• 🎓 Graduated with a Master's in Data Science from New Jersey Institute of Technology (GPA: 4.0).
• 💼 Currently a Data Scientist, with prior experience as a Business Analyst and Business development, specializing in leveraging data-driven strategies to solve complex problems.
• 🌟 My journey into data science stems from a desire to transform raw data into actionable insights. I transitioned from sales, where I analyzed customer patterns, to creating predictive models that drive efficiency and decision-making.
• 📊 Skilled in developing AI-powered solutions, I specialize in leveraging Python and SQL for data analysis and predictive modeling, while occasionally utilizing CUDA and Hadoop for processing large-scale datasets.

I have extensive experience in data science and analytics, with a proven track record of delivering impactful projects. As a Research Assistant at the New Jersey Institute of Technology, I led the development of advanced deep learning models to analyze harmful algal blooms in New Jersey lakes. By integrating satellite imagery and ground sensor data, I conducted data collection, processing, and analysis to derive actionable insights. Previously, as a Business Analyst at Capline Service, I developed predictive billing models that optimized healthcare revenue cycles, leveraging SQL and data visualization tools to improve efficiency by 15%.

• Developed an AI-based exam grading system that integrated OCR and generative AI for pattern recognition, improving grading accuracy by 20% across 1,200+ assignments while enhancing student satisfaction.
• Created a real-time ASL interpreter, achieving 96% accuracy with deep learning models. Optimized runtime efficiency by reducing data size by 87% and deployed the solution for accessibility enhancement.
• Designed a climate modeling system using state-of-the-art architectures, including UNet and Vision Transformers, achieving 94% predictive accuracy in temperature forecasting through advanced attention mechanisms.