Pise Sravani
@pisesravani
I'm a machine learning intern building predictive and deep learning applications.
What I'm looking for
I've built machine learning and deep learning projects through internships at Edunet Foundation and Microsoft Coincent, including speech emotion recognition using LSTM models and diabetes prediction using supervised learning.
I'm pursuing a Bachelor of Technology at GITAM University and have also developed cucumber leaf disease detection, lead-scoring models, and a full-stack MERN event planning application. I enjoy solving real-world challenges with scalable, technology-driven applications and continuous learning.
Experience
Work history, roles, and key accomplishments
AI Intern
Edunet Foundation
May 2025 - Jun 2025 (1 month)
Developed a Speech Emotion Recognition project using LSTM-based deep learning, extracting MFCC features from audio inputs to predict emotional states such as happiness, anger, sadness, and neutrality.
Education
Degrees, certifications, and relevant coursework
GITAM University
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: CGPA: 8.42
Pursuing a Bachelor of Technology degree with a focus on computer science and engineering.
Narayana Junior College
Pre-University Education, Science
2020 - 2022
Grade: Percentage: 96%
Completed pre-university education with a focus on science and mathematics.
Prasad School
Board of Secondary Education, General Education
2019 - 2020
Grade: Percentage: 93%
Completed secondary education with a strong academic record.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/PiseSravaniJob categories
Skills
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