As a Master of Science in Data Science candidate at NJIT with a 4.0 GPA, I have a strong foundation in machine learning, deep learning, and predictive analytics. My experience includes programming in Python, R, and SQL, as well as working with big data technologies like Hadoop, Apache Pig, and Spark. I am also skilled in data visualization tools such as Tableau and Power BI, and proficient in ETL pipelines and database management with MySQL and MongoDB.

I have applied my skills in real-world projects, including disaster tweet classification using LSTM, a movie recommendation system with collaborative filtering, and enhanced diabetic retinopathy detection using deep learning. Additionally, my experience at Cognizant Technology Services allowed me to develop customer churn prediction models, optimize data pipelines, and analyze flight data using distributed computing frameworks.

With expertise in feature engineering, model evaluation, and hyperparameter tuning, along with a strong analytical mindset, I am eager to contribute to your team. I welcome the opportunity to discuss how my skills align with your needs.