As a graduate student pursuing a Master of Science in Data Analytics from San Jose State University, I have developed a strong foundation in machine learning, deep learning, big data applications, data mining, statistics, and data visualization. Additionally, I have a passion for utilizing my skills and knowledge to tackle practical issues by generating data-informed recommendations, collaborating with individuals, and identifying correlations between data points. I have undertaken several projects in Computer Vision, NLP, Sentiment Analysis, Recommendation Systems, Anomaly Detection, and Prediction Models. Currently, I am focused on developing a Transformer-based Chatbot with Reinforcement Learning and exploring AI Testability, Causal Inference, and Deepfake Video Detection. In my previous roles, I was responsible for developing and implementing machine learning models to optimize the performance of various processes sourced from data analysis. I have experience working with large datasets, cleaning and preprocessing data, and feature engineering to build accurate models. I have also deployed models and monitored their performance to ensure they continue to deliver accurate results. Skills: Programming Languages: Python (TensorFlow, Keras, PyTorch, scikit-learn, OpenCV, Pandas, NumPy), C, MATLAB Databases: MySQL, Oracle, MS SQL Server, PL/SQL, Neo4j (NoSQL), AWS Redshift Big Data Technologies: AWS (S3, Athena, Lambda, Glue, EMR, SageMaker), MapReduce Machine Learning: Classification, Regression, Clustering, Time Series Analysis, Reinforcement Learning, NLP, LLM Data Visualization: Tableau, PowerBI, AWS QuickSight, Google Data Studio, Excel, Microsoft Office Studio Project/ Program Management Tools: Jira, JMP, Perforce, Smartsheet, ClickUp