Hassan J.

I am a highly skilled AI Developer and AI Research Executive in Computer Vision Machine Learning engineering, NLP and LLMs Expert, and MS in Data Science from FAST (National University of Computer and Emerging Sciences). I have 3+ years of Experience as a Data Scientist, AI Engineer, and ML Engineer. Certifications: ✔ Certified Machine Learning Engineer (Coursera Andrew Ng). ✔ Certified Deep Learning Engineer. ✔ Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning ([login to view URL]). ✔ Sequecnes, Time Series, and Prediction ([login to view URL]) ✔ Build Basic Generative Adversarial Networks (GANs) ([login to view URL]). ✔ Certified Data Scientist (IBM Coursera). ✔ Certified AI TensorFlow Developer ([login to view URL]). ✔ Certified Python (MTA). Detailed Experience: Here is my Expertise as a Data Scientist ✔ Exploratory Data Analysis (EDA) exploring and summarizing data to understand its structure, identify outliers, and visualize patterns histograms, scatter plots, and summary statistics. ✔ Statistical Analysis statistical tests and methods to test hypotheses, make inferences, and quantify relationships between variables. ✔ Feature Engineering creating new features or transforming existing ones to improve the performance of the model. ✔ Data Preprocessing Cleaning, transforming, and scaling data to ensure it's suitable for analysis and modeling. ✔ Time Series Forecasting Predicting future values of a time-dependent variable using methods like ARIMA or Prophet Here is my Expertise in Deep Learning: ✔ CNN Family: AlexNet, GoogleNet, ResNet, EfficientNet, and, DenseNet for image classification. ✔ F-RCNN and, YOLO for Object Detection. ✔ Mask RCNN, For Instance Segmentation. ✔ GANs for dataset data generation. ✔ Stereo Vision Cam 3D Object detection and distance measuring. ✔ Image preprocessing, Image Enhancement, point detection, canny edge, LoG edge, Filters. Here is my Expertise in Machine Learning: ✔ Algorithms such as KNN, K-MEAN, DBSCAN, Hierarchical Clustering and, PCA. ✔ Data cleaning, handling missing values, and selecting the best features. ✔ Prediction models employing Linear Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, and SVM. ✔ Graphical Analysis on Matplotlib and Seaborn. Here is my Expertise as an NLP: ✔ Sentiment Analysis. ✔ RNN, GRUs and LSTMs. ✔ Similar Content Findings from PDFs, Bert pre-trained model and, transformers. ✔ LangChain and OpenAI Libraries and Frameworks for Data Scientist | Machine Learning Engineer | AI Engineer: numpy, pandas, scikit-learn, matplotlib, seaborn, TensorFlow, Keras, pytorch, statsmodels, nltk Opencv, Detectron2, and, Dlib. Tools for Data Scientist | Machine Learning Engineer | AI Engineer: Jupyter Notebooks, Google Colab, Docker, Amazon SageMaker, AWS, Git, and, Github. Programing Language: Python and, JavaScript.