Shaheer Ahmed
NUST
· 2023
Email
therealshaheer@hotmail.com
Phone
03185175030
LinkedIn
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Academic
Program
BESE
CGPA
3.34
Year
2023
Education
SEECS
Address
Karachi, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Recurrent neural networks, Computer vision, Python, keras, Tensorflow, scikit-learn, pytorch, Nvidea jetson nano, Open cv, Machine learning, Opp and design patterns, Statistical data analysis, Analytical thinking, Communication skill, Computer vision toolbox, Problem solving skills, Entrepreneurial skills, Leadership qualities
Interests / quote
An avid ML engineer eager to apply ML techniques and leverage algorithms to solve real world business problems.
Verbatim text
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Shaheer Ahmed Details Technical Skills Soft Skills Reference Cell: 03185175030 Email: therealshaheer@hotmail.com Address: R-1654, Block 15 Dastagir society, federal b area Karachi , Pakistan Recurrent neural networks Computer vision Python, keras Tensorflow, scikit-learn Tensorflow, keras, pytorch Nvidea jetson nano Open cv Machine learning Opp and design patterns Statistical data analysis Analytical thinking Communication skill Computer vision toolbox Problem solving skills Entrepreneurial skills Leadership qualities To be furnished upon request. Professional Profile An avid ML engineer eager to apply ML techniques and leverage algorithms to solve real world business problems. Education BE Software Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.34 Pre Engineering - A levels Cambridge IGCSE Pakistan International School Jeddah - English Section , (Sep 2016 - Aug 2018) Internship Experience ONT Lab NUST ( 01-Oct-2022 - 31-Dec-2022 ) Application of Active Learning on Classification Problems Projects Stock Forecasting Forecasting Google Stock Prices using LSTM. https://github.com/e-programmer/Stock-forecasting- using-RNN Churn Modelling Churn modelling on a bank dataset to determine which customers are leaving using artificial neural networks. https://github.com/e-programmer/ChurnModelling Kernel-SVR-Optimization Optimization of support vector regression on a dataset of superconductivity provided by the UCI Machine Learning Repository. https://github.com/e-programmer/Kernel-SVR-Optimization
AI enrichment
Shaheer Ahmed is a BE Software Engineering graduate with a 3.34 CGPA and internship experience at ONT Lab NUST. He specializes in machine learning, computer vision, and deep learning using Python, TensorFlow, and PyTorch.
Skills (AI)
["Python", "TensorFlow", "Keras", "PyTorch", "Scikit-learn", "OpenCV", "Machine Learning", "Deep Learning", "Computer Vision", "Recurrent Neural Networks", "LSTM", "Support Vector Regression", "Nvidia Jetson Nano", "Statistical Data Analysis"]
Status: ai_done