Deepak Kumar Email & Phone Number

As a Analyst at Proclink, I work on data-driven solutions for the refinery sector, using inferential machine learning models, fault tree real-time monitoring, and fault detection models for hydrocracker units in refinery plants. Im currently involved in implementing Time-Series forecasting models such as VAR, SVR, and VARX, and designing robust LSTM model architectures for Multivariate Multi-Step Multi-Output problems using Python and TensorFlow.I pursued my Master's degree in Chemical Engineering from BITS Pilani, where I have acquired a solid foundation in chemical engineering principles, data analysis, and optimization techniques. I served as a Teaching Assistant, where i assisted professors in conducting lectures, tutorials, labs, grading assignments and exams.I have completed multiple certifications in SQL, Machine Learning, and Data Science from Internshala to further enhance my skills and knowledge in the data ecosystem.My goal is to become proficient in the field of data science and apply my skills and knowledge to solve complex and impactful problems in the refinery sector. I am extremely curious about how data can be used to improve the efficiency, safety, and sustainability of the refining processes and operations. I am also passionate about learning new technologies and tools that can help me achieve this goal.