Open to opportunities

rayyan ahmed

@rayyanahmed

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Aspiring data analyst with expertise in machine learning and visualization.

Pakistan

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What I'm looking for

I seek a collaborative environment where I can apply my analytical skills and grow in data science.

I'm Rayyan Ahmed, a dedicated Bachelor of Science student in Artificial Intelligence at FAST NUCES, Karachi. My academic journey has equipped me with a solid foundation in data structures, algorithms, and machine learning, complemented by hands-on experience as a Data Analyst Intern at Tapal Tea. During my internship, I successfully analyzed purchasing data to improve procurement efficiency by 15% and developed interactive dashboards that reduced report preparation time by 50%.

In addition to my internship, I have worked on several innovative projects, including an Automated Cricket Highlight Generation system that utilizes computer vision and machine learning to detect key events in real-time. My passion for data analysis drives me to explore diverse applications, such as predicting university students' GPA based on various factors, where I achieved an impressive 83% accuracy. I am committed to leveraging my skills to contribute to impactful data-driven solutions.

Experience

Work history, roles, and key accomplishments

Current

Automated Cricket Highlight Generation

Current

Self-Directed Project

Sep 2024 - Present (9 months)

Developed a model for automated cricket highlight generation using computer vision and OCR technologies. The project involved creating a custom dataset, integrating a real-time chatbot for match queries, and implementing a win predictor model using machine learning techniques.

Computer Vision Machine Learning Chatbot Development Data Labeling

AI-Based Weaving Inspection Tool

Self-Directed Project

Sep 2024 - Oct 2024 (1 month)

Created an AI-based system for real-time defect detection in weaving processes. This project involved collecting and labeling fabric data, developing a computer vision model, and implementing machine learning algorithms to enhance quality control and defect identification.

Computer Vision Machine Learning Defect identification Quality Control Data Labeling Data Analytics

Data Analyst Intern

Tapal Tea

Jun 2024 - Jul 2024 (1 month)

As a Data Analyst Intern at Tapal Tea, I analyzed purchasing data to identify trends, leading to a 15% improvement in procurement efficiency. I developed interactive dashboards using SAP Analytics Cloud and Power BI, which reduced report preparation time by 50%. Additionally, I implemented predictive models for forecasting material purchases with 85% accuracy and wrote complex SQL queries for data

Data Analysis SAP Analytics Cloud Power BI SQL Dashboard Development Data Visualization Procurement Machine Learning

Predicting University Student’s GPA

Self-Directed Project

Sep 2023 - Oct 2023 (1 month)

Conducted a project to predict university students' GPA based on various factors. This involved designing a survey, performing data cleaning and exploratory analysis, and developing predictive models using Decision Trees and Random Forest, achieving 83% accuracy.