Location
Bowling Green, USA
Transforming complex data into actionable insights
Hi, I'm a Data Scientist with specialization in machine learning, AI, and data analytics. Currently a PhD candidate in Data Science at Bowling Green State University, I apply advanced analytics to solve real-world problems. My expertise spans research, industry applications, and innovative AI solutions.
NLP, Computer vision, Predictive modeling, Data analytics
Python, R, SQL, PyTorch, TensorFlow, Power BI
Representation learning, information extraction, AI for Healthcare and Education
NLU, Image Analysis, Semantic segmentation, Predictive Modeling
My technical expertise and domain knowledge
Natural Language Processing and Text Analytics
Time Series Analysis and Forecasting
Image Processing and Recognition
ETL and Data Pipeline Development
Showcasing my work in data science and artificial intelligence
My professional journey in data science and research
Conducting research on advanced machine learning algorithms for predictive analytics. Working on student success models and developing innovative AI solutions.
Applied machine learning and computer vision techniques to agricultural data. Developed crop simulation models and implemented deep learning for disease detection.
Worked in the Computational Language Understanding lab under Dr. Mihai Surdeanu. Focused on natural language understanding and name entity recognition systems.
What my colleagues and mentors say about my work
"Isaac's work on our student success prediction models has been exceptional. His innovative approach to data analytics has significantly improved our ability to identify at-risk students and provide timely interventions."
"As a PhD student, Isaac demonstrates exceptional technical skills and research capabilities. His contributions to our department's research initiatives have been valuable, showing great promise in the field of data science."
"Isaac's work in our NLP lab was characterized by creativity and technical excellence. His contributions to our name entity recognition extraction systems demonstrated both theoretical understanding and practical implementation skills."
"I had the pleasure of lecturing Isaac on cross-disciplinary topics in quantum mechanics combining mathematical modeling with machine learning. His ability to bridge these fields was impressive and led to novel approaches."
Feel free to reach out for collaborations or just a friendly hello