Welcome! My name is Nela Taeb, I recently graduated from UC Berkeley with a Bachelors in Data Science. My hobbies include traveling, reading, and fashion. I am very interested in finding an intersection between software engineering, data, development, and creativity. I am currently in search of a full time opportunity to help me refine my skills and grow as an engineer. Check out my resume, projects, and experiences below!
Leveraged machine learning and image processing techniques to analyze fashion trends from social media images. The project segments images, extracts latent spaces, performs clustering, and organizes images into clusters for trend analysis.
Developed and trained Perceptron and neural network models for digit classification and language identification, achieving 98% accuracy on MNIST digit classification and 89% validation accuracy on language identification using RNNs
Recreated a local version-control system modeled after Git with a CLI, implemented over 20 commands using file persistence and JUnit testing, achieving efficient time and space complexity.
Developed a 2D tile-based world exploration engine, implemented deterministic user interaction, and optimized the generation algorithm to create unique worlds.
Created a semantic lexicon for exploring historical word usage, designed a web-based interface and improved tool accuracy by incorporating synsets to describe semantic relationships between words.
Developed a sophisticated classifier capable of predicting a movie's genre by analyzing the frequency of key words within its screenplay. Implemented extensive data preprocessing and feature extraction to accurately capture the nuances of different genres.
Designed a classifier to distinguish between spam and ham emails. Implemented feature engineering, logistic regression model building, and accuracy evaluation.
Managed a project aimed at tracking the causes of climate change, focusing on cleaning and analyzing climate data to detect and predict global warmth levels. Created graphical illustrations to uncover patterns and causation in Earth's temperature changes through exploratory data analysis.
Conducted EDA on a housing dataset in Illinois to understand its structure and feature importance, built a linear model for predicting housing prices in Cook County, and achieved a 92% accuracy score.
UC Berkeley History
Aug 2023 - Dec 2023
Built a web app for the Project on Arms Trade History dataset, resolved content and formatting discrepancies, and conducted EDA using Pandas and Tableau to improve data accuracy and user engagement.
iDream Motors
Apr 2023 - June 2023
Developed a scalable web application using TypeScript and Node.js, designed a session management system, and integrated an inventory management system for handling high-volume transactions.
UC Berkeley EECS
June 2023 - Dec 2023
Served as an academic intern for a large introductory data structures class, created custom curriculum during office hours, and received a 97% teaching quality rating from students.
Cerevox
Aug 2023 - Dec 2023
Focused on backend engineering on an ETL platform that normalizes unstructured text data to be LLM ready for enterprises. Built a customer-facing Command Line Interface (CLI) to increase end-developer productivity.
Have a question or would like to reach out?
I'm always open to chat!