A Full Stack Data Scientist with 2+ years of experience in Data Science, Big Data, ML Ops, and Cloud Computing. Experienced in Machine Learning, Deep Learning, Text Mining, and Computer Vision. Proficient in analytics tools like AWS SageMaker, Docker, MLFlow, Github, OpenCV, SQL, PyTorch, Keras, MongoDB, Pandas, Plotly, Power BI, and languages like Python, R,.and C++. A proactive and fast-learning data lover seeking an opportunity to work in dynamic data science, utilizing logical & analytical skills in a proficient way to help the corporate achieve business goals. • Experience in developing Python scripts using various libraries such as TensorFlow, Scipy, Numpy, Pandas, Matplotlib, Keras API, and OpenCV for data analysis and numerical computations. • Involved in Data Preprocessing Techniques for making the data useful for creating Machine Learning models. • Involved in creating various regression and classification algorithms by using various Sklearn libraries such as Linear Regression, Decision Trees, and Random Forest. • Capable of developing deep-learning models using multiple frameworks such as TensorFlow, Keras, PyTorch, and Detectron2. Technical Skills Set -Python Libraries-(Pandas,sklearn,numpy,matplotlib,seaborn,keras,theano,tensorflow,NLTK,OpenNlp etc.) - Machine Learning, Deep Learning(Perceptron,Activation Function, Loss function,Optimiser) - BigData Analytics(SQL,Spark,Hadoop,Hive) -Computer Vision( Basic,LeNet-5, AlexNet, VGG-16,GoogleNet,ResNet,Object detection, Object Classification,Segmentation, GAN) - Natural language processing(NLP,Standford,LSTM,GRU,Transformer,Bert,BART,GPt-V1,V2,Chat GPT(Basic)) - Language(Python,R) - Visualization(Tableau,Jupyter) -Generative AI, Prompt Engineering, LLM, Langchain, HuggingFace Models.