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Sakheen Mumtaz

FAST · 2025
Email
sakheenmumtaz@gmail.com
Phone
+923232409021
LinkedIn
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

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Sakheen Mumtaz
+923232409021 , sakheenmumtaz@gmail.com
Ghouri Town, Islamabad. (only area and City name)
Linked In: linkedin.com/in/sakheen-mumtaz-ab 7296279
2021-
achine Learning, Artificial lntelligence,Neural Networks, Deep Learning, Data Analytics, Data
onwards
isualization, Software Pro·ect Mana ement & En
slamabad Model Colle e for Bo s 1-8/3, Islamabad
.Sc Ph sics, Chemistr , Mathematics
slamabad Model Colle e for Bo s 1-8/3, Islamabad
atriculation (Physics, Chemistry, Computer Science)
ro"ects
inal Pro ·ect: 30 Automod [Python,Javascript, React]
ar Modification & Visualization Platform in which Users can modify their cars (Color change, Wheels/Rims
hange etc) and , visualize it in 30 and get connected with experts and vendors to get quotes for
2d board game with four ghosts and one death eater named Pacman.
emes and Sentence-Level Multimodal Sentiment Analysis [Python]:
machine learning model was developed using TensorFlow, Keras, and PyTorch for sentiment analysis on memes and
entence-level multimodal inputs, achieving 70% accuracy and a 70%+ Fl score.
udio Emotion Recognition using CNN[Python, TensorFlow]:
Convolutional Neural Network model, trained on a Kaggle dataset, achieved 91% accuracy in recognizing emotions
ram audio data, contributing significantly to Kaggle's community use.
ANs and U-Net for Cartoon Image Generation via Image-to-Image Translation [Python, ML]:
he project evaluates five deep learning models Pix2Pix, U-Net, FCN, CycleGAN, and SegNet for converting real images
nto cartoon-style images, revealing Pix2Pix and U-Net are most effective for paired datasets.
esture Detection with Temporal Features and Neural Networks [Python, Pytorch, OpenPose,MediaPipe]
he project developed a deep learning-based hand gesture recognition system, achieving 92.3% accuracy,
hich has a
lications in au mented realit , robotics, and si n Ian ua e inter retation.
oftware Engineer Intern, Abyss Solutions, Islamabad.
Jul 2023 - Sep 2023
orking as a Software Engineer Scientist on Machine Learnin and Data Analyst
kills & Tools
ython, C++, Javascript, HTML, CSS, TensorFlow, Keras, PyTorch, Flask, SQL, NoSQL, OpenPose,
ediaPipe, U-Net, Pix2Pix, CycleGAN, SegNet, FCN
warded with Scholarship at school level.
rainings I Certification
ttended a multiple seminars on professionals works, ethics, personal development
achine Learning Course, Coursera , Coursera Certificate
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Sakheen Mumtaz is a recent graduate with a BS in Physics, Chemistry, and Mathematics, possessing practical experience as a Software Engineer Intern focused on machine learning and data analytics. The candidate has demonstrated proficiency in developing deep learning models for tasks such as sentiment analysis, emotion recognition, and image generation, achieving high accuracy rates in academic projects.
Skills (AI)
["Python", "TensorFlow", "PyTorch", "Keras", "Machine Learning", "Deep Learning", "Neural Networks", "Data Analytics", "Flask", "SQL", "NoSQL", "JavaScript", "React", "OpenPose", "MediaPipe", "U-Net", "Pix2Pix", "CycleGAN", "C++", "HTML"]
Status: ai_done
Provenance
Source file:
Created: 1777724106