Data Scientist and Machine Learning Engineer with a strong background in data engineering,
predictive modeling, and statistical analysis. Expertise in developing scalable, high-impact solutions
using cutting-edge machine learning techniques and cloud-based technologies. Proficient in
designing, deploying, and optimizing machine learning models, with comprehensive skills in feature
engineering, NLP, real-time anomaly detection, and distributed data processing. Adept at full-stack
web development, creating RESTful APIs, and implementing DevOps/MLOps practices for seamless
CI/CD pipelines. Experienced in cloud platforms, including AWS for scalable solutions and
containerization tools like Docker and Kubernetes for robust deployment.
Demonstrated success in leading projects that include high-throughput genomics research,
real-time video surveillance systems, and predictive analytics platforms. Proven ability to manage
cross-functional teams, mentor staff, and drive innovation through data-driven insights. Strong
analytical thinking, problem-solving, and project management skills, coupled with excellent
communication abilities. Committed to continuous learning and delivering results aligned with
client and business objectives.More...