Dhanraj Verma

-- Data Scientist

I am an AI enthusiast passionate about leveraging artificial intelligence to solve real-world challenges.

About Me.

Hi, I am Dhanraj Verma, a passionate Data Science student dedicated to solving complex problems and deriving actionable insights through data. With expertise in Python, SQL, and popular data science libraries, I specialize in building predictive models, visualizing trends, and uncovering patterns to support data-driven decisions. My experience includes hands-on projects in machine learning, classification, and data analysis, where I have demonstrated a strong ability to turn raw data into meaningful results. I am particularly interested in leveraging data science to innovate and optimize real-world applications. As a committed learner, I actively explore emerging fields like deep learning and AI. I am enthusiastic about collaborating on impactful projects and contributing to the advancement of data science with my analytical and creative problem-solving skills.

Skills.

Machine Learning

Expertise in building predictive models, classification, and regression algorithms.

Deep Learning

Proficient in neural networks, CNNs, RNNs, and frameworks like TensorFlow and PyTorch.

Natural Language Processing (NLP)

Experience in text preprocessing, sentiment analysis, and transformer models.

Mathematics

Strong foundation in linear algebra, calculus, and probability for data science.

Python Programming

I have strong proficiency in Python, specializing in data analysis, machine learning, and automation.

Data Visualization

Skilled in creating interactive visualizations using Matplotlib, Seaborn, and Plotly.

Web Scraping

Proficient in extracting data from websites using BeautifulSoup and Scrapy.

MLOps

Experience in deploying and managing machine learning models in production environments.

Projects.

Image 1

Sign Language Detection

View on GitHub
Image 2

Capstone Real-Estate Project

View on GitHub
Image 3

Fruits Classification

View on GitHub

More projects on the way, very soon!

Resources.

Machine Learning Notes
Deep Learning Notes
Mathematics Notes
SQL Notes
E-Books Notes

Blogs.

25 October 2024 | Deep Learning

Getting started with Neural Network

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25 October 2024 | Deep Learning

MNIST Data Classification

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