- Time-series data specialist with strong math and statistics background and 7+years of experience using predictive modelling, signal processing, data processing and mining algorithms to solve challenging problems. - Highly skilled in data visualization, data wrangling, Machine Learning, Deep learning modelling, and mathematical models. Conducted exploratory sensor data analysis and implemented data models and algorithms. Conducted hypothesis testing with sensor arrays.-Develop algorithms that combine modeling efforts with real-time control implementation.-Write quality technical sections describing feature engineering, modeling approaches, and model evaluation.- Investigate the impact of artificial intelligence on team dynamics, including workload, trust and performance.-Human-Machine Teaming: Human state estimation enabled control system for autonomous assets; Analytics to determine real-time cognitive workload and human trust from biosignal data- Worked on improving the diagnosis and treatment for tuberculosis, HIV, and HIV-associated pulmonary infections in multiple international settings using statistical and machine learning techniques (e.g., clustering, classification and regression) to identify the trends and make predictions. - Compared ECG measurements between a simple 6-lead mobile ECG biomedical device and a conventional 12-lead ECG biomedical device for measuring cardiac repolarization. I improve classification models, create questionnaires, develop results-based recommendations, and create reports, charts, tables, and other visual aids.- Worked as a statistics instructor several times, helping over 100 students quantitatively understand the climate by applying statistical methodologies and feature extraction procedures such as principal component analysis to real-world data using various programming languages.