Syeda Areeba Nadeem

Academic

Verbatim text

Syeda Areeba Nadeem
+923325543557, syeda.areeba.nadeem@gmail.com
Chaklala Scheme-Ill, Rawalpindi.
Linkedln: https://www.linkedin.com/in/syeda-areeba-nadeem
.Sc (Physics, Chemistry, Mathematics)
rmy Public Schools and Colleges System (APSACS}, Humayun Road Rawalpindi
Matriculation (Physics, Chemistry, Computer Science)
rojects
inal Pro ·ect: Al-driven Soccer Tactical Analysis Web Application using Computer Vision and Deep Learning
[PyTorch, OpenCV, FastAPI, React.js, Ultralytics YOLO]
n Al-powered web app that uses computer vision for post-match soccer analysis, automating event detection, player
racking and team analysis. It provides data-driven insights through visualizations and automated reports.
emester Pro ·ects:
Computer Vision & Generative Al: Developed CycleGAN and Condit ional GAN for sketch-to-face generation;
implemented VAE and GAN for fake signature generation; built Vision Transformer for image classification from
cratch; developed soccer virtual ads on the pitch and sideboards using homography, CLIP, SAM, and inpainting.
atural Language Processing: Fine-tuned language models (XLNet, BERT, RoBERTa, mTS) for multi-label classification,
machine translation,
and
sentiment analysis,
including
multi-modal
analysis with
BERT
and
ResNet.
Object Detection & Video Analysis: Optimized YOL0v8 with SAHi for enhanced object detection; developed a hand
ign recognition application using Media Pipe and CNN with a custom Urdu hand sign dataset.
End-to-End ML & MLOps: Built a scalable ML pipeline with DVC, Airflow, and MLflow, deployed on Kubernetes using
GitHub Actions for Cl/CD; implemented a Flask-based house price prediction app on Vercel.
I App Development: Developed a Flask-based health management system with ML-powered disease prediction,
ppointment booking, and authentication; built a Tkinter-based image processing application with OpenCV and PIL.
I in Game Development & Optimization: Designed a clash-free timetable generator using a Genetic Algorithm;
implemented an A*-based image puzzle solver; developed a Pac-Man game in C++.
arallel Computing & Automation: Implemented parallel computing techniques with MPl/OpenMPI for shortest path
computation; utilized OpenCL for image processing; automated data scraping using Selenium and Scrapy.
Work Experience
achine Learning Intern, Fast University AIM Lab, Islamabad.
Developed and fine-tuned Urdu NLP models for sarcasm detection, achieving an 86% Fl
core and authoring a journal paper.
kills & Tools
June 2023 - Aug 2023
rofessional Skills
ime Management, Leadership, Adaptability, Diligence, Teamwork, Communication.
echnical Skills
chievements
/C++, Python, PyTorch, Scikit-learn, Machine Learning, Deep Learning, NLP, Computer Vision,
Flask, OpenCV, Docker, Cl/CD, Node.js, DVC, MLflow, Apache Airflow, Kubernetes, Git, GitHub
ctions, Hugging Face Transformers, FastAPI, HTML, CSS, R, Selenium, Scrapy, BeautifulSoup
on the Vision RD Hackathon at NSTP.
Published a conference paper at IEEE 4th International Conference on Computing and Machine Intelligence {ICMI).
Trainings I Certification
Encoder-Decoder Architecture and Image Recognition Basics - Online Course Certificates.
How Diffusion Models Work and ChatGPT Prompt Engineering for Developers - Short courses by DeepLearning.AI.
Creating Charts and Dashboards using Google Sheets - Coursera Certificate.
ctivities
Participated in bug catching event and Al hackathon at Nascon.
Online Gaming, Watching Anime and Movies, Playing Co-op Games and Board Games.
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