Neeraj Kumar

I am a dedicated Data Scientist with a strong background in machine learning and deep learning, currently working at Transorganalytics. My journey began with a solid educational foundation from Delhi Technological University, where I honed my skills in electronics and communication. Over the years, I have developed a keen interest in data analysis and predictive modeling, which has led me to work on impactful projects that enhance business decision-making.

At RBL Bank, I successfully developed credit risk models that improved the bank's ability to measure creditworthiness by 25%. Utilizing advanced techniques such as XGBoost in Python, I enhanced model accuracy from 82.6% to 89.5%. My commitment to quality is evident in my design of data preprocessing and feature engineering pipelines, which significantly reduced manual hours and improved model performance. I take pride in my ability to validate and monitor credit risk models, achieving an impressive accuracy rate of 95% and reducing false positives by 20%.

In my previous role as an ML Engineer at Camereye, I focused on analyzing text data to identify patterns that led to a 10% increase in customer satisfaction scores. I am passionate about leveraging new technologies and optimizing machine learning pipelines, which has resulted in substantial improvements in system performance. My technical skills, combined with my dedication to continuous learning and improvement, make me a valuable asset to any team.