Data Science Lecturer at Riphah International University with experience in data science, machine learning, statistics, and curriculum development. Also experienced as a remote Data Scientist and Graphic Designer, with a…
Data Science Lecturer at Riphah International University with experience in data science, machine learning, statistics, and curriculum development. Also experienced as a remote Data Scientist and Graphic Designer, with a background in software engineering and data sciences.
<p>Conducted engaging lectures and workshops on data science, machine learning, and statistics.<br>
Formulated and maintained industry-aligned curriculum to promote critical thinking.<br>
Conducted data analysis, implemented predictive models, and effectively communicated insights to students, bridging the gap between theoretical concepts and practical application.<br>
Provided mentorship for students in research endeavors, elevating program efficacy.</p>
Curriculum Development: Design and update courses related to data science, machine learning, statistics, and related subjects. Ensure that the curriculum reflects the latest developments in the field.
Teaching: Conduct lectures, seminars, and workshops for undergraduate and/or graduate students. Deliver course materials effectively and engage students in learning.
Student Supervision: Advise and mentor students on their projects, theses, or dissertations related to data science. Provide guidance and support for their academic and career development.
Assessment: Develop and administer assessments, exams, and assignments to evaluate student performance. Provide constructive feedback to help students improve their skills.
Research: Engage in research activities related to data science, either independently or as part of a research team. Publish research papers in academic journals and present findings at conference Research Planning: Develop research plans and strategies, including defining research questions, objectives, and hypotheses. Create a roadmap for the research project.
Data Collection: Gather data from various sources, which may include surveys, experiments, public datasets, or proprietary data. Ensure data quality and integrity.
Data Analysis: Apply statistical and machine learning techniques to analyze data and extract meaningful insights. Develop models and algorithms to solve research problems.
<p>Extracted insights from complex data using statistical methods and machine learning.<br>
Communicated findings through impactful data visualizations.<br>
Developed and deployed predictive models to optimize business processes, improving software solutions and enhancing efficiency.</p>
<p>Provided expert guidance and hands-on training to students, fostering their graphic design skills and creativity in Adobe Photoshop, Illustrator, InDesign, and online design tools like Canva.<br>
Collaborated with the curriculum development team to ensure that training materials remained up-to-date and aligned with industry trends.</p>
<p>Produced captivating visuals aligned with event standards.<br>
Delivered quality digital and print assets on time.<br>
Translated client vision into compelling designs.</p>
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