Abdullah
Data Science Ml Engineer @Fildata
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WORK HISTORY
Data Science Ml Engineer @Fildata
Manchester, GB
Worked as a Data Science Intern while completing my Master’s dissertation in partnership with Fildata, a data solutions company specializing in Business Intelligence, Data Engineering, and Data Science. The role involved applying advanced data science methodologies in a professional environment while adhering to strict confidentiality agreements.Key Responsibilities:• Collected, cleaned, and analyzed large datasets to extract meaningful insights using Python and modern data analysis tools.• Designed and evaluated machine learning models using supervised and unsupervised techniques for predictive analytics.• Performed feature engineering, data preprocessing, and model validation to improve model performance and reliability.• Worked with relational and NoSQL databases for efficient data storage, querying, and optimization.• Applied statistical analysis techniques to interpret data trends and support evidence-based decision making.• Built clear visualizations and dashboards to communicate insights effectively to stakeholders.• Followed best practices in data ethics, confidentiality, and secure data handling.• Collaborated remotely with mentors and data professionals, improving teamwork, research, and problem-solving skills.
EDUCATION
The University of Salford
Master's degree , Data Science
Arid Agriculture University
Bachelor's degree, Computer Science
ABOUT ABDULLAH
Hi, I’m Abdullah Mir, a Flutter Mobile App Developer and MSc Data Science candidate with a strong interest in Machine Learning and intelligent systems.During my master’s, I developed strong foundations in:• Machine Learning & Predictive Modeling• Applied Statistics & Data Analysis • Data Visualization & Storytelling • Advanced Databases & Big Data Tools • Python for Data ScienceI have years of hands-on software engineering experience delivering scalable, high-performance mobile applications in production. This experience allows me to translate research concepts into practical system architecture, performance optimization, and reliable real-world solutions.I’m particularly interested in applying machine learning and data science to build intelligent mobile apps and data-driven products with meaningful real-world impact.
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