i am a Machine Learning Engineer, Data Scientist and Data Analyst with three and a half years of experience. I understand the key concepts and principles of complex big data and what it takes to successfully execute all assigned duties. After working in the data science industry, I have developed extensive knowledge and expertise in the field and gained valuable experience in various aspects of this job. Besides collecting and examining big data, I am fully skilled in creating and implementing professional data forecasting models, producing detailed reports, and performing multiple data management tasks. Moreover, my previous roles have helped me to develop and significantly improve my attention to detail, accuracy and gave me a chance to see and feel what it's like to be a part of a deadline-driven and fast-paced business environment.Machine learning and deep learning algorithms/frameworks include BERT , LIGHTGBM , XGBOOST, CATBOOST , LSTM , RNN , CNN , Yolo , RESTNET , GPT3 , Neural Networks , Transfer Learning , Random Forrest , Decision Tree , Clustering , Linear Regression , Logistic Regression , Naive Bayes. Technology stack includes Python , C++ , Pandas, Matplotlib , Seaborn , Plotly , Sklearn , TensorFlow , NLTK , Spacy , Keras , Flask , Django , Swagger , PowerBI.