About

Pranjal Saxena is a Senior Data Scientist at ZS with over 4.86 years of experience in Machine Learning, Analytics, and Deep Learning. He is a 3x top writer in Artificial Intelligence and his articles have been featured on KDNuggets & Towards Data Science. Pranjal has a Bachelor's degree in Computer Science & Engineering from GLA University. Pranjal has worked on a wide range of use-cases, including building end-to-end object detection systems, AI-powered chatbots, document classification, and invoice processing related to NLP and computer vision. He has expertise in various Machine Learning techniques such as Random Forest, XGBoost, Bagging, Boosting, Decision Trees, SVM, Logistic Regression, and Linear Regression. In Natural Language Processing, Pranjal has experience with 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. In Computer Vision, he has worked with 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. Pranjal is proficient in Python, Pandas, Decomposition, ARIMA, SARIMA, ACF, PACF, Trend, Seasonality, Cyclicity, Irregularity, Matplotlib, Seaborn, Tensor-Board, SQL, Advanced Excel, Stats, and CUDA. He has also worked with various technologies such as Kafka, Golang, TensorFlow, Pytorch, MemCache, Redis, PHP, AWS, GCP, RabbitMQ, Cassandra, Microservices, Javascript, Ansible, New Relic, NoSQL, Integration, Frontend, Software Engineer, and Senior Software Engineer. Prior to joining ZS, Pranjal worked as an Assistant Manager at Genpact and as a Data Science Writer at Towards Data Science. He is a highly skilled and experienced data scientist with a passion for solving complex problems using his expertise in Machine Learning, Analytics, and Deep Learning.