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Priyansh Kumar

@priyanshkumar

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Aspiring computer science engineer with a focus on machine learning.

India

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What I'm looking for

I am seeking opportunities that allow me to grow in machine learning and software development, with a focus on innovative projects and collaborative environments.

I am a passionate Bachelor of Technology student specializing in Computer Science Engineering at GLA University. My journey in technology has been marked by a strong interest in machine learning, where I have gained hands-on experience through various projects and internships. During my time at Coding Blocks, I explored machine learning concepts, implemented predictive models, and honed my skills in data preprocessing and feature engineering.

One of my notable projects includes a Car Price Prediction model, where I utilized a Kaggle dataset to develop a Linear Regression model that accurately estimates fair prices for pre-owned cars. This project not only enhanced my technical skills but also provided practical insights into real-world applications of machine learning. Additionally, I created a Spotify Clone to improve my front-end development skills, focusing on responsive design and user interface enhancements.

Experience

Work history, roles, and key accomplishments

Machine Learning Trainee

Coding Blocks

Jun 2024 - Present (11 months)

Gained hands-on experience with supervised and unsupervised machine learning techniques, developing and training predictive models for real-world applications. Optimized datasets through preprocessing and feature engineering, and applied evaluation techniques to improve model accuracy. Successfully built and deployed machine learning models to solve practical problems.

Machine Learning Supervised Learning Models Unsupervised Learning Models data preprocessing Model Evaluation Python

Education

Degrees, certifications, and relevant coursework

GLA University

Bachelor of Technology, Computer Science Engineering

Pursued a Bachelor of Technology in Computer Science Engineering. Focused on core computer science principles, including programming languages, data structures, and algorithms, and their engineering applications.