Asif Mohammed Email and Phone Number

With over 5 years of experience as a Data Analyst and Business Intelligence Developer, I excel in converting complex business logic into user-friendly dashboards, reports, and visual presentations. My expertise lies in utilizing Power BI and SQL Server to support Sales & Marketing departments by providing actionable insights and data-driven solutions.I have designed OLTP and OLAP databases, developed ETL packages, and created tabular models to streamline data processing and integration. Additionally, I installed and configured both Enterprise and Personal Gateways in Power BI Services to ensure seamless data flow and accessibility. Utilizing Power BI, Power Pivot, Power View, and Power Map, I designed interactive scorecards and dashboards, implementing DAX functions to enhance data visualization and reporting efficiency.My experience encompasses developing complex Power Query, PowerPivot, DAX, and MDX queries, validating and optimizing DAX queries using DAX Studio, and creating and altering SQL tables for Power Apps and Power BI reports. Automated email workflows for Power BI reports were established using Power Automate. I led Power BI projects to analyze business requirements, design technical documents, and migrate projects from Teradata to Azure Synapse in an Agile environment.Report migration and development included moving Cognos reports to Power BI, developing reports on Azure Synapse, and working on Cornerstone REST APIs for Power BI report analysis and documentation. SSAS Cubes were designed, MDX queries were developed, and parameterized, drill-down, and ad hoc reports were created using SSRS.Data analysis and validation for creating data models, developing SQL queries for data analysis, and creating data profiling reports for data discovery were conducted. Operational support included developing SSIS packages, scheduling SQL jobs, and managing ServiceNow tickets for BreakFix and enhancement requests for Power BI reports.

As a Senior Data Analyst at Sunnybrook Hospital, my role involves leading data-driven initiatives to enhance decision-making and operational performance. Utilizing Power Bi and Tableau, I develop interactive Member and Claims Analytics Dashboards, offering insights into critical KPIs like Active Members and Member Inquiries, aiding in resource allocation and member care decisions. Additionally, I lead business intelligence efforts through reverse ETL pipelines and digital channel analytics, resulting in a 10% reduction in monthly drop-offs across channels, fostering member engagement. Proficient in data profiling and modeling using Snowflake and Erwin Data Modeler, I design robust data models adhering to best practices, ensuring optimal database performance and integrity. Supporting the Financial Management System, I optimize SQL code and enforce referential integrity, facilitating accurate reporting for stakeholders. Furthermore, I drive data migration and integration efforts, improving dashboard refresh speeds by 90% through platforms like Hadoop and Snowflake, enabling real-time decision-making. Leveraging Power BI, I develop comprehensive reports and dashboards, empowering stakeholders with actionable insights. In summary, my role involves utilizing data to drive operational excellence, improve patient outcomes, and propel organizational success. change this to power bi developer role

As a Data Analyst at Walmart, I played a pivotal role in driving business growth and operational excellence through data-driven insights and solutions. Leveraging advanced analytical techniques, I successfully improved the Employee Engagement Rate by 15% over three months by conducting in-depth analysis of Employee Engagement survey data using tools such as Linear Regression, Favorability Analysis, and LDA Topic Modeling in Python. Additionally, I designed and implemented the Recruiter Performance Dashboard using Tableau, tracking key performance indicators (KPIs) such as Time to Fill, Conversion Rate, and Sourcing Efficiency, thereby enhancing recruitment strategies. My expertise in SQL and business intelligence analysis allowed me to develop and optimize SQL queries to analyze complex data sets, identify errors, and drive process improvements. Furthermore, I utilized Microsoft Excel for data cleaning and analysis, and designed Power BI data models, reports, and dashboards to visualize and communicate insights effectively to stakeholders. I also implemented data transformations and performed data cleaning and feature engineering using Python's pandas and numpy packages. Additionally, I designed and built large-scale enterprise data solutions using Azure data analytics services such as Azure Cosmos DB, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure Synapse, contributing to enhanced data management and processing capabilities. My commitment to continuous improvement led me to identify opportunities to automate manual processes using Python, resulting in significant time savings. Furthermore, I optimized the speed and efficiency of the TA Dashboard using Excel VBA, improving accessibility and usability for recruiters. My multifaceted skill set in data analysis, visualization, and solution development enabled me to drive actionable insights and deliver value across various business functions at Walmart

During my tenure as a Data Analyst at Honeywell, I was integral to managing inventory operations and delivering data-driven insights for strategic decisions. I oversaw inventory purchase orders valued at $150,000 each month, effectively addressing inventory gaps and ensuring optimal stock levels. I created SQL scripts to evaluate item-level forecast bias by analyzing lost sales and historical forecasts, providing a comprehensive view of forecast accuracy over various timeframes. Furthermore, I developed a comprehensive Monthly KPI dashboard for the Inventory team using SQL and Power BI, aiding in strategic sales and operations decisions. I also independently crafted and maintained numerous operational reports with advanced Excel functions, distributed weekly to suppliers, thereby enhancing operational efficiency and supply chain management. These initiatives greatly improved inventory accuracy, forecasting processes, and overall operational efficiency, ensuring critical data insights were readily available to inform strategic business decisions.