👋 Greetings! Khushi here,

I am a final-year undergraduate student and an ardent enthusiast of Machine Learning, Data Science, and Artificial Intelligence. 💻🔬

My research interests lie in NLP and Deep Learning. 📚🧠 With a solid programming and analytical foundation, I leverage cutting-edge tools to tackle complex problems

🚀🔍 Driven by excellence, I thrive in collaborative environments fostering mutual learning. 🤝🌟 Let’s embark on an exciting journey where creativity meets technical prowess, redefining boundaries in AI. 💪🚀

Technical Proficiencies

In terms of languages, I’m proficient in Python, C/C++, and SQL.

For Natural Language Processing (NLP), I have experience with NLTK, LSTM, Transformers, and Named Entity Recognition.

In the realm of computer vision, I’m skilled in using OpenCV, Tensorflow, PyTorch, YOLO for object detection, and MediaPipe.

When it comes to data analytics and science, I’m well-versed in statistics, NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, and Plotly.

I also have experience with databases and other tools such as Git, Firebase, MySQL, PostGreSQL, and various web technologies including Flask and Django.

Work Experience

Data Science Intern at BroaderAI IT Solutions | Jul ‘23 - May ‘24

During my tenure, I spearheaded website backend development and transitioned to machine learning projects using OpenCV. This included initiatives such as document scanning, mango leaf disease detection, and object recognition. I managed efficient data extraction using pdfplumber, contributing to a text-to-speech conversion project. Demonstrated expertise in computer vision by utilizing YOLO and MediaPipe, significantly impacting innovative project development.

Academic Research on Cross-Cultural Multilingual Sarcasm Analysis in Indian Dialects | Sep ‘23 - Present

Collaborating with fellow researcher Raval Meet and under the guidance of Dr. Mitali Desai, I’m actively involved in refining and optimizing the implementation of natural language processing (NLP) models and techniques. Our goal is to identify and analyze sarcastic language in various Indian regional dialects, aiming for increased accuracy and robustness in multilingual sarcasm detection.

Projects

Malaria Cell Classifier

Utilized TensorFlow, Keras, and Streamlit to develop a user-friendly UI for cell image analysis, distinguishing between parasitized and uninfected cells. [Source Code]

Chatbot

Developed a Flask-based web application that extracts and processes text from PDFs, utilizing NLTK and scikit-learn to enable question answering via TF-IDF and cosine similarity.

[Source Code]

Data Scraping

Developed datasets using BeautifulSoup for web scraping, demonstrating proficiency in data curation. Uploaded datasets on Kaggle, available at [Datasets Link].

Real-Time Hand Gesture Recognition

Created a real-time hand gesture recognition system using Python, OpenCV, and Mediapipe to interpret multiple gestures for interactive applications.

[Source Code]

Blog Posts

Explore my insightful and engaging blog posts on Medium, where I delve into various topics with clarity and depth. From technical tutorials to thought-provoking insights, each post reflects my passion for writing and my commitment to delivering valuable content to readers. Dive into the world of technology, data science, and more through my captivating narratives. You can check out my blog posts on Medium here.

ACHIEVEMENTS

• Kaggle 3X Expert (Datasets, Notebooks, Discussions): Recognized for exceptional skills in creating insightful notebooks, sourcing and preprocessing valuable datasets, and engaging in meaningful discussions to support the Kaggle community.

• College-level Hackathon winner: Winner of a college-level hackathon, showcasing innovative problem-solving and teamwork skills in a competitive environment.

Connect with Me

Thank you for exploring my portfolio! If you would like to download my resume, you can do so here. Feel free to reach out to me at khushigajjar456@gmail.com for any inquiries or collaboration opportunities.

You can also connect with me on LinkedIn or GitHub for more updates and insights.

I’m always looking to grow and improve, so if you have any feedback on my portfolio or would like to share your thoughts, I’d love to hear from you!

Remember to check back regularly for updates on new projects, blog posts, and achievements.