I am a Data Scientist with a robust academic background and extensive experience in data science, machine learning, and AI. I hold an M.Sc. in Data Science from the University of Surrey, where I developed a strong proficiency in applying data-driven techniques to real-world problems.

In my role as a Data Researcher and Engineer at Fleet Street Research , I significantly improved data workflows, optimized large dataset pipelines, and automated processes to reduce manual entry time by 50%. My internships at Yoshops.com and Forsk Coding School reinforced my skills in machine learning, NLP, and scalable cloud solutions on AWS. Key projects included building predictive price models, developing a 90% accurate deep learning model for medical diagnostics, and performing large-scale sentiment analysis to derive actionable business insights.

I am proficient in Python, SQL, TensorFlow, and AWS, specializing in data extraction, processing, and deploying machine learning models. My technical expertise is complemented by strong communication, problem-solving, and leadership skills, demonstrated through founding the REGEX-CSE Club and serving as a college treasurer.

I am passionate about leveraging data science to drive business growth and strategic decisions. I am seeking opportunities to apply my skills in a dynamic environment that fosters innovation and collaboration.