Sareena Bilal

Researched and wrote blogs on global startup accelerators, used AI tools and SEO to optimize content, and tracked performance metrics to inform entrepreneurial educational resources.

Tested web and mobile salon & spa and GMB management apps with manual and automated QA, reported bugs in Jira, and supported high-quality releases while managing social media and HubSpot email campaigns to boost client outreach.

Published weekly music blogs and reviews, edited drafts for clarity and SEO, and maintained consistent, high-quality output using collaborative tools.

Wrote English articles on games, anime, films, and pop-culture trends, optimized posts for SEO, and ensured accuracy and readability for publication on WordPress.

Produced luxury lifestyle articles on travel, dining, and wellness, researched regional trends, and optimized content for online reach while maintaining brand voice.

Built responsive desktop applications with JavaFX and Swing, designed modular OOP code, integrated MySQL, and performed unit testing and performance tuning for production readiness.

Collected and validated data on senior living communities across the U.S., performed data QA and market research, and created reports and dashboards to inform strategic decisions.

Preprocessed datasets, applied feature engineering, and built/tuned models (Linear Regression, Decision Trees, Random Forests) achieving 85–95% accuracy and delivered stakeholder reports.

Developed and deployed classification, regression, and NLP models with Python, Scikit-learn, and TensorFlow, improving accuracy by up to 20% and integrating models via REST APIs.

Delivered NLP and deep learning solutions for global clients, fine-tuned models (BERT, T5) achieving 85–95% accuracy, and built dashboards and NLP pipelines using Streamlit and Plotly.

Grade: 3.8/4 (95%)

Completed a Bachelor of Science in Computer Science with a final GPA of 3.8/4, awarded Silver Medal and ranked in the top 1% of the class.