Noor ul huda Ajmal
NUST
· 2023
Email
najmal.bese19seecs@seecs.edu.pk
Phone
03336217468
LinkedIn
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GitHub
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Academic
Program
BE Software Engineering
CGPA
3.19
Year
2023
Education
School of Electrical Engineering and Computer Science (SEECS)
Address
PSCC Batrasi Mansehra Kpk , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Big data analytics, Computer vision, Data analysis, Statistical analysis, Python, keras, Basics of python, Aws, regex, numpy, pandas, ocr, Tensorflow, pytorch, Analytical thinking, Time management, Problem solving and innovation
Interests / quote
I am passionate about Machine Learning & Data Science and also worked on various projects in this field. I am a fast learner and an energetic team member. Being a fresher in my filed, I am still learning and hoping to excel.
Verbatim text
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Noor ul huda Ajmal Details Technical Skills Soft Skills Reference Cell: 03336217468 Email: najmal.bese19seecs@seecs.edu.pk Address: PSCC Batrasi Mansehra Kpk , Pakistan Big data analytics Computer vision Data analysis Statistical analysis Python, keras Basics of python Aws, regex numpy, pandas, ocr Tensorflow, keras, pytorch Analytical thinking Time management Problem solving and innovation To be furnished upon request. Professional Profile I am passionate about Machine Learning & Data Science and also worked on various projects in this field. I am a fast learner and an energetic team member. Being a fresher in my filed, I am still learning and hoping to excel. Education BE Software Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.19 Internship Experience Optical Networking Technologies, ONT NUST ( 14-Jun-2022 - 12-Sep- 2022 ) working as ML-intern to improve the Optical communication of data using Machine Learning approaches. Fiverr ( 01-Aug-2022 - 05-Feb-2023 ) Freelancing as ML Engineer Projects Attendance system using face recognition An application of OpenCV that recognizes the student’s face and marks attendance. Multi-labeled Random-forest Enabled Softwarized Management for Photonics Switching Systems Paper published for an international ACP 2022 conference. It got accepted for presentation and it is currently under IEEE review. Stock Insight, Spring 2022 Stock market forecast of top performing PSX companies using Recurrent Neural Networks. Pattern Analysis in Optical Networks' Noisy Data, Summer 2022 An application of ML in Optical Networking to analyze and classify the noisy pattern in data.
AI enrichment
Noor ul huda Ajmal is a recent BE Software Engineering graduate with a focus on Machine Learning and Data Science. She has internship experience in ML for optical networking and freelance work, supported by projects in computer vision and stock market forecasting.
Skills (AI)
["Python", "Machine Learning", "Data Science", "TensorFlow", "Keras", "PyTorch", "OpenCV", "Pandas", "NumPy", "Computer Vision", "Big Data Analytics", "Statistical Analysis", "AWS", "Random Forest", "RNN"]
Status: ai_done