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Prem PatilPP
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Prem Patil

@prempatil1

B.Tech Computer Engineering student focused on Machine Learning, Generative AI, and data-driven solutions.

India
Message

What I'm looking for

I seek internships or junior roles where I can apply and expand my skills in ML, Generative AI, NLP, and data analytics, contribute to impactful projects, and grow under mentorship in a collaborative, learning-focused environment.

I am a detail-oriented B.Tech Computer Engineering student with hands-on experience in Generative AI, Machine Learning, NLP, and data analytics. I have developed deep learning projects like ConservationAI and built end-to-end ML and web solutions during multiple internships that improved model performance and delivered actionable insights.

I excel in Python development, data preprocessing, model engineering, and creating interactive visualizations using Power BI and web interfaces. I am passionate about applying AI and data skills to solve real-world problems and continuously optimize models and systems for higher precision and efficiency.

Experience

Work history, roles, and key accomplishments

OI

Data Analytics Intern

Oasis Infobyte

Dec 2024 - Feb 2025 (2 months)

Performed advanced data cleaning and exploratory data analysis using Python and Power BI, producing interactive visualizations and automated reports to surface business insights.

SI

Web Developer Trainee

Skill India

Nov 2024 - Dec 2024 (1 month)

Developed responsive web pages using HTML, CSS, and JavaScript and applied UI design principles to improve user experience.

Education

Degrees, certifications, and relevant coursework

TE

T.M.E. Society's J.T. Mahajan College of Engineering

Bachelor of Technology, Computer Engineering

2022 -

Grade: 6.88 CGPA

Pursuing B.Tech in Computer Engineering with coursework and projects in AI, machine learning, and deep learning; current CGPA 6.88.

NC

N. G. Patil Junior College

Higher Secondary Certificate, Science

2020 - 2022

Grade: 79.98%

Completed HSC in Science with emphasis on mathematics and science subjects, achieving 79.98% aggregate.

Tech stack

Software and tools used professionally

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