Hassan Wagar
FAST
· 2023
Email
hassanwaqar4830@gmail.com
Phone
03160525299
GitHub
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Academic
Program
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Year
2023
Education
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ayn Hassan Wagar 03160525299, hassanwaqar4830@gmail.com Islamabad LinkedIn: https://www.linkedin.com/in/hassan-waqar-74008a1a1/ [Education Bachelor of Science (Data Science) 2023 Major: Data Science, Machine Learning, Deep Learning, Data Analytics, Data Visualization, Datamining, Natural Language Processing, Artificial Intelligence, Database, Data Warehouse Punjab College of Science, Islamabad 2019 FSc (Physics, Chemistry, Mathematics) Siddeeq Public School, Rawalpindi 2016 [Matriculation (Physics, Chemistry, Mathematics, Biology) Projects Final Project: Recommendation system for E-commerce Businesses [Python, Pandas, NumPy, Jupyter Notebook, scikit-learn, PyTorch, MongoDB, Selenium, BeautifulSoup, React.js, HTML, CSS, Git, Flask, AWS EC2] This project leverages publicly available e-commerce data to perform time series analysis, revealing product trends land market insights for strategic decision-making for e-commerce businesses and investors. Semester Projects: leme Sentiment Analysis [Python, Pandas, NumPy, PyTorch, NLTK, spaCy, scikit-learn, Jupyter Notebook] Multimodal Neural Network to classify the sentiment of memes. Diabetes Detection using Eye Images [Python, Pandas, PyTorch, OpenCV, scitkit-learn, Jupyter Notebook] ‘convolutional Neural Networks were used to detect diabetes in segmented images. Malicious URL Detection [Python, Transformers, HuggingFace, Jupyter Notebook] rained BERT to classify urls as benign, spam, malicious or safe. IMESHJOIN: Near Real-time Data Warehouse [Java, SQL, MySQL, Eclipse] mplemented MESHJOIN to join multiple streams and populate a Data Warehouse. GYM Database Development [PHP, SQL, HTML, CSS] Designed and implemented a relational database for a local gym with integrated dashboard. Extractive Summarization of Urdu Videos [Python, Pandas, NumPy, NLTK, Jupyter Notebook] Used NLP techniques to summarize the general idea behind videos in Urdu. Multi-Node Hadoop Cluster [Python, Azure, Hadoop] (Created multi-node clusters on Azure to Map-Reduce large files using the Hadoop framework. B and B-Plus Trees [C++, Visual Studio] mplemented B and B-Plus Trees data structures to store data. Work Experience Skills & Tools Professional Skills ‘Communication, Teamwork, Time Management, Active Listener, Adaptibility, Problem Solving Technical Skills Python, Pandas, NumPy, scikit-learn, Matplotlib, Plotly, PyTorch, Transformers, HuggingFace, MongoDB, Flask, React.js, HTML, CSS, Selenium, NLTK, spaCy, OpenCV, C++/C, SQL, MySQL, Visual Code, Visual Studio, Anaconda, Jupyter Notebook, Eclipse Trainings / Certification Deep Learning with PyTorch by Ismail Elezi certification (DataCamp) Activities Founder and President of the FAST Chess Club (2021) Team Member of the FAST-Gaming Club (2021) Team Member and Organizer of Animecon at NasCon (2022) House Head at FAST Television and Culture Society (2023) Team Member and Organizer of AniCon (2023) Interests ideo Games, Chess, Movies, Series, Music, Content Creation
AI enrichment
Hassan Wagar is a 2023 Data Science graduate with practical experience in machine learning, deep learning, and data engineering through various academic projects. He has demonstrated proficiency in building recommendation systems, NLP models, and data warehouse solutions using Python, SQL, and cloud technologies.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "PyTorch", "Scikit-learn", "Natural Language Processing", "SQL", "MongoDB", "Flask", "React.js", "AWS EC2", "Hadoop", "Data Visualization", "Computer Vision", "Git"]
Status: ai_done
Provenance
Source file: —Created: 1777726226