Currently working as Data Scientist @KPMG Global Services(KGS) Ex - "Machine Learning Engineer" at eClerx, MumbaiEx- "Co-op Machine Learning Engineer" at Advanced Micro Devices (AMD) Areas of Interests: Data Science, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision Qualified GATE 2016, 2017 & 2018 ExamSkills:Programming Languages• C, Python, SQL, HTML, CSS,Web Application Framework• FlaskData Structures and AlgorithmsDBMSOperating SystemsMachine LearningSupervised Learning• k-Nearest Neighbors, Naive Bayes, Support Vector Machine, Decision Tree, Logistic Regression, Ensemble Models- Random Forest, Gradient Boosting Decision Trees, Ada BoostUnsupervised Learning:• Principal Component Analysis, t-SNE , K-Means Clustering, Hierarchical Clustering, Density Based Clustering (DBSCAN)Machine Learning Libraries• Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Natural Language Toolkit (NLTK), Gensim, requests, BeautifulSoupDeep Learning• Deep Neural Networks, Auto Encoders, Convolutional Neural Networks (ConvNets), Recurrent Neural Networks – LSTMs, GRUsGenerative Adversarial Networks (GANs) Transfer Learning, Sequence-to-Sequence Models, Attention Mechanism, Transformers, BERT, Faster R-CNN, YOLO, Mask R-CNNDeep Learning Frameworks• PyTorch, Keras, TensorFlowNatural Language Processing• Text Classification(Sentimental Analysis), Text Summariztion, Machine Translation, Information Retrieval, Named Entity Recognition, Question Answering Computer Vision• Image Classification, Object Detection, Image Segmentation, Image GenerationWeb Scraping