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I'm
Said Lfagrouche

Aspiring Software Engineer & AI / ML Engineer
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PROFESSIONAL SKILLS

MY KNOWLEDGE LEVEL IN SOFTWARE

Java/JavaFX

Python

95%

90%

++C

85%

JavaScript

80%

HTML/CSS

95%

SQL

Unix/Linux

95%

90%

WordPress

93%

Docker

UI/UX

Machine Learning

80%

93%

90%

Objected-Oriented Programming

98%

PROFESSIONAL 

About

As an aspiring software engineer and ML Engineer, my passion lies in developing innovative solutions for complex challenges. Proficient in machine learning, web development, UI/UX design, I am committed to staying at the forefront of technology trends. My expertise extends to databases, including MySQL, NoSQL, and MongoDB, along with proficiency in version control using Git and GitHub. I am adept at utilizing tools such as JIRA and Figma for streamlined project management and design.

 

In the realm of backend development, I have hands-on experience with Django, Flask, and various Java frameworks like Springboot, and other backend technologies. My machine learning toolkit comprises TensorFlow, Pandas, scikit-learn, and a continuous exploration of cutting-edge techniques. I am dedicated to pushing the boundaries of what's possible in the dynamic landscape of machine learning and software engineering.

Education

Brooklyn College    Brooklyn, NY

  • Bachelor of Science in Computer Science

  • Expected Graduation in May 2025

GPA: 3.8/4.00

Awards & Honors: Dean's List , Elaine Friedman Scholarship, Spring 2023 Stipend Award recipient

Relevant Coursework: Java, Python, SQL, Data Structures and Algorithms, Discrete Structure, Linear Algebra, Calculus

PORTFOLIO

PORTFOLIO

MY LATEST WORK. SEE MORE >





EXPERIENCE
 

Jan 2023-Present

XRSI – XR Safety Initiative

Aug 2023-Present

CUNY Tech Prep

Data Science Fellow

  • Selected to participate in a competitive Data Science fellowship that enhances students' skills in data science-related topics such as data visualization,

  • Focused on predicting Amazon product review ratings (1 to 5) using advanced Neural Networks and NLP techniques.

  • Achieved a commendable 90% accuracy through a Deep Neural Network (DNN) with Bag of Words vectorization on a 10% sample of Kaggle's extensive dataset (54.41 GB).

  • Demonstrated the project's predictive capabilities, highlighting the effectiveness of the implemented DNN and its ability to extract meaningful patterns from extensive data.

Software Engineering Intern

  • Orchestrating and maintaining backend APIs for a full-stack web application using WordPress, Python and Java.

  • Collaborate with Consulting stakeholders and front-end engineers to design and implement new features, including

    APIs that expose JSON data to the frontend leading to a 25% enhancement in frontend performance.

  • Wrote and optimized SQL queries to retrieve and manipulate data in the backend database.

  • Achieved a 40% reduction in bugs by implementing a suite of reusable unit tests through rigorous test-driven

    development, elevating the software's quality and reliability.

Aug 2023-Dec 2023

Guidehouse

Machine Learning Consultant Intern

  •  Led a team of 5, achieving a 15% accuracy improvement in developing a predictive model for Ukraine's humanitarian needs.

  • Collaborated with industry professionals, fostering dynamic teamwork, and applied advanced analysis tools for a 20% increase in model impact.

  • Enhanced model interpretability, contributing to informed decision-making in humanitarian assistance.

July 2023-Aug 2023

Nordstrom

Machine Learning Engineer Intern

  • Led cross-functional team in developing a cutting-edge full-text product search engine for Nordstrom's website.

  • Developed and implemented a Category Builder with model, utilizing machine learning tools such as Spacy and

  • NLTK, to create accurate category tags, significantly improving search specificity.

  • Engineered a Smart Search Engine that revolutionized search results and recommendations, resulting in a 40%

  • reduction in search time and increased user satisfaction.

Dec 2022-Jan 2023

RadicalX

Web Development Intern

  • Developed and optimized HTML/CSS templates, enhancing website functionality and UX.

  • Contributed to RadicalX's key platform features, leveraging Firebase, Node.js, and React.

  • Integrated ReadyPlayerMe API into React, personalizing avatars for improved user experience and interactivity.

  • Collaborated in code reviews, meetings, & brainstorming to enhance product features & platform performance.

CONTACT
EXPERIENCEO
CONTACT

If you are interested in working together or have any questions, feel free to reach out to me through any of the channels below. I would love to hear from you!

THANK YOU FOR YOUR MESSAGE!

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