Danial Nasir
FAST
· 2023
Email
ndaniel005@gmail.com
Phone
+923115495373
GitHub
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Academic
Program
Bachelor of Science (Artificial Intelligence)
CGPA
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Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
Gulraiz, Rawalpindi
DOB
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Career
Current role
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Target role
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Skills
Python, Pytorch, Flask, HuggingFace, HTML, CSS, Javascript, SQL, MySQL, PHP, Selenium, Scrapy, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, Socket programming, Docker, Kubernetes, Git, MLflow
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Danial Nasir +923115495373, ndaniel005@gmail.com Gulraiz, Rawalpindi LinkedIn: https://www.linkedin.com/in/danial-nasir-0885681b5/ Education FAST - National University of Computer and Emerging Sciences, Islamabad. Bachelor of Science (Artificial Intelligence) 2023 Major: Data Science, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Analytics, Data Visualization, MLOps, Knowledge Representation & Reasoning, Software Project Management & Engineering, Game theory, and Evolutionary Computing. Benchmark School System, Islamabad 2019 A Levels (Physics, Chemistry, Mathematics) Saint Mary's Academy, Rawalpindi 2017 O Levels (Physics, Chemistry, Computer Science) Projects Final Project: KisaanDost [Python, Pytorch, Flask, HuggingFace, HTML, CSS, Javascript] KisaanDost is a Mobile-first Web Application where farmers can have a phone call-style conversation in which they query chatbot to gain solutions to their problems. Semester Projects: Real time Object Tracking via YOLO with Webcam: Trained the yolov4 model to perform real-time object tracking using the webcam of a laptop. School Management System [SQL, MySQL, PHP, CSS, and HTML]: Designed a School Management System in PHP language and developed all its modules. Auto Sharing Tool for Social Media posts[Selenium,Scrapy, Python]: Automated sharing of posts on different social media platforms using web scraping in Python. This is a Python project that automates the sharing of a YouTube video. Speech Emotion Classification [Pytorch, Flask]: Implemented a classifier that can determine the emotions concealed in speech signals. Image Classification [Python, Pytorch]: Classify fruit images using the VGG-16 model. Work Experience AI/ML Intern, AIM Lab,FAST NUCES, Islamabad. Aug 2021 - Oct 2021 Worked on different data scraping, and cleaning tasks along with training ML models on it. Data Science and Business Analytics Intern, Sparks Foundation, Singapore. Apr 2022-May 2022 Skills & Tools Professional Skills Leadership, Interpersonal Skills, Communication. Technical Skills Python, Pytorch, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Flask, HTML, CSS, Socket programming, Docker, Kubernetes, Git, MLflow, Flask. Achievements Awarded with 70 % Scholarship in A levels. Won the campus cricket tournament. Trainings / Certification Machine Learning Specialization, Stanford, DeepLearning.AI Programming for Everybody (Getting Started with Python), University of Michigan Data Science Foundations, Google Activities Operations Head Full Send Athletics, Member Fast Alumni and Outreach Society, Social media head Fast Community Service Society Interests Cricket, Teaching, Hiking, Gardening, Travelling
AI enrichment
Danial Nasir is a recent graduate with a BS in Artificial Intelligence from FAST NUCES, specializing in data science and machine learning. He has completed internships in AI and data analytics, along with several academic projects involving deep learning models and web applications.
Skills (AI)
["Python", "PyTorch", "TensorFlow", "Scikit-learn", "SQL", "Flask", "Docker", "Kubernetes", "Git", "MLflow", "Computer Vision", "Natural Language Processing", "Data Science", "Machine Learning"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 458
Created: 1778112746