Recent graduate from Sikkim Manipal Institute of Technology with a B.Tech in Computer Science. Passionate about data science and actively learning and applying skills to real-world projects. Excited to contribute to the intersection of technology and data-driven insights.
In this repository, I share my journey and expertise in the field of data science. As a passionate data scientist, I've worked on various projects encompassing different domains and techniques. My aim is to contribute to the data science community and collaborate on impactful projects.
Here's a list of some of the projects you'll find in this repository:
Developed a YouTube Content Scraper using the YouTube API from Google Console. Input any video URL to retrieve video and channel details, along with a list of available playlists in the channel. Built with Streamlit for a user-friendly interface.
- Python
- YouTube API
- Streamlit
The Real-time Job Scraper offers dynamic scraping, customizable searches, and an analytics dashboard. Exclusive features include data export in .csv & .json and statistical insights with tables and charts. Perfect for data enthusiasts, job seekers, and HR professionals โ a game-changer for informed decision-making.
- Python
- Web Scraping (BeautifulSoup)
- Data Analysis (Pandas)
- Data Visualization (Matplotlib, Seaborn,Ploty)
- Streamlit
Accomplished a Business Intelligence project at iNeuron, focusing on Airbnb Travel Data Analysis. Utilized Tableau and Python to explore trends, create interactive dashboards, and gain practical experience. Enhanced analytical skills and deepened understanding of data-driven decision-making in the travel industry.
- Python
- Tableau
- Data Analysis
- Data Visualization
Feel free to explore these projects in detail by visiting the respective repositories linked below:
If you have any questions or feedback, don't hesitate to reach out! ๐๐
Here are some of the key skills and technologies I'm proficient in:
- Python Development : Python(OOP, logging, package management)
- Database connections : Python MySQL and MongoDB connections
- WebScraping : BeautifulSoup, request modules.
- Frameworks : Flask & testing with Postman, Streamlit
- Data Handling and Analysis : NumPy, Pandas
- Data visualization : Matplotlib, Seaborn, Plotly
- Statistics
- Machine learning : End-to-End ML components including EDA, Feature Engineering, Model Training,Machine learning models, Evaluation, Model Pipeline
- MLOps.
If you have any questions, suggestions, or would like to collaborate on a project, feel free to reach out to me:
- Email: [email protected]
- LinkedIn: Mohammad Salman
Let's connect and explore exciting opportunities in the world of data science!