Karan Malik

Background

About Karan Malik

Greetings, I am Karan Malik, a Computer Science graduate from Arizona State University, where I achieved a GPA of 4.00. My passion lies in leveraging cutting-edge technology to tackle complex challenges, particularly in software engineering and machine learning. In my professional journey, I engineered and optimized Olivia, a generative AI assistant at TheCRM Corporation, significantly enhancing customer query response accuracy along with developing and fine-tuning autonomous text and email reply systems. At Schlumberger, I developed a Python tool for time series data analysis that improved maintenance efficiency by 30%, along with anomaly detection algorithms that reduced fault isolation time by over 50%. During my tenure at Ernst & Young, I built machine learning ensembles and Big Data pipelines, achieving 91% accuracy in predicting customer payment defaults while optimizing computational overhead. My experience also includes generative deep learning and computer vision models. I am proud to have authored nine research papers, accumulating over 250 citations in respected journals, including Springer's MAPAN and Data Engineering for Smart Systems. My technical proficiency spans Python, C++, and MySQL, complemented by knowledge of Java, HTML/CSS, and JavaScript, ensuring a well-rounded skill set in data science and software engineering. I take pride in delivering quantifiable outcomes, such as optimizing algorithms and streamlining processes for efficiency gains. Beyond academia, I have held leadership roles in organizations like reflecting my commitment to collaboration and excellence. Best Regards, Karan