Hello, I' m

Rishav

Machine Learning Student

About Me

I'm currently a third-year CSE B.Tech student, and I'm really excited about the field of machine learning. My journey into this fascinating domain started when I took part in a hackathon organized by the SIAM Club, and that's when my interest in machine learning was sparked.

Ever since then, I've been actively working on improving my skills and knowledge in machine learning. I believe in the importance of continuous learning and strive to stay updated with the latest advancements in the field.

Through this portfolio website, I want to showcase my projects, skills, and growth in machine learning. I'm eager to use my knowledge and expertise to solve real-world problems and collaborate with like-minded individuals and organizations. Please feel free to explore my work and reach out to me for any inquiries, collaborations, or opportunities.

Skills

Education

Awards & Achievements

Python
Java
ChatGPT
Machine Learning
- Deep Learning

Jaypee University of Information Technology, Solan

[2021-2025]
Pursuing B.Tech in CSE
Aklank Public School, Kota

[2020-2021]
12^th
Army Public School, Sri Ganganagar

[2018-2019]
10^th

Winner in Mathemagical Hacks Hackathon

Organized by SIAM Club, developed a proficient machine learning model for sentiment analysis of tweets related to a specific topic, classifying them as positive, negative, or neutral.
Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms

Projects

Twitter-Sentiment-Analysis

Implemented machine learning-based sentiment analysis, categorizing text data into positive, negative, or neutral sentiments, showcasing proficiency in sentiment classification and data-driven insights.

Movie-Recommendation-System

The NLP-based movie recommender system uses special techniques to suggest movies that you might like. It looks at the movie you've already chosen and gives you personalized recommendations based on them.

Chat-Bot

This Python chat-bot, assists users in exploring career highlights and projects by utilizing NLTK for natural language processing, TF-IDF vectorization, and cosine similarity for intelligent responses.

Blogs

17 July 2023 / Blog Post A Comprehensive Guide to Data Preprocessing and Cleaning Techniques

Data forms the backbone of any successful machine learning project. However, real-world data is often messy, inconsistent, and incomplete. To ensure the accuracy and reliability of our machine learning models, it is crucial to apply data preprocessing and cleaning techniques. In this blog, we will explore the importance of data preprocessing and walk through essential techniques every machine learning enthusiast should know.

Date / Blog Post Comming Soon