Sai Sravani Datla

Proficient in adapting to fast-paced environments, demonstrating an exceptional ability to handle last-minute changes while maintaining high-quality work. Recognized for consistently delivering results under pressure, showcasing strong motivation and a commitment to tackling new challenges. Core competencies include adaptability, a robust work ethic, and exceptional interpersonal skills. Proven ability to master new skills rapidly and work effectively without supervision.

• Art and Creativity: Enjoy painting and creating music, which enhance my ability to think creatively and solve problems innovatively.
• Community Involvement: Regularly volunteer in community initiatives, fostering teamwork and empathy.
• Technology and Learning: Passionate about exploring emerging technologies and cybersecurity trends.
• Reading: Stay informed on industry developments and enjoy literature that inspires innovative thinking.

• Volunteered in a Design Thinking Workshop, fostering creative problem-solving and innovation.
• Served as Student Coordinator for Women Welfare and Sexual Harassment Eradication Cell, demonstrating leadership, advocacy, and community-building efforts.

• Programming Essentials in Python-Cisco
• Python and Flask Bootcamp : Create websites using Flask-Udemy
• DevOps Foundation Certification-Infosys Springboard
• CCNAv7: Switching, Routing, and Wireless Essentials-Cisco
• CCNAv7: Enterprise Networking, Security, and Automation-Cisco
• CCNAv7: Introduction to Networks-Cisco
• Virtual Cybersecurity Internship-AICTE

Food Classification and Calorie Measurement Using CNN
12/2022 – 04/2023

• Developed a calorie measurement system utilizing image classification techniques to identify food items.
• Employed Convolutional Neural Networks (CNN) to accurately classify images of fruits and vegetables.
• Integrated Support Vector Machine (SVM) algorithms for enhanced classification accuracy.
• Designed a feature to display nutritional values, including calories, fats, fiber, and protein, based on the identified food item.
• Conducted rigorous testing to optimize model performance and accuracy, resulting in a user-friendly and efficient system.
• Project outcomes demonstrated practical applications for fitness tracking and dietary monitoring.

Social Company Blogspot
03/2022 – 12/2022

• Created a fully functional blogging platform using the Flask framework, designed to enable users to post and manage content seamlessly.
• Implemented features such as user authentication, content categorization, and dynamic blog post rendering.
• Focused on creating a responsive UI for a better user experience by integrating HTML, CSS, and Bootstrap.
• Built and managed a relational database using SQLite, ensuring efficient data storage and retrieval.
• Collaborated in a team environment, employing Git for version control and managing workflow.
• Enhanced understanding of web development and application deployment through end-to-end project execution.