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%
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
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Bachelor of Science in Computer Science
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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
MY LATEST WORK. SEE MORE >
EXPERIENCE
Jan 2023-Present
XRSI – XR Safety Initiative
Aug 2023-Present
CUNY Tech Prep
Data Science Fellow
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Selected to participate in a competitive Data Science fellowship that enhances students' skills in data science-related topics such as data visualization,
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Focused on predicting Amazon product review ratings (1 to 5) using advanced Neural Networks and NLP techniques.
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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).
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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
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Orchestrating and maintaining backend APIs for a full-stack web application using WordPress, Python and Java.
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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.
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Wrote and optimized SQL queries to retrieve and manipulate data in the backend database.
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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
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Led a team of 5, achieving a 15% accuracy improvement in developing a predictive model for Ukraine's humanitarian needs.
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Collaborated with industry professionals, fostering dynamic teamwork, and applied advanced analysis tools for a 20% increase in model impact.
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Enhanced model interpretability, contributing to informed decision-making in humanitarian assistance.
July 2023-Aug 2023
Nordstrom
Machine Learning Engineer Intern
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Led cross-functional team in developing a cutting-edge full-text product search engine for Nordstrom's website.
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Developed and implemented a Category Builder with model, utilizing machine learning tools such as Spacy and
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NLTK, to create accurate category tags, significantly improving search specificity.
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Engineered a Smart Search Engine that revolutionized search results and recommendations, resulting in a 40%
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reduction in search time and increased user satisfaction.
Dec 2022-Jan 2023
RadicalX
Web Development Intern
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Developed and optimized HTML/CSS templates, enhancing website functionality and UX.
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Contributed to RadicalX's key platform features, leveraging Firebase, Node.js, and React.
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Integrated ReadyPlayerMe API into React, personalizing avatars for improved user experience and interactivity.
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Collaborated in code reviews, meetings, & brainstorming to enhance product features & platform performance.