Waseem A.

Hi, This is Muhammad Waseem, a professional data scientist and a learned AI and Machine learning expert holding more than 1 year of experience in building AI and ML models including chatbot with openai and langchain etc. My skills are: 1) Building ML models like Nearest Neighbors, Decision trees, Naive biases, SVM's etc 2) Building Deep learning models like convolutional neural networks(CNN),deep neural networks (DNN), Natural language precessing(NLP), Computer vision, Large language models(LLM) etc using pytorch, NLTK, Tensorflow and keras etc like powerful libraries. 3) A strong grip over data science workflows like data extraction, data preprocessing or wrangling, data manipulation, data visualization, and story telling. 4) A strong grip over overwhelmingly used programming language in data science and Machine learning that is Python. 5) Chatbot development using popular frameworks like langchain with integration of popular LLM's like openai's ChatGPT and hugging face etc. 6) Making chatbots that can enhance the business by giving the client the information from the data that you provide. What libraries I use for above mentioned tasks: 1) for data cleaning and preprocessing: python's built in packages, Pandas, numpy etc. 2) for data visualization: matplotlib.pyplot, seaborn, plotly etc. 3) for Machine learning: scikit-learn and many others. 4) for Deep learning: pytorch, NLTK, keras, tensorflow etc. 5) for chatbot development: openai, ChatGPT, langchain, hugging face, pinecone etc. My cirtifications: 1) Introduction to Python ([login to view URL]) 2) Intermediate Python ( [login to view URL]) 3) Exploring and Analyzing data with Python ( [login to view URL]) 4) Data manipulation with Pandas ( [login to view URL]) 5) Machine Learning with scikit-learn ( [login to view URL]) 6) Supervised Learning with scikit-learn( [login to view URL]) 7) Unsupervised Learning with scikit-learn ( [login to view URL]) 8) Linear Classifiers in Python ( [login to view URL]) 9) Introduction to Data Science ( [login to view URL]) 10) Joining data with Pandas ( [login to view URL]) 11) Python data science Toolbox part-1 ( [login to view URL]) 12) Python data science Toolbox part-2 ( [login to view URL]) 13) Data types for data science in Python ( [login to view URL]) and many other courses and codealongs.