- As the Data Product Manager, developed data strategies, built roadmaps, and delegated tasks, leading a team of three (data scientist, machine learning engineer, and software engineer) to achieve a 50% improvement in project delivery times.- Assisted in the design and execution of research studies, and quality improvement projects, increasing study efficiency by 25%.- Ensured compliance with data privacy and security regulations, including HIPAA, maintaining a 100% compliance rate when handling and sharing student information.- Applied advanced statistical techniques and machine learning algorithms to analyze datasets from our proprietary platform, improving the accuracy of mental health predictions.- Identified patterns in student mental health and wellness, leading to a 30% increase in proactive interventions and support strategies.- Developed and optimized predictive models to forecast student behaviors, enhancing prediction accuracy and reducing drop-out rates.- Created and delivered visually engaging dashboards, facilitating data-driven decision-making processes and improving decision turnaround time by 35%.-Stayed updated with the latest advancements in healthcare data analytics, contributing to a 20% increase in the implementation of emerging technologies and methodologies.

- Collected, cleaned, and preprocessed data from various sources, ensuring 95% data accuracy and integrity through rigorous validation and quality assurance processes.- Developed and maintained databases, data systems, and collection procedures, increasing data accessibility and efficiency by 40%.- Analyzed data to identify trends and insights, contributing to a 20% improvement in decision-making and operational efficiency.- Created and delivered reports, dashboards, and visualizations, effectively communicating data findings to stakeholders.- Troubleshot and resolved data-related issues, reducing data downtime by 30% and ensuring continuous support for data users.- Participated in cross-functional teams to enhance data-driven decision-making, leading to a 15% increase in strategic planning effectiveness.- Trained and mentored junior data analysts and staff on data management and analysis techniques, improving team performance and data handling capabilities.

During this brief period, I had the invaluable opportunity to delve into the realm of marketing strategies, exploring tactics such as coupon campaigns and customer segmentation. Through this experience, I gained insights into the diverse ways in which distinct customer groups respond to these strategies, providing me with a deeper understanding of consumer behavior and the multifaceted nature of effective marketing approaches

As a Graduate Assistant Instructor for Mathematical Foundations for Informatics, the main role is to assist the instructor in teaching the course and providing support for the students. It involves:- Leading Discussion Sessions- Grading assignments and exams- Providing office hours- Assisting with Lecture

As a Graduate Assistant Instructor for Python for Data Analysis, the main role is to assist the instructor in teaching the course and providing support for the students. It involves:- Leading Lab Sessions- Grading assignments and exams- Providing office hours- Assisting with Lecture- Developing course materials

As a Business Data Solutions intern, my main role was to assist the Data and Analytics team with various projects and tasks related to data analysis, data management, and business intelligence.Some specific responsibilities included:- Helping to create and maintain data visualizations and dashboards- Assisting with the implementation of data tracking and reporting systems- Participating in meetings and discussions with different departments to understand their data needs and provide solutions- Assisting with the documentation of data processes and procedures- Supporting other members of the Data Analytics team with various tasks as neededAs an intern, I was able to learn about the different techniques and technologies used for data analysis, data management, and business intelligence, and was able to develop skills like data visualization, data modeling, and data storytelling. I was also able to gain experience in data project management and work with cross-functional teams.

I provided guidance and academic support to undergraduate students in the areas of Finite Mathematics including probabilities, Markov chains, Matrices, and Calculus including linear regression.

During my internship as a Data Analytics Intern at FICE, I focused on honing my skills in Predictive Analytics, Machine Learning, and Python, particularly in the healthcare domain. This hands-on experience allowed me to effectively apply these techniques to real-world healthcare data, strengthening my proficiency in Python programming, predictive analytics, and data visualization. I developed a robust understanding of healthcare data analysis and its pivotal role in driving informed decision-making. Notably, I achieved a 95% precision rate in identifying potential heart disease cases using predictive analytics, and my data-driven recommendations led to a commendable 20% improvement in overall efficiency, providing a strong foundation in data analytics and machine learning techniques.