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I'm a Master's student in Computer Science at Missouri State University, with a strong foundation in programming, data science, and software engineering. My academic journey has equipped me with skills in Python, Java, C, machine learning, and blockchain technologies, along with hands-on experience using frameworks like Django, TensorFlow, and OpenCV. I have a passion for solving real-world problems through technology, and I'm actively deepening my expertise in cloud computing, data security, and full-stack development. I strive to combine analytical thinking with innovation to build impactful digital solutions.
Anomaly-based classification model for detecting concurrency faults.
View PaperExploring vulnerabilities in computer vision and camouflage attacks.
View PaperUsed Spark + GBTRegressor for PM2.5 prediction in distributed systems.
View CodeTensorFlow + OpenCV real-time ISL recognition with webcam input.
View CodeRandom Forest model with 98.6% accuracy on terrain classification.
View CodeMastering complex queries, CTEs, window functions, and performance tuning.
Using Pandas, NumPy, and visual libraries to draw insights from data.
Building interactive dashboards and learning DAX for business reporting.