Welcome to my personal portfolio website repository! This website serves as a showcase of my work, skills, and experiences in the field of Data Science and AI. 📊
I am a passionate and dedicated Data Science enthusiast with a strong interest in machine learning 🤖, natural language processing 📰, computer vision 📷, data engineering 🛠️, and data visualization 📈. I thrive on solving real-world problems using data-driven solutions.
- Developed an end-to-end deep learning model for brain tumor segmentation and prediction.
- Utilized Python, PyTorch, and TensorFlow to build a U-Net segmentation model.
- Collected and preprocessed brain MRI datasets for training and evaluation.
- Explored cutting-edge libraries like SegFormers for model development.
- Worked on image preprocessing, data augmentation, and model deployment.
- Conducted an end-to-end machine learning project analyzing student performance data.
- Utilized various machine learning algorithms to extract insights from the dataset.
- Performed data cleaning, feature engineering, and data visualization.
- Implemented predictive models to understand factors affecting student performance.
- As a Data Science Intern at Dotlas, collected restaurant and retail data from various websites.
- Developed data collection scripts using the Swarm framework.
- Created data pipelines in Databricks for automated data collection.
- Utilized the Honeycomb framework to parse and process the collected data.
- Conducted SQL queries and data visualization on Databricks for insights.
- Python 🐍
- PyTorch 🧠
- TensorFlow 🤖
- Data Cleaning & Preprocessing 🧹
- Data Augmentation 📸
- SQL 📂
- Data Visualization 📊
- Machine Learning 🧾
Feel free to connect with me through the following channels:
- Email: jkanishkha0305@gmail.com ✉️
- LinkedIn: LinkedIn Profile 🔗
- Personal Website: Portfolio Website 💼
This project is open-source and available under the MIT License. 📝
Thank you for visiting my portfolio website and exploring my work! 🙏