Yasin Zahir
Valencia,CA
Summary
Objective:
Technically proficient professional with a background in computer science, seeking a Library Assistant position to apply strong technical skills, problem-solving abilities, and attention to detail. Experienced in managing digital resources, data entry, and working with various software systems, I bring a solid understanding of computer applications relevant to library operations. With a commitment to providing excellent support to library patrons and staff, I aim to leverage my computer literacy, research skills, and organizational abilities to enhance library services and ensure smooth day-to-day operations.
Overview
1
1
year of professional experience
Work History
Full Stack Developer
RHYMZ INC.
02.2024 - Current
- Worked with back-end developers to design APIs.
- Integrated third-party APIs to enhance functionality and improve overall user experience on web platforms.
- Used NodeJS, ORM and SQL/No-SQL to develop and manage databases.
- Enhanced user experience by developing and implementing a responsive front-end interface for web applications.
Education
B.S. COMPUTER SCIENCE -
CALIFORNIA STATE UNIVERSITY NORTHRIDGE
12.2023
Skills
- Python
- Java
- C
- MYSQL
- Kotlin
- HTML
- CSS
- Bash
- Linux
Projects
IMDB Rating Predictor (Machine Learning), Built a model to predict the IMDB rating score of over 5000 popularized movies, using features such as title, released year, alphabetized certificate, runtime in minutes, genre, IMDB rating, overview of the movie, a meta-score earned by the movie, and the director to find high-ranking movies Understanding Correlations between Stroke Data and Health Indicators (Data Mining), Explored the relationship between health indicators and stroke incidence, utilized Kaggle dataset, employed data preprocessing, EDA techniques, and developed machine learning models for prediction. Online Store Database (Database Design), Designed an online store database using Pycharm and MYSQL, with registered users being able to post, buy and review items, providing one review per item, three items and three reviews per day, while items can have multiple reviews with a score and remark, and existing reviews are not modifiable by users. Bart Text Summarization for News Articles (Data Mining), Trained and built an abstractive text summarization model using BART architecture on CNNDailyMail dataset. The dataset includes 311,971 entries, and preprocessing steps involve fitting each sub-dataset into their respective DataFrames and applying the tokenize function to each article. The BART model uses the Byte-Pair Encoding algorithm, and the ROUGE metric is used for model evaluation. The trained model gives results for input texts.
Coursework
- Concepts of Programming Languages
- Database Design
- Senior Design Project Lab
- Algorithm Design and Analysis
- Data Mining
- Machine Learning
Additional Information
Soft Skills
• Technical Proficiency: Expertise in computer systems, digital resource management, and library software applications.
• Communication: Clear and effective verbal and written communication for assisting patrons and collaborating with staff.
• Problem-Solving: Strong ability to troubleshoot technical issues and provide efficient solutions to patron inquiries.
Languages
English
Native or Bilingual
Persian
Native or Bilingual
Pashto
Native or Bilingual
Spanish
Professional Working
Timeline
Full Stack Developer
RHYMZ INC.
02.2024 - Current
B.S. COMPUTER SCIENCE -
CALIFORNIA STATE UNIVERSITY NORTHRIDGE