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Pakeeza Syed UserPU
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Pakeeza Syed User

@pakeezasyeduser

I build Python, Flask, and machine learning projects for practical real-world problems.

Pakistan
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What I'm looking for

I'm seeking opportunities to apply and grow my technical skills in software and machine learning engineering, contributing to practical Python, web platform, and ML projects.

I've built practical Python, web, and machine learning projects through remote internships at Elevvo Pathways and Synent Technologies. My work includes customer segmentation, sales forecasting, music genre classification, industrial predictive maintenance, and data-driven model evaluation.

At Synent Technologies, I developed a file organizer, a command-line weather app using the OpenWeatherMap API, a password generator, and a number guessing game. I also used pandas, NumPy, and matplotlib for data cleaning, analysis, and visualization while learning core machine learning and deep learning algorithms.

I built SilverConnect, a Flask and MongoDB platform that connects senior citizens with student volunteers for technology assistance, including role-based admin access. I also developed SmartGrade-AI, a Streamlit application that predicts student grades from academic performance data.

I'm pursuing a BS in Computer Science with a 3.87 CGPA and have represented KICSIT in inter-university programming competitions. I'm eager to keep applying Python, web development, and ML skills to meaningful software and machine learning engineering work.

Experience

Work history, roles, and key accomplishments

EP

ML Engineering Intern

Elevvo Pathways

Aug 2026 - Present (1 month)

Worked on applied machine learning projects covering customer segmentation, sales forecasting, music genre classification, and industrial predictive maintenance. Applied Python, pandas, and scikit-learn to build and evaluate ML models across varied real-world datasets.

Education

Degrees, certifications, and relevant coursework

Institute of Space Technology logoIT

Institute of Space Technology

Bachelor of Science, Computer Science

2024 -

Grade: 3.87

Pursuing a BS in Computer Science with a CGPA of 3.87, expected to graduate in 2028.

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