Muhammad Umair Ali

Developed automated data pipelines for extraction, transformation, and loading (ETL) from diverse sources, including HTTP APIs and AWS S3. Secure access to directories through SSH, ensuring reliable data extraction, storage, and processing with robust validation and error-handling mechanisms. Skills: Python3, Airflow, Pandas, AWS, RESTful API's, Data Lakes, CI/CD, SciPy, Docker, Active Directory Seaborn, JupyterLab, DEEP EST, Linux, Bash, SSH.

Enhanced performance and accuracy of the retail recommender system by discovering hidden and interesting patterns in a dataset comprising millions of transactions. Developed advanced machine learning algorithms to optimize the quality of recommendations, resulting in an enhanced user experience. Skills: Python3, NumPy, Pandas, Mlxtend, Scikit-learn, SciPy, Matplotlib, Seaborn, JupyterLab, Conda, Weka, RapidMiner, Linux, Bash, SSH.

Successfully integrated backend functionalities using technologies like MySQL, optimizing data retrieval and storage for improved website performance. Collaborated closely with the design team to ensure seamless integration of UI/UX elements, resulting in a visually appealing and cohesive website layout. Skills: Python, HTML, CSS, JavaScript, Django