leohrithik,Hrithik Lal,Leohrithik,github

Hi there, Hrithik here 👋🏼

I am a Data Science & Machine Learning Intern at Luminar TechnoLab, Cochin , & a Bachelor of Science in Computer Science and Statistics graduate, who is passionate about Data 📊, Pythonic programming 🐍, and open source . I love to learn and contribute in any and every possible way.

📭 Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.
💬 Volunteer for the education of underrepresented and underpreviliged, because Education is very powerful.
😄 Talk to me about : Artificial Intelligence | Data Science | Machine Learning | Data Analytics
👾 Fun fact: Everything that has been or could be written/said already exists in the Library of Babel

SKILLS

• Programming: C, C++, Python, R, SQL, OOPs, Data Structure and Algorithm.

• Data Science: Data Analysis, Supervised Learning, Unsupervised Learning, Neural Networks and Deep Learning, Data Visualization, Natural Language Processing, Text Analysis, Sentiment Analysis, Mathematics (Probability, Applied Statistics, Linear Algebra).

• Libraries: NumPy, Pandas, Scikit-Learn, Seaborn, Matplotlib, TensorFlow, Keras, Snscrape.

• Visualization Tools: Tableau, Power BI

• Web Development: HTML, CSS.

• Tools: Git, Google Colab, Excel, MS PowerPoint, POSTMAN.

Hrithik Lal's Projects

computer_vision

This repository showcases various computer vision projects, including image recognition, object detection, and facial analysis. Dive into code to enhance your understanding of computer vision concepts and applications.

leohrithik

Config files for my github profile

natural_language_processing

This is an NLP repository, centralized hub housing algorithms, pre-trained models, code, datasets, and tools related to natural language processing.

stable-diffusion-pipeline

Stable Diffusion Pipelines enable seamless text-to-image conversion, effortlessly transforming textual descriptions into vibrant visuals for creative endeavors and design prototyping

titanic-survival-prediction

Survival prediction using Four Different kind of algorithms and optimizing the dataset using PCA and SMOTE

twitter_sentiment_analysis

The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.