Muhammad Tahir

Skills

Python, SQL, Pandas, NumPy, Microsoft Excel, Data Analysis, Data Cleaning, Data Visualization, Machine Learning, Artificial Intelligence, Statistics, Data Preprocessing, Exploratory Data Analysis (EDA), Computer Vision, Jupyter Notebook, Git, GitHub, FastAPI, REST APIs, Prompt Engineering, Large Language Models (LLMs), RAG, Qdrant, Vector Databases, Data Structures, Algorithms, Problem Solving, Critical Thinking, Power BI, Tableau, Google Sheets, Report Writing

About

Recent Computer Science graduate with a strong foundation in data analytics, machine learning, and AI. Skilled in Python, SQL, Pandas, NumPy, Excel, and data visualization, with hands-on experience cleaning, analyzing, and interpreting real-world datasets to generate actionable insights.

My final-year project focused on developing an FPGA-accelerated lightweight AI model for secure ID card field recognition, giving me practical experience in machine learning, computer vision, data preprocessing, and model optimization.

I enjoy solving complex problems, working with data, and continuously learning new technologies. I am currently seeking opportunities as a Junior Data Analyst, Data Scientist, or AI/ML professional where I can contribute, learn from experienced teams, and build impactful data-driven solutions.