Rahul Kumar

As a Data Scientist, I specialize in data analysis, visualization, and machine learning techniques. I have extensive experience in building machine learning models, creating data science pipelines, and optimizing model performance. My work involves exploring data to derive insights and implementing various machine learning algorithms to solve business challenges.

I developed a real-time streaming application for financial data processing. This involved creating a scalable solution using Flink and handling a high volume of booking streams daily, which improved the efficiency of payment tracking for various business domains.

In my role as a Software Engineer, I analyzed customer spending data using PCA and Gaussian Mixture Models to provide insights for optimizing delivery services. My focus was on understanding customer segments to improve service structure for a wholesale distributor.

Grade: 8.1/10.0

Bachelor of Technology in Computer Science with relevant coursework including Algorithms and Data Structure, Machine Learning, Database Management System, Operating System, Computer Network, Linear Algebra, Discrete Mathematics, Fuzzy Logic and Neural Network, and Big Data.

Grade: 9.05/10.0

Bachelor of Technology in Information Technology with coursework in Machine Learning, Deep Learning, Probability and Applied Statistics, Advanced Data Structure and Algorithms, Natural Language Processing, and Medical Image Processing.