Rajashekar Ponnam
@rajashekarponnam
I build Python and machine-learning systems for predictive maintenance, code review, and candidate ranking.
What I'm looking for
I've built Python-based machine-learning systems for aircraft-engine predictive maintenance, intelligent code review, and AI-powered candidate ranking. My projects use practical pipelines for preprocessing, feature extraction, prediction, and multi-signal evaluation.
During my Data Science internship at YUVA, I completed six end-to-end data science tasks spanning acquisition, cleaning, EDA, clustering, supervised learning, and deep learning. I work across Python, SQL, Pandas, Scikit-learn, TensorFlow, Flask, PostgreSQL, and data visualization to turn messy data into useful software and analytical outcomes.
Experience
Work history, roles, and key accomplishments
Data Science Trainee
YUVA
Aug 2026 - Sep 2026 (1 month)
Performed data acquisition, cleaning, preprocessing, and validation using Python, Pandas, and NumPy. Conducted exploratory data analysis and applied machine learning and deep learning models.
Education
Degrees, certifications, and relevant coursework
Marri Laxman Reddy Institute of Technology and Management
Bachelor of Technology, Computer Science and Engineering (Data Science)
2022 - 2026
Grade: 8.01/10.0
Pursuing a B.Tech in Computer Science and Engineering with a focus on Data Science, achieving a CGPA of 8.01/10.0.
Prathiba Junior College
Intermediate, MPC
2020 - 2022
Grade: 77%
Completed Intermediate in MPC with a percentage of 77%.
Sri Vivekanandha High School
Secondary School Certificate, General
2019 - 2020
Grade: 10.0/10.0
Completed SSC with a CGPA of 10.0/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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