Parag Jadhav - Machine Learning Intern - AICTE | Himalayas
Parag JadhavPJ
Open to opportunities

Parag Jadhav

@paragjadhav

Aspiring AI and Machine Learning engineer with hands-on project experience.

India
Message

What I'm looking for

I am looking for a collaborative environment where I can apply my AI skills and grow professionally.

I'm currently pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning at PES Modern College of Engineering, Pune, where I have maintained a CGPA of 8.3. My academic journey has been complemented by practical experience through virtual internships and projects that have honed my skills in data analysis, machine learning, and web development.

During my recent internship, I developed a house price prediction model using regression techniques, significantly improving estimation accuracy. I also applied Natural Language Processing for text analysis and classification tasks, showcasing my ability to handle complex datasets and optimize model performance. My projects, such as the Intelligent Document Processor and Emotion Music Player, reflect my passion for leveraging technology to create innovative solutions that enhance user experience.

In addition to my technical skills, I have actively participated in hackathons, securing top positions and collaborating with peers to develop cutting-edge applications. I am eager to bring my expertise in AI and machine learning to a dynamic team where I can contribute to impactful projects and continue my professional growth.

Experience

Work history, roles, and key accomplishments

AI

Machine Learning Intern

AICTE

Sep 2023 - Present (1 year 10 months)

Analyzed various datasets, performed data cleaning and preprocessing to ensure high-quality data. Developed a house price prediction model using regression techniques, improving estimation accuracy.

Education

Degrees, certifications, and relevant coursework

PE

PES Modern College of Engineering

Bachelor of Engineering, Artificial Intelligence and Machine Learning Engineering

Grade: 8.3 CGPA

Currently pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning Engineering. Achieved a CGPA of 8.3, demonstrating strong academic performance in core subjects.

Tech stack

Software and tools used professionally

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