● Developing ETL pipelines using Python and SQL integrating datasets, enhancing reporting accuracy and lowering inconsistencies.● Creating Power BI dashboards to visualize business metrics, driving a 15% improvement in decision-making speed.● Conducting Data Cleansing and Statistical Analysis, ensuring 95% reliability in reports across business units.

Coursework: IS 4440-001 and IS 6640-001 - Networking and Servers ● Integrated AI and Python-based system to deter plagiarism by embedding Invisible characters in quiz content., deterring plagiarism by complicating copying and pasting processes, thereby promoting academic integrity.

● Evaluated Network Labs and enriched learning outcomes for a class of 100 students by providing constructive feedback on assignments, contributing to a more impactful and engaging educational experience.

● Analyzed market trends using Advanced Excel techniques including Pivot tables and VLOOKUP commands.● Implemented ETL processes with Python scripts, significantly reducing errors and processing time.● Engineered efficient Data Pipelines with Apache Spark to optimize processing speeds and scalability.● Wrote SQL queries to extract and analyze large datasets, ensuring data accuracy.● Attained 10% improvement in process control and accuracy by monitoring key performance indicators (KPIs).● Designed interactive Tableau dashboards, enhancing data visualization for stakeholders.● Increased operational efficiency by 12% through Excel and SQL analysis to identify Process Improvements.● Led a data governance initiative to establish standardized quality metrics, ensuring consistency and reliability.● Achieved Reporting accuracy using Tableau Analytics for insights into real-time market trend.

● Conducted Excel and SQL analysis to resolve shipping constraints, enhancing logistics operations.● Created data visualizations in Tableau, converting complex data into actionable insights for better decision-making.● Developed reporting tools in SQL, reducing manual workload by 22% and improving data accuracy.● Implemented data-driven strategies for logistics, leading to improvement in on-time delivery rates.● Computerized reporting systems using Power BI, resulting in reduction of manual data entry.

● Optimized MySQL and PostgreSQL databases, enhancing query performance and reducing response time.● Tested MySQL transactional data models, improving data manipulation efficiency.● Regulated MySQL database normalization, enhancing data integrity and storage effectiveness.● Configured MongoDB clusters, ensuring efficient data storage and retrieval for logistics tracking systems.● Implemented backup and recovery for MS SQL databases effecting in system resilience and data protection.