Welcome to my GitHub profile! I'm currently a Data Science Mastery Program (DSMP) Fellow at Data Seekho, where I'm developing my skills in data science, machine learning, and artificial intelligence. I am passionate about applying data-driven solutions to real-world problems and continuously expanding my knowledge in the field.
- π Education: Bachelorβs in Information Technology from Institute Southern Punjab | Data Science Mastery Program at Data Seekho
- π» Skills: Python, SQL, Machine Learning, Data Visualization, Pandas, NumPy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn
- π± Currently Learning: Deep Learning, NLP, and Advanced Data Science techniques
- π€ Looking to collaborate on: Open-source data science projects and machine learning competitions
- π Achievements: Completed multiple data science projects, participated in [Competitions/Challenges] on Kaggle
- π Research Interests: Data Science, AI Ethics, Predictive Modeling, Generative AI
- π« How to reach me: sobianoor087@gmail.com | Sobia Noor
Here are some of the key projects Iβve been working on during my learning journey in data science. Feel free to explore the code, read the documentation, and reach out if you have any questions!
- Description: Brief overview of the project and its purpose. For example: "A customer segmentation project using K-Means clustering to group customers based on purchasing behavior."
- Technologies Used: Python, Pandas, Scikit-Learn, Matplotlib
- Key Steps: Data Cleaning, Exploratory Data Analysis (EDA), Model Training, and Evaluation
- Results: Found distinct customer segments that will help drive targeted marketing strategies.
- π Link to Project Repository
- Description: A brief summary. For example: "A predictive model to forecast house prices based on key features like location, area, and amenities using Linear Regression."
- Technologies Used: Python, Pandas, NumPy, Scikit-Learn, Seaborn
- Key Steps: Data Preprocessing, Feature Engineering, Model Training
- Results: Achieved a high RΒ² score, indicating accurate predictions.
- π Link to Project Repository
- Description: Example: "A web scraping project to collect and analyze product reviews from e-commerce websites using BeautifulSoup and Pandas."
- Technologies Used: Python, BeautifulSoup, Pandas
- Key Steps: Web Scraping, Data Collection, Sentiment Analysis
- Results: Successfully extracted and analyzed over 1,000 reviews for sentiment trends.
- π Link to Project Repository
Here are the technologies and tools that I use most frequently. My expertise is constantly evolving as I explore new areas of data science and machine learning.
- Languages: Python, SQL
- Libraries & Frameworks:
- Data Analysis: Pandas, NumPy
- Machine Learning: Scikit-Learn, TensorFlow, Keras
- Data Visualization: Matplotlib, Seaborn, Plotly
- Web Scraping: BeautifulSoup, Scrapy
- Databases: MySQL, PostgreSQL
- Tools: Jupyter Notebooks, Google Colab, Git, Docker
- Cloud Platforms: AWS (S3, EC2), Google Cloud
I believe in continuous learning to stay up-to-date with the latest trends in data science. Here's what I'm currently focused on:
- Deep Learning: Building models using TensorFlow and Keras
- NLP (Natural Language Processing): Exploring sentiment analysis, text classification, and transformers
- Generative AI: Understanding the applications and limitations of generative models like GPT and DALLΒ·E
Hereβs a list of courses and certifications Iβve completed as part of my journey in data science:
- Data Science Mastery Program (DSMP) - Data Seekho
- [Course Name] - [Provider]
- [Course Name] - [Provider]
Read my blogs :
I enjoy connecting with fellow data enthusiasts, so feel free to reach out to me! Whether itβs to collaborate, discuss projects, or exchange knowledge, Iβm always open to new connections.
- LinkedIn: Sobia Noor
- Email: sobianoor087@gmail.com
Thank you for visiting my profile, and I hope you find my projects insightful!
Aside from coding, I enjoy cycling, playing cricket, and reading about AI trends!