Harikrishnan

I'm a

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About

Harikrishnan Gopal

I am Harikrishnan Gopal, a dedicated Full Stack Developer and ML Enthusiast, pursuing B.Tech in Computer Engineering with honors in Data Science and Analytics. I specialize in creating impactful solutions through Web Development, Machine Learning, and Data Visualization, combining innovation with exceptional user experience to solve real-world problems.

Birthday: 04 November 2004
Phone: +91 9372296398

City: Mumbai, India
Email: hk151109@gmail.com

Interests

Full Stack Development

Software Engineering

Data Structures & Algorithms

Machine Learning

Data Visualization

Natural Language Processing

Image Processing

Neural Networks

Education

KJ Somaiya College Of Engineering

B.Tech in Computer Engineering
Honours in Data Science and Analytics

2022 - 2026

Schooling

Higher Secondary Certificate (HSC), Science (PCM), Junior College
Secondary School Certificate (10th Grade, CBSE)

2010 - 2022

Experience

SwDC, KJ Somaiya College Of Engineering

June 2024 - Present

Full Stack web Developer Intern

Designed and developed dynamic websites leveraging technologies such as HTML, CSS, JavaScript, PHP, and the MERN stack to streamline college administration processes.
Integrated advanced security protocols and user authentication systems to enhance website safety and data protection.
Engineered scalable and high-performance web solutions to ensure reliability under varying loads.

Prodigy InfoTech

November 2024 - December 2024

Machine Learning Intern

Collaborated on real-world machine learning projects, applying data-driven approaches to solve complex problems across diverse domains.
Implemented a linear regression model to predict house prices based on square footage and the number of bedrooms/bathrooms, achieving accurate and interpretable results.
Developed a K-means clustering algorithm to segment retail customers based on purchase behavior, enabling actionable insights for customer targeting strategies.
Created a Support Vector Machine (SVM) model to classify images of cats and dogs, achieving high accuracy through rigorous data preprocessing and model optimization.
Designed a convolutional neural network (CNN) model to identify food items from images and estimate calorie content, combining image recognition and regression techniques.