Skip to content
View usmanumar97's full-sized avatar

Block or report usmanumar97

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
usmanumar97/README.md

Hi, I'm Osman Janjua! πŸ‘‹

Welcome to my GitHub profile! I'm a Data Scientist and Machine Learning Enthusiast with a knack for solving real-world problems through data-driven solutions. I have experience working in industries like marketing and real estate, helping teams make informed decisions through data analysis, predictive modeling, and AI tools.

πŸš€ My Skills:

  • Programming Languages: Python, SQL, R, JavaScript (Node.js, Express.js)
  • Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning: Scikit-learn, TensorFlow, Keras
  • Deep Learning: CNNs, Neural Networks
  • Databases: MySQL, PostgreSQL
  • Cloud Services: AWS (EC2, Lambda, SageMaker, S3)
  • Web Frameworks: FastAPI, Streamlit

🌱 Currently Learning:

  • Convolutional Neural Networks (CNNs) for image processing
  • FastAPI for deploying machine learning models
  • Advanced Data Analysis techniques in Python

πŸ‘¨β€πŸ’» Experience:

I have worked with both marketing and real estate teams to improve their business strategies through data analysis and model building. My machine learning expertise spans across multiple domains, where I developed predictive models, handled large datasets, and deployed scalable solutions using cloud services like AWS.

Some key highlights of my experience include:

  • Developing predictive models to analyze marketing data and forecast trends.
  • Building real estate forecasting models to assist with key business decisions.
  • Collaborating with cross-functional teams to implement data-driven solutions that directly impact business outcomes.

πŸ‘¨β€πŸ’» Projects:

  • Stock Market Prediction Model: Developed pipelines and machine learning models for stock price prediction using Yahoo Finance data.
  • Potato Disease Detection: Implemented a CNN model in TensorFlow for detecting blight in potatoes.

πŸ› οΈ Tools I Use:

  • Version Control: Git, GitHub
  • Cloud Computing: AWS (EC2, Lambda, SageMaker, S3)
  • Development: Node.js, Express.js, JupyterLab, Visual Studio Code, PyCharm
  • Data Visualization: Matplotlib, Seaborn, Plotly

πŸ’‘ What I'm Excited About:

I'm passionate about the intersection of data science and technology. I enjoy building machine learning models that not only provide insights but also have a real-world impact. Currently, I'm delving deeper into AI and deep learning with a focus on deploying scalable solutions.

πŸ“« How to Reach Me:

LinkedIn Instagram Facebook

πŸ“§ Email me at: [email protected]

Pinned Loading

  1. CNR-ML-Project CNR-ML-Project Public

    Jupyter Notebook

  2. DSA-Projects DSA-Projects Public

    Theis repository is to keep track of my Data Structures and Algorithims learning material and how muchI have covered thus far.

    Jupyter Notebook

  3. Kaggle-Insurance-Classification-Project Kaggle-Insurance-Classification-Project Public

    Jupyter Notebook

  4. MDX-2023-Hackathon-Winners MDX-2023-Hackathon-Winners Public

    Jupyter Notebook

  5. potato-disease-blight-detection-CNN potato-disease-blight-detection-CNN Public

    This project demonstrates a deep learning-based approach to detect diseases in potato plants using Convolutional Neural Networks (CNN) built with TensorFlow and FastAPI for serving the model predic…

    Jupyter Notebook

  6. StockPred-v2.0 StockPred-v2.0 Public

    StockPred v2.0

    Jupyter Notebook