Ilyas Ahmad

I help businesses turn raw, messy data into clear insights and decisions. As a Data Science student with hands-on experience across AI, machine learning, computer vision, and data analytics, I've worked on everything from cleaning and validating real-world business datasets to building interactive dashboards and predictive models that stakeholders actually use. My recent work spans three internships: at NCAI, I build computer vision and deep learning models (including YOLO-based object detection and multimodal AI pipelines); at FlyRank AI, I performed data analysis and preprocessing on business datasets and built reports to communicate findings to stakeholders; and at DecodeLabs, I designed Power BI and Excel visualizations and developed predictive models using regression techniques. What I bring to a project: Clean, validate, and structure data so it's reliable before analysis begins Build dashboards and visualizations in Power BI, Tableau, and Excel that communicate insights clearly to both technical and non-technical audiences Apply Python (Pandas, NumPy, Scikit-learn) and SQL for data analysis and predictive modeling Develop machine learning solutions — from classification and regression models to computer vision applications Communicate findings and recommendations in plain language, not just technical jargon I'm detail-oriented, comfortable working independently, and genuinely enjoy the process of turning ambiguous, inconsistent data into something a business can act on. Whether you need a one-off analysis, an ongoing dashboard, or a small ML model built out, I'm happy to scope the work with you upfront so we're aligned before I start.

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