About

Ajay Kumar is a highly experienced Lead Data Scientist with over 10 years of experience in the computer and network security industry. Currently working at Ericsson, he is skilled in a range of programming languages and technologies including Python, Oracle Database, Apache Kafka, Apache ZooKeeper, and Hive. Ajay has a Bachelor of Technology (BTech) in Computer Science from Dhirubhai Ambani Institute of Information and communication Technology. Throughout his career, Ajay has worked on a range of projects that demonstrate his expertise in AI, ML, and NLP. While at McAfee, he designed and built predictive AI messaging systems with logistic regression and random forest using Python to improve the existing messaging system. He also designed predictive classifier models using Logistic Regression and Random Forest to identify potential customers for subscribing McAfee products based on different regions APAC, NA, EU for different vendors. Ajay has also worked on developing Copper Field AI API to detect malicious sites using Random Forest to integrate with SHP (Secure Home Platform) product in which security is implemented at router level to improve product. Ajay has a deep understanding of neural networks and NLP, having built models using Keras to analyze customer sentiments over McAfee products and categorize them into different categories to improve service and identify key problems to help business. He has also worked on various POC related to Image processing using Neural network CNN model with Keras for True Key product which manages all user passwords and authentication which happens with image using yap product and analyzing data for different products like Safe Family to get insight into the products to increase chances of generating Revenue. Ajay is a strong engineering professional with a Data Science Micro Degree Program from KTH Royal Institute of Technology, Stockholm, Sweden. His technical expertise includes Data Scientist, Research Scientist, AI, NLP, ML, Python, Random Forest, Kafka, Keras, Neural Networks, Hadoop, Search, Image Processing, Deep Learning, Apache Hive, Cassandra, AWS, Mobile, Text Classification, Recommendation system, CNN, Tokenization, Normalization, Spark, Scikit, Django, MySQL, Pytorch, and Azure.