As a data scientist at Meezan Bank, I apply my expertise in big data analytics, machine learning, and Python to design and implement data-driven solutions. These initiatives contribute to leveraging data insights for informed decision-making and driving organizational growth.Previously, I worked as a machine learning engineer at Technocolabs Softwares, where I led the data preprocessing, feature engineering, and classification efforts using historical banking data. I implemented various classification models, including linear regression, decision tree regression, and SVM regression, to enhance predictive analytics.I also developed a user-friendly geofencing project using Dataverse, SQL Server, and .NET as a software engineer at Impulz Technologies.I have a Bachelor of Engineering in Computer and Information System Engineering from NED University of Engineering and Technology, and a Diploma of Education in Big Data Analytics from Institute of Business Administration. I have also earned multiple certifications in Python, data analytics, and database design from reputable platforms.Remaining attentive to detail and dedicated to ongoing learning, I stay up-to-date with the newest developments in data science and software development. This ensures my delivery of cutting-edge solutions that are both innovative and dependable.With expertise in machine learning, deep learning, NLP, data visualization, and statistical analysis, I collaborate with industry leaders on impactful projects. My focus is on delivering high-quality, data-driven solutions that meet stakeholder expectations.