Responsibilities● Led and supervised a team of 3 business data analysts through the complete end-to-end cycle of data collection, cleansing, analysis, and the development of and implementation of data models, enabling the generation of actionable insights for management to drive better business decisions.● Drove business objectives by conceptualizing tailored data analysis strategies and methodologies, enhancing the effectiveness of data analysis and reporting processes in alignment with organizational needs and goals.● Oversaw analytics operations, ensuring data accuracy and completeness by identifying and resolving data quality issues, defining company-wide metrics and data sources, and strategically implementing analytics solutions to optimize organizational performance through effective tool utilization.● Conducted comprehensive Power BI training sessions to diverse teams, cultivating a mastery of data visualization, while concurrently mentoring interns by offering hands-on guidance data analysis and visualization techniques, nurturing their educational and professional development.● Managed end-to-end execution of various data analytics projects, encompassing effective communication of analysis results to stakeholders, proactive recommendations for process improvement, and collaboration across departments to identify and address business needs.Achievements● Generated savings of millions in USD by overseeing cost-effective measures in development and consultancy, alongside innovating a meticulous data collection process to maintain data integrity within the company’s data lake.● Successfully managed multiple projects within budget constraints despite limited headcount, while maintaining exceptional staff morale and driving a remarkable 100% increase in productivity.● Strategically addressed company-wide sales data discrepancies, ensuring, and maintaining an unblemished record of 100% data accuracy, integrity, and completeness.

Responsibilities● Collaborated closely with key stakeholders to discern and align with the business requirements for analysis, design, and implementation of business analytics and reporting solutions.● Identified and resolved data collection issues by leveraging Power Apps and MS Forms for user input, executing data capture through MS Flows, and optimizing storage within SharePoint Sites. Implemented data backup procedures across various data sources, leveraging customized Python code to seamlessly automate uploads into AWS S3.● Designed and implemented a data pipeline for storing a significant volume of company data in AWS S3, utilized AWS Glue for metadata management, and employed AWS Athena to query this extensive dataset using standard SQL.● Generated compelling Power BI reports and dynamic dashboards by integrating diverse data sources and applying data mining, data modeling, and statical methods for comprehensive data analysis, enabling insightful and impactful data-driven decisions across the entire organization.● Established and maintained a Power BI on-premises data gateway, ensuring monthly data refresh for reports and dashboards, meticulously ensuring their accuracy, reliability, and timely delivery to executives and stakeholders. Managed the comprehensive development and maintenance of systems documentation, providing impactful training and support to stakeholders.Achievements● Championed a groundbreaking centralized system, achieving 99% data accuracy, eliminating redundant reports, and driving an exceptional 80% surge in operational efficiency.● Devised and implemented Python code for data backup, achieving a remarkable reduction in processing time from one month to less than a week.● Effectively delivered and circulated streamlined Power BI reports with accurate data to key stakeholders across the organization, resulting in an impressive 80% department utilization, driving the company’s transition towards becoming a data-driven organization.

Responsibilities● Designed, developed, and deployed Government Application Projects, utilizing Java Servlet framework for backend operations, MS SQL Server for robust data storage, and Angular JS for frontend development, ensuring an integrated and efficiency system.● Explored and researched a diverse range of technologies, such as ReactJS, IONIC, Jenkins (CI/CD), GitLab, Flutter, KS Web, Docker, REALM, AWS Dynamo DB, Myanmar Text to Speech, Myanmar Typing Tutor, NLP, MS Power BI, Power Apps and KNIME Analytics to assess their potential for enhancing functionalities or improving existing systems.