Aspiring SWE
Hey! I'm Saqif. I'm a Junior at Stony Brook University majoring in Computer Science pursuing a specialization in AI and Data Science. My experience includes internships in data analysis and software engineering, where I've developed a strong foundation in programming and data interpretation
Stony Brook University, University Scholars Program
08/2021 - 05/2025
Bachelor of Science, Computer Science; GPA: 3.6
Stony Brook, New York
Automated AI/ML data acquisition workflows, which increased recording efficiency by 17% and
increased acquisition volume from 5 to 20 recorded events (300% improvement).
Developing a data labeling pipeline for machine learning that uploads televised sport game footage for
data annotation and model training, with a focus on achieving a high accuracy rate to enable efficient
data analysis and valuable insights.
Conducted statistical analysis on ad performance for Facebook and Google Display platforms using
SQL, Tableau, DataGrip, and Excel, resulting in a 27% increase in click-through rates and a 13%
decrease in cost per acquisition.
Increased approval rates by 29% for high-value customers by analyzing patterns of customer
pre-approval denials linked to their credit scores that enhanced targeted strategies.
Analyzed data related to affiliate marketing, performed cost calculations using SQL and Looker to
evaluate value and effectiveness, resulting in a 31% increase in ROI and optimization of the affiliate
program.
Designed and implemented an auto captioning system utilizing Python and machine learning to
accurately transcribe videos with Arabic speech into English.
Integrated advanced NLP techniques to enhance Arabic-to-English translation accuracy, preserving
meaning and context.
Used PLY (Python Lex-Yacc) to implement a Decaf Syntax Checker, AST Builder, Type Checker, and Intermediate Code Generation modules. Leveraged Lex and Yacc tools for efficient lexical and semantic analysis, generating optimized intermediate code for subsequent compilation stages.
Led a team of 4 to develop a web application for tracking spending and savings, including features like weekly spending summaries, a recommendation engine, revenue delegation UI, and embedded stock charts, using Python (Flask), JavaScript, CSS, and SQLite databases.
Contact me!