👨‍💼 Ahmad’s Portfolio

🌟 Welcome to my portfolio page where I showcase my machine learning and data science projects, along with my certifications. 🌟

🌍 Overview

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🖥️ Programming Languages: Python, R, SQL.
🤖 Machine Learning Libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn.
🤖 Machine Learning Techniques: Regression, Classification, Clustering, Decision Tree, Dimensionality Reduction, Ensemble Methods (Random Forest, XGBoost).
🧠 Deep Learning: CNN, RNN, LSTM, TensorFlow, PyTorch, Transfer Learning, OpenCV, NLTK, Natural Language Processing, Computer Vision.
🔍 Data Science & Miscellaneous Technologies: Data science pipeline (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Probability, Time Series, Git, Streamlit.
📊 Data Analysis Tools: Microsoft Excel, Microsoft Power BI, PySpark, MS SQL, Oracle SQL, Azure Databricks.
☁️ Cloud Technologies: Azure, Microsoft LUIS (Language Understanding).

Credit: Cognizant

Specialized in ML and NLP using Azure Databricks, PowerBI, and SQL, adapting to shifts and different time zones to meet client demands.
Developed and refined ML/NLP applications, ensuring updates aligned with client requirements.
Designed interactive data dashboards in PowerBI, translating complex data into intuitive visuals.
Utilized Azure Databricks for comprehensive data management, from ingestion to analysis.
Collaborated with diverse teams to provide data-driven solutions and effectively communicated insights to varied audiences.
Maintained optimal application performance, promptly addressing bugs and deploying updates, especially for an NLP web application on Azure.

Implemented machine learning techniques for optimizing TensorFlow lite, reducing process time and memory usage.
Designed and optimized deep learning models for efficiency.
Collaborated with the team to enhance machine learning solutions.

Led recitations, graded coursework, and assisted students in understanding machine learning concepts.

Machine Learning Specialization - January 17, 2023
Institution: DeepLearning.AI via Coursera
Courses Covered:

Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning
Instructors: Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig
Description: Completed a comprehensive specialization on machine learning, including topics like supervised and unsupervised learning, recommender systems, and reinforcement learning. Gained practical skills for implementing machine learning solutions to real-world challenges.
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Additional Certificates: