• Developed and delivered undergraduate and graduate-level courses in Data Science, covering topics such as statistical analysis, machine learning, data mining, and data visualization.• Designed curriculum and course materials, including lecture slides, assignments, projects, and assessments, to facilitate student learning and engagement in Data Science.• Created and maintained databases for course projects and assignments, incorporating industry-standard RDBMS platforms such as MySQL, PostgreSQL, SQL Server, or Oracle.• Mentored and advised students on research projects, capstone projects, and thesis work, guiding experimental design, data collection, analysis, and interpretation.• Enhanced the overall learning experience, contributing to the college's reputation for producing industry-ready graduates.

• Collaborated with cross-functional teams to gather requirements, design system architectures, and implement new features and enhancements.• Developed and maintained Java-based web applications using frameworks such as Spring MVC, Hibernate, or Apache Struts.• Designed and optimized database schemas, wrote SQL queries, and utilized ORM frameworks like Hibernate to interact with relational databases such as MySQL, PostgreSQL, or Oracle.• Implemented security measures such as authentication, authorization, and encryption to safeguard sensitive data and prevent unauthorized access to Java applications.• Integrated third-party libraries, APIs, and services into Java applications, enhancing functionality and reducing development time by leveraging existing solutions.• Conducted code reviews, performed unit testing, and participated in continuous integration and deployment (CI/CD) processes to ensure code quality, reliability, and maintainability.• Diagnosed and resolved technical issues and bugs reported by QA engineers or end-users, conducting root cause analysis and implementing effective solutions on time.• Participated in Agile/Scrum ceremonies such as sprint planning, daily stand-ups, and retrospective meetings.

• Collaborated with cross-functional teams to understand data requirements and translate them into technical specifications for ETL processes.• Participated in data modeling and schema design activities to ensure efficient storage and retrieval of data in data warehouse systems.• Assisted in performance tuning and optimization of ETL processes to improve data processing speed, resource utilization, and scalability.• Documented technical specifications, data workflows, and process diagrams to facilitate knowledge sharing and collaboration among team members.

• Conducted system analysis and implementation to maintain and improve computer systems.• Planned computer systems using information engineering and structured analysis.• Improved systems with the addition of new features and infrastructure.• Collaborated with senior engineers to design and develop software solutions.• Assisted in coding and debugging software applications using Java, Python, or JavaScript.• Participated in the testing and deployment phases, ensuring the reliability and efficiency of the software products. • Contributed to the documentation of software design, architecture, and implementation details.• Provided technical support and troubleshooting assistance to end-users as needed.• Actively participated in team meetings, brainstorming sessions, and code reviews to ensure high-quality deliverables and foster collaboration.