Vikrant R.

Background

About Vikrant R.

Currently working as Data Scientist @KPMG Global Services(KGS) Ex -"Machine Learning Engineer" at eClerx, Mumbai Ex-"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 Exam Skills: Programming Languages • C, Python, SQL, HTML, CSS, Web Application Framework • Flask Data Structures and Algorithms DBMS Operating Systems Machine Learning Supervised Learning • k-Nearest Neighbors, Naive Bayes, Support Vector Machine, Decision Tree, Logistic Regression, Ensemble Models- Random Forest, Gradient Boosting Decision Trees, Ada Boost Unsupervised 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, BeautifulSoup Deep Learning • Deep Neural Networks, Auto Encoders, Convolutional Neural Networks (ConvNets), Recurrent Neural Networks – LSTMs, GRUs Generative Adversarial Networks (GANs) Transfer Learning, Sequence-to-Sequence Models, Attention Mechanism, Transformers, BERT, Faster R-CNN, YOLO, Mask R-CNN Deep Learning Frameworks • PyTorch, Keras, TensorFlow Natural 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 Generation Web Scraping