Niveditha Reddy
@nivedithareddy
Entry-level AI/ML engineer skilled in Python and data analysis.
What I'm looking for
I am a recent Computer Science graduate focused on artificial intelligence and machine learning, with hands-on experience building intelligent systems and data-driven models.
I have developed projects ranging from an automated hydroponic IoT system to medical imaging models, applying Python, TensorFlow, OpenCV, and embedded systems to deliver results.
My academic record includes a strong GPA and practical coursework; I complemented that with certifications in AI foundations and Python to solidify my technical foundation.
I am collaborative, adaptable, and eager to contribute to an entry-level AI/ML role where I can apply my skills in model development, data analysis, and system integration while continuing to learn.
Experience
Work history, roles, and key accomplishments
AI/ML Project Developer
Niveditha Pannala
Designed an automated hydroponic IoT system using Raspberry Pi to monitor environment and automate nutrient delivery and lighting, integrating sensors and messaging APIs to optimize plant growth.
Machine Learning Intern
Niveditha Pannala
Built ML and deep learning projects including a CNN for lung cancer diagnosis and a regression-based admission prediction system, improving diagnostic accuracy and model reliability through data preprocessing and feature engineering.
Education
Degrees, certifications, and relevant coursework
Malla Reddy University
Bachelor of Technology, Computer Science and Engineering
2021 -
Grade: 8.92 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a 8.92 CGPA, focusing on AI/ML, data analysis, and software development.
Impulse Junior College
Intermediate, MPC (Mathematics, Physics, Chemistry)
2019 - 2021
Grade: 93.6%
Completed Intermediate (MPC) with a 93.6% score, emphasizing mathematics, physics, and chemistry preparation for engineering studies.
Indur High School
SSC, Secondary Education
2018 - 2019
Grade: 9.7 GPA
Completed Secondary School Certificate with a 9.7 GPA, providing foundational education prior to higher secondary and tertiary studies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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