• Interfacing with business end-users to understand their challenges, translating the challenges into business requirements, implementing enhancements to the systems, executing test plans to ensure solutions meet the business need, and using analytics to identify trends.• Creating reports for end users to consume via self-service portals, trend analysis using SQL queries, and assisting with data loads for archival or end of cycle reconciliation.

Processing packages and managing distribution of the packages.

• Developed algorithms and implemented AI models to generate synthetic data for numerous domains, addressing challenges of limited real-world data availability.• Designed and integrated functionality allowing users to input CSV or JSON files encoding schema specifications, facilitating customization and flexibility in data generation.• Spearheaded efforts to ensure compliance with data privacy regulations by incorporating mechanisms to remove identifiable information from generated synthetic data.• Collaborated with cross-functional teams to enhance the robustness and accuracy of the synthetic data generation process, contributing to improved training datasets for machine learning models in real-world applications.

• Performing in-depth analysis of diverse student data to identify trends and variables affecting student visitation behaviour.• Leading the team in analysing data and communicating project deliverables, ensuring a collaborative and results-driven approach to data insights.• Developing and implementing machine learning models to predict student trends, enhancing the understanding of student engagement and retention factors, which can inform strategic decision-making.• Evaluating the health of Rutgers Recreation through data analysis, providing actionable recommendations to improve student engagement and retention, ultimately contributing to the organization's growth and success.• Delivering data-driven insights and recommendations that contribute to enhancing the student experience and optimizing the operations of Rutgers Recreation.

• Gathered and analyzed raw data for Lead Exposure, Maternal Mortality and Mental Health metrics for Princeton as well as New Jersey.• Examined strategies used in other cities to model proposals of prevention solutions.• Developed a community health improvement plan that provides goal and recommendations to advance local health outcomes.

• Provided infrastructure support for computer networks for the clients. • Analyzed trends in network and suggesting solutions with reports and charts on network utilizationand availability for the client.• Collaborated with Windows, Database, Unix Team to extend support of technologies for the client.• Acquired industry based hands-on training for Data Science, Machine Learning and Cloud Computing.

• Generated comprehensive analysis and recommended solutions to address complex business problems and issues using data from internal and external sources.• Created data visualization graphics, translating complex data sets into comprehensive visual representations by using Tableau.• Built customized applications to devise critical predictions, automate reasoning as decisions and calculate optimization algorithms using machine learning models such as regression, ARIMA, SVM.• Led the team of Data Science Interns in completing the given tasks within the deadlines with quality and precise work.