Data Science Program Practicum:Utilizing Termux on Android to collect and analyze real-time sensor data (e.g., accelerometer, gyroscope, heart rate), aimed at enhancing healthcare insights.Developing a dedicated web application that leverages sensor data for real-time monitoring, focusing on improving patient outcomes and personalized health care.Integrating machine learning models to analyze sensor data and predict potential health risks, offering actionable insights for both… Show more Data Science Program Practicum:Utilizing Termux on Android to collect and analyze real-time sensor data (e.g., accelerometer, gyroscope, heart rate), aimed at enhancing healthcare insights.Developing a dedicated web application that leverages sensor data for real-time monitoring, focusing on improving patient outcomes and personalized health care.Integrating machine learning models to analyze sensor data and predict potential health risks, offering actionable insights for both patients and healthcare providers. Show less

Queried and analyzed over 2M loan and employee records using MySQL, improving data processing efficiency by 20%. Performed data cleaning and feature engineering in Python, boosting model accuracy by 15%.Developed machine learning models (regression) in Python to forecast member satisfaction scores with 90% accuracy, identifying key operational drivers and enhancing decision-making for stakeholders.Designed and deployed a Power BI dashboard with DAX, enabling real-time, dynamic… Show more Queried and analyzed over 2M loan and employee records using MySQL, improving data processing efficiency by 20%. Performed data cleaning and feature engineering in Python, boosting model accuracy by 15%.Developed machine learning models (regression) in Python to forecast member satisfaction scores with 90% accuracy, identifying key operational drivers and enhancing decision-making for stakeholders.Designed and deployed a Power BI dashboard with DAX, enabling real-time, dynamic predictions, supporting the business and workforce teams in improving Q3 OKR performance. Show less

Managed over 1MM sales data using MySQL; conducted exploratory data analysis to identify variable distributions and correlation; performed essential data cleaning and feature engineering processes in PythonConducted machine learning models (Regression and Tree-Based Model) to predict the accurate sales in Python; provided data-driven recommendations about better market campaign strategy and optimized supply chain operationsDeveloped interactive dashboards using Tableau for analyzing… Show more Managed over 1MM sales data using MySQL; conducted exploratory data analysis to identify variable distributions and correlation; performed essential data cleaning and feature engineering processes in PythonConducted machine learning models (Regression and Tree-Based Model) to predict the accurate sales in Python; provided data-driven recommendations about better market campaign strategy and optimized supply chain operationsDeveloped interactive dashboards using Tableau for analyzing real-time data about customer characteristics and other business metrics for stakeholder and cross-functional team cooperation Show less

Leveraged 3MM+ data and employed advanced data analytics skills to visualize intricate spatial patterns of wetlands and adjudication decisions across four distinct regions of the United States in R StudioLed development of regression models and quantified tangible impact of proximity to wetlands on real estate property prices, explaining housing price variations (R^2) to the degree of ~67-69%Presented research findings to an audience of 50+ professors and students; translated complex… Show more Leveraged 3MM+ data and employed advanced data analytics skills to visualize intricate spatial patterns of wetlands and adjudication decisions across four distinct regions of the United States in R StudioLed development of regression models and quantified tangible impact of proximity to wetlands on real estate property prices, explaining housing price variations (R^2) to the degree of ~67-69%Presented research findings to an audience of 50+ professors and students; translated complex data insights into accessible and impactful visualizations for a diverse set of stakeholders Show less

Collaborated with team of business and engineer students to create a business plan for the Formula SAE Business Logic case competition, presented to the judges and placed 3rd overall of 89 teams Spearheaded competitive analysis by gathering and analyzing sales data from comparable companies, including Ferrari, Lotus, and General Motors, reducing the projected operating expense by ~10% Created analytics framework using pivot tables and VBA automation; designed informative representations… Show more Collaborated with team of business and engineer students to create a business plan for the Formula SAE Business Logic case competition, presented to the judges and placed 3rd overall of 89 teams Spearheaded competitive analysis by gathering and analyzing sales data from comparable companies, including Ferrari, Lotus, and General Motors, reducing the projected operating expense by ~10% Created analytics framework using pivot tables and VBA automation; designed informative representations of financial data in Excel Show less