I am a dedicated Information Technology student specializing in 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, and 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 eager to leverage my skills in real-world applications. Proficient in Python and SQL, and passionate about transforming raw data into actionable insights and leveraging AI to drive innovation.𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:• 𝐏𝐲𝐭𝐡𝐨𝐧: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, TensorFlow, Keras• 𝐒𝐐𝐋: Aggregate Functions, Window Functions, CTEs, Subqueries, Joins, Triggers, Procedures• 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Tableau, Excel• 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Supervised and Unsupervised Algorithms• 𝐖𝐞𝐛 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: HTML, CSS, Bootstrap, JavaScript, Django• 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Git/GitHub, Requirement Analysis & Documentation𝐊𝐞𝐲 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬:• 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: Analyzed over 7,600 movie records and 56,000 housing records using Python and SQL, uncovering key patterns and trends. Developed a Tableau dashboard from 85,000 COVID-19 records, highlighting critical global and regional health insights.• 𝐏𝐚𝐩𝐞𝐫 𝐃𝐞𝐟𝐞𝐜𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Engineered machine learning models with up to 99% accuracy for detecting paper defects from a 1,500+ image dataset. Enhanced model performance through advanced computer vision techniques and ensemble methods, achieving precise defect localization.I am eager to apply my skills in data analysis and machine learning to tackle innovative projects and drive impactful solutions. Open to internships, collaborations, and discussions in data-driven problem-solving and AI. Feel free to reach out via LinkedIn or email at abdullahimranarshad@gmail.com to explore opportunities or share ideas.