needed, view mechanic profiles and service history, schedule appointments, and receive service quotes.

Stock price prediction using Neural Networks (04/2022 - 06/2022)

Developed a robust neural network model for predicting future stock prices by utilizing historical stock price data.

● This model uses the LSTM algorithm to identify the patterns in the data and the KNN algorithm to select relevant features from the historical data such as closing price, technical indicators, volume.

● This model analyses large datasets and provides insights to enhance predictive accuracy and drive informed decision-making in the financial sector.

• Bloomberg Market Concepts
• IS/IT Governance, University of Minnesota,Coursera
• What is Data Science, IBM, Coursera