Hassan Siddque

Academic

Verbatim text

Hassan Siddque
~
+923454111654, hassansid2003@gmail.com
~
21 Area, Wah Cantt.
Linkedln: http_s:[lwww.linkedin.com[in[hassan-siddigue-9619192a3l
Education
Bachelor of Science (Computer Science)
Major:
t ata Science, Deep Learning, Data Analytics, Data Visualization, Datamining, Machine Learning
nd Software Project Management & Engineering.
[The Scholars Science College, Wah Cantt Punjab
F.Sc (Physics, Chemistry, Mathematics)
ISir Syed High School, Wah Cantt Punjab
Matriculation (Physics, Chemistry, Biology)
!Projects
Final Proiect: Humrahi - Smart Carpooling Solution for Urban commuting [Firebase, React Native, Pytorch]
Humrahi is a mobile-based carpoolng platform that efficiently connects riders and drivers using optimized ride-matching
algorithms and real-time route navigation, aiming to reduce commuting costs, traffic congestion, and environmental
impact.
~emester Projects:
~utomated Optical Inspection System for Surgical Instruments [Python, Keras, Tensor Flow, Flask, OpenCV):
Developed an Al-powered defect detection system for surgical instruments using deep learning. Achieved high accuracy
and deployed the model as a Flask API for real-time defect classification.
RNN with Attention-Based Encoder-Decoder for Urdu-to-English Machine Translation [PyTorch, LSTM, BLEU
Evaluation):
Designed an RNN-based encoder-decoder model with attention for Urdu-to-English translation. Preprocessed datasets,
optimized training, and evaluated performance using BLEU scores.
NU Society Link [C#, SQL) :
Built a university management system supporting 20+ societies with real-time notifications. Integrated database
~unctionalities and used Trello for agile project tracking.
Clothing Store Web Application [MERN Stack, MongoDB) :
Designed and developed an on line clothing store with user authentication, product management, and a shopping cart.
Implemented a responsive design for seamless cross-device experience and optimized database operations with a
dynamic front end.
Work Experience
~omputer Vision Intern, UAV Dependability Lab, Fast University, Islamabad.
I
Jun 2024 - Aug 2024
Working as a Computer Vision Intern on Machine Learning and Data Science.
'Skills & Tools
Professional Skills
Leadership, Interpersonal Skills, Team Collaboration, Communication, Time Management.
[Technical Skills
K:++, Python, Java, JavaScript, C#, MERN Stack, Flask, MS SQL, MongoDB, OpenCV, Deep
Learning, Computer Vision, Digital Image Processing, Docker, GitHub Workflow, DVC, Airflow,
MLflow.
"Achievements
~warded with Scholarship of 40% tuition fee at college level.
Trainings I Certification
Cloud WebApplication Builder, AWS Academy
Cloud Foundations, AWS Academy
"Activities
Management for 'Code Jail' in NaSCOn'24
~nterests
Playing video games, movies, sports
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