Pranjal is a data scientist, an editor, and a 3x top writer in Artificial Intelligence. His articles have been featured on KDNuggets & Towards Data Science. He is having 4+ years of Experience in Machine Learning, Analytics & Deep Learning.
Pranjal has worked with different use-cases like building end-to-end object detection systems, AI-Powered Chatbots, document classification, invoice processing, and much more related to NLP and computer vision.
Pranjal is having command in the following skillsets.
Machine Learning techniques:-
* Random Forest, XGBoost, Bagging, Boosting, Decision Trees, SVM, Logistic Regression, and Linear regression.
Natural Language Processing Skills:-
* Transformer, BERT, T5, Seq2Seq, TF-IDF, Spacy, LSTMs, Recurrent Neural Network (RNN), GLoVe, Gated Recurrent Unit (GRU), Named Entity Recognition (NER), sentiment analysis, part-of-speech (POS) tagging, Word2Vec model, bag-of-words model, Features Extraction & Web Mining.
Computer Vision Skills:-
* Convolutional Neural Networks (CNN), You Only Look Once (YOLO), One-Shot Learning, Image Processing, R-CNN & Transfer learning models including VGGNet, ResNet, Inception, and AlexNet.
Analytical & Forecasting Techniques:-
Python, Pandas, Decomposition, ARIMA, SARIMA, ACF, PACF, Trend, Seasonality, Cyclicity, Irregularity, Matplotlib, Seaborn, Tensor-Board, SQL, Advanced Excel, Stats, and CUDA.