About Me
Marcelino Emad Kadry is a Data Analyst with experience using Power Apps, Power Automate, and data analysis to build custom solutions and support reporting needs. He has skills in Python, NLP, PyTorch, C++, Java, C#, SQL,…
Marcelino Emad Kadry is a Data Analyst with experience using Power Apps, Power Automate, and data analysis to build custom solutions and support reporting needs. He has skills in Python, NLP, PyTorch, C++, Java, C#, SQL, HTML, CSS, PHP, Microsoft Office, and Power Platform, and has worked on projects involving clinic systems, party planning websites, and an AI-based customer care support system.
Experience
Data Analyst
Created custom solutions using Power Apps and Power Automate to meet the sales agents' requirements, including features for order processing, customer management, and sales reporting.
Developed an inventory app that allowed for efficient tracking of product quantities, reorder alerts, and real-time updates on stock levels.
Provided real-time access to critical data for decision-makers, reducing delays and enhancing responsiveness in various departments.
Financial Inclusion Summer Training Program
Actively engaging in all training sessions, workshops, and activities to maximize learning opportunities.
Developing analytical skills to evaluate case studies, real-life examples, and emerging trends in financial inclusion, and effectively communicating findings and insights.
Reflecting upon personal experiences, observations, and lessons learned during the training program to deepen understanding and identify areas for personal and professional growth.
Showcasing strong analytical skills by effectively interpreting exam questions, identifying relevant information.
Data Analyst
Collecting attendance records, grades, and course data from relevant sources, ensuring data integrity, accuracy, and adherence to privacy regulations.
Creating clear and visually appealing data visualizations, such as charts, graphs, and dashboards, to present key findings and trends effectively to stakeholders.
Ensuring the accuracy, reliability, and consistency of data analysis methodologies, adhering to established standards and best practices in data analytics.
Successfully troubleshooting data-related issues, such as missing or inconsistent data, and implementing effective solutions to ensure the integrity and reliability of the analysis.
Identifying inefficiencies or bottlenecks in data collection, analysis, or reporting processes and implementing improvements to enhance accuracy, efficiency, and data integrity.
Instructor
Fostering a learner-centered environment through diverse teaching methods, multimedia resources, and practical exercises, with an emphasis on clear demonstrations of Microsoft Office and programming concepts.
Facilitating hands-on exercises, projects, and coding assignments that allow students to apply their skills and knowledge in practical scenarios, enabling them to build a strong foundation and gain practical experience.