•Developed Dimensional Data Modeling: Designed and implemented dimensional data models for edge services in MySQL, resulting in a 25% increase in data retrieval efficiency.•Built Robust SQL Solutions: Created efficient SQL solutions, including complex stored procedures, to automate intricate data manipulations and reporting processes.•Enhanced Customer Engagement KPIs: Improved app retention by 6% by refining KPIs to better measure customer engagement, leveraging PowerBI to identify and track user behavior patterns.•Optimized App Performance: Increased app performance by 35% through the implementation of an A/B testing framework, significantly boosting customer engagement metrics.•Led Strategic Architecture Design: Headed a team of four in the strategic design and development of the Assets Edge app architecture, enhancing data flow and accessibility.•Developed MySQL Database Design: Designed a MySQL database for the app, clearly defining system entities and relationships, projected to enhance query throughput by 30%.•Collaborated with Cross-Functional Teams: Worked closely with cross-functional teams to identify data needs, delivering tailored database solutions that supported app functionality and improved user satisfaction.•Evaluated App Usage: Conducted thorough evaluations of app usage patterns across the user base, identifying key areas for improvement and optimizing the user experience.

• Increased data utility by 40% by streamlining data acquisition, cleansing, and transformation processes, employing analytics tools, and ensuring attention to detail.• Improved reporting capabilities by 30% by leading the development of new dashboards and reports, utilizing problem-solving skills for effective solutions.• Boosted operational efficiency by 25% by utilizing Python to refine data analysis processes and ensuring accurate data processing.• Contributed to more accurate business insights by ensuring high quality in data processing and analysis, applying attention to detail, and supporting data-informed decision making.

• Enhanced data collection speed by 50% by applying web scraping techniques to compile comprehensive datasets from various online sources, showcasing strong problem-solving skills.• Boosted data accuracy by 20% by meticulously preparing data for research projects, demonstrating attention to detail and supporting data-informed decision making.• Extracted hidden themes and patterns from text data by implementing LDA Topic Modeling using Python, contributing to informed decision making and research efficiency.• Laid groundwork for meaningful research by unraveling intricate data structures through advanced statistical methods and Python prowess, aiding in data-informed decision making.

As Business Analyst acted as liaison between information technology capacity and business objectives by supporting and ensuring completion of analytical, building, testing and deployment tasks of software product’s features. • Designed project charter, business case and problem statement to set scope and foundations for projects.• Conducted data and gap analysis to determine AS IS – To BE.• Executed data mining, statistical analysis, and data visualization tools to determine irregularities and bottlenecks.• Performed duties of project manager and scrum master, in addition to BA activities.• Implemented Agile/Scrum methodology to handle various activities of project. Responsible for planning and execution of overall tasks in each sprint.• Performed requirement gathering & analysis via, requirements workshops, storyboards, business process descriptions, use cases, scenarios, and workflow analysis.• Created UML diagrams, Business Requirement Document, Use Case documents and test cases.• Identified and streamlined dependencies, risks and issues throughout projects, defined process flows for configuration and integration.• Developed test cases, UAT plans and analyzed results during lifecycle of projects or service requests.• Established continuous process improvement cycle to support various departmental requirements.• Coordinated development of various procedures, training and other communications to help transition application to production support team.• Applied extensively on ITIL foundations Change Requests, Incident & Problem Management.• Created ad-hoc reports using statistical analysis via data collection to monitor processes.