Hello,

I'm Fuad Hassan.

Data Science major Temple University

About Me Resume Work Experience Projects
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About Me

I'm studying Data Science with a focus on Computational Analytics at Temple University.

Currently, I am researching under Dr. Pang, focusing on optimizing and correlating trading strategies using GenAI techniques.

Additionally, I am working for Dr. Rosen from the Finance dep., where I develop automated solutions to streamline financial data extraction from SEC.gov

Work Experience

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Cloud Data Engineer Intern

May 2024 - Aug 2024

Comcast

    During my internship, I successfully increased operational efficiency by 30% through the development of a real-time analytics dashboard and optimizing a RAG model, improving response accuracy by 25%

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Data Automation and Analysis

July 2023 - Present

Temple Finance Department (FSBM)

    Automated financial data extraction and processing, streamlining workflows and ensuring up-to-date, accurate datasets.

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IS Technology Intern

May 2023 - August 2023

Children's Hospital of Philadelphia (CHOP)

    Resolved technical issues, ensuring smooth operations, and provided exceptional service to end-users.

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Python Teaching Assistant

August 2022 - December 2022

Temple University College of Science and Technology
Part-time

    Guided over 40 non-technical students through data science concepts, enhancing their understanding and engagement.

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Software Engineer

June 2022 - December 2022

Temple HCI Lab

    Improved collaborative digital tools by customizing user interfaces and integrating data systems using React.js and Firebase.

Cashier

June 2020 - November 2020

BJ's Wholesale Club • Part-time • 6 mos

Projects

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GitGenius

LangChain, RAG

    Developed a tool that clones GitHub repositories and creates a document retrieval system using FAISS, OpenAI embeddings, and LangChain for natural language queries.
    github repository

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Global-Insights-Clustering

Unsupervised learnings

    Created a clustering system using unsupervised learning to analyze global economic, social, and geopolitical trends, enabling informed decision-making.
    Link to the page github repository

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Movie Recommendation System

Python, NLP, Vector-Search, Streamlit

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House Price Prediction

Machine Learning, Python, Scikit-Learn

Developed a machine learning model using Scikit-Learn to accurately predict house prices based on regression techniques

Technical Skills

Languages:
python c java javascript

Frontend/Backend Dev:
react css3 nodejs flask

AI/ML:
pytorch tensorflow pandas scikit_learn seaborn

Database:
elasticsearch oracle mysql sqlite firebase

Tools & Technologies:
aws docker git bash figma postman kibana

Other:
linux

Education

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Bachelor of Data Science Degree

Aug 2021 - Present

Temple University

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High School Degree

Aug 2018 - June 2021

North Penn High School

Contact

I'd Love To Hear From You.