Danial Sadiq
FAST
· 2024
Email
danialsadiq.02@gmail.com
Phone
03365455541
GitHub
—
Academic
Program
—
CGPA
—
Year
2024
Education
—
Address
—
DOB
—
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 Sadiq 03365455541 House 498 Street 26 Sector F Defence Villas DHA1 , Islamabad LinkedIn: Education FAST NUCES BS(AI) Artificial Intelligence, Computer Science, Deep Learning Roots Physics, Computer Science, Maths St.Marys Academy Physics, Computer Science, Maths Projects Final Project: AFib Detection Through Fingertip Sensor (React Native, SQL, Arduino) Predicit Afib Heart disease after running ML model on features predicted from The features we get after applying Deep Learning Models from pulse reading from sensor Semester Projects: Crypto Price Predictor (LSTM, Numpy, Pandas) Pre-processing of dataset+sentiment analysis+LSTM model for sequential data Multi-model meme classification (Flask, Numpy, Pandas, Tensor, Keras) It takes image and caption as two inputs for the sentimental analysis formultimodal. Work Experience Data Science Intern, Code Clause July 2023 - August 2024 I worked on chatbots, ML Models and Data Analysis Skills & Tools Professional Skills: Good Communication, Team Player, Punctual, Leadership Technical Skills: Machine Learning, Deep Learning, DevOps, MLOps, Natural Language Processing, Computer Vision Achievements Nascon's Got talent RunnerUp Table tennis, Junior National Championship bronze medal Yale's Got Talent Winner Training / Certification Yale Young Global Scholar Applied sciences and Engineering Activities Chess Table Tennis Interests Chess, Piano, Table Tennis danialsadiq.02@gmail.com https://www.linkedin.com/in/danial-sadiq-870539245/ Majors: A levels ( ) O levels ( )
AI enrichment
Danial Sadiq is a recent BS graduate in Artificial Intelligence with internship experience in data science, focusing on machine learning, deep learning, and NLP. He has practical project experience in building chatbots, predictive models, and multimodal classification systems using Python, React Native, and SQL.
Skills (AI)
["Machine Learning", "Deep Learning", "Natural Language Processing", "Computer Vision", "Python", "React Native", "SQL", "LSTM", "Flask", "TensorFlow", "Keras", "MLOps", "DevOps", "Data Analysis"]
Status: ai_done
Provenance
Source file: —Created: 1777723988