Power BI Specialist and Data Analyst with around 4 years of experience in building end to end analytical & automation solutions using Power BI, Power BI Service, DAX, Power Query, SQL, SharePoint, excel, dataflow, data m…
Power BI Specialist and Data Analyst with around 4 years of experience in building end to end analytical & automation solutions using Power BI, Power BI Service, DAX, Power Query, SQL, SharePoint, excel, dataflow, data modeling and other tools / technologies. Delivered over 70 enterprise Power BI reports and supported / enhanced 100+ reports across IT, Corporate Finance, Security, Supply Chain, Warehouse, Facility Management, HR, HSE, Medical, Production, Operations and others. Contributed to GCC regional clients including Abunayyan Holdings (KSA) and UAE-based enterprise projects (Dubai Petroleum, Etihad Airways and Dolphin Energy), working closely with senior stakeholders and project teams. Built over 70 dashboards, supported and enhanced 100+ reports, and migrated 20 Tableau dashboards to Power BI. Experienced in Power Automate and Power Apps for workflow automation.
Led end-to-end Power BI architecture and reporting for key Oil & Gas, Aviation, and Energy clients, delivering data-driven insights across all business levels.
Successfully managed onsite engagement for Dubai Petroleum, overseeing multiple business units and independently handling client reporting and stakeholder communication.
Developed and deployed 70+ advanced Power BI reports and dashboards across all clients, integrating with SQL, Oracle, SharePoint, Azure, SAP and Excel.
Created and optimized advanced DAX measures for complex KPIs, improving report performance and accuracy.
Built Power BI Apps, Workspaces, and implemented Row-Level Security (RLS) for secure access and user segmentation.
Designed custom Power Apps integrated with SharePoint for improved workflow automation and digital transformation.
Automated end-to-end business processes using Power Automate Flows, boosting operational efficiency.
Collaborated closely with cross-functional stakeholders to translate business requirements into actionable analytics and reporting solutions.
Contributed to data modeling, ETL transformations, and performance tuning, ensuring scalability and maintainability.
Recognized as a dependable individual contributor and team collaborator, consistently delivering under tight timelines with high client satisfaction.
Led end-to-end Power BI architecture and reporting for key Oil & Gas, Aviation, and Energy clients, Successfully managed onsite engagement for Dubai Petroleum, Developed and deployed 70+ advanced Power BI reports and dashboards across all clients, Created and optimized custom DAX measures for complex KPIs, Built Power BI Apps, Workspaces, and implemented Row-Level Security (RLS), Designed custom Power Apps integrated with SharePoint for improved workflow automation, Automated end-to-end business processes using Power Automate Flows, Collaborated closely with cross-functional stakeholders to translate business requirements into actionable analytics and reporting solutions, Contributed to data modeling, ETL transformations, and performance tuning, Recognized as a dependable individual contributor and team collaborator
Delivered end-to-end Power BI architecture, development, and deployment for enterprise-scale Oil & Gas reporting solutions.
Managed entire Development, Deployment and Support cycles.
Engaged with stakeholders and teams for requirement specification, BRD for prioritizing the reports, define KPIs, and deliver actionable, business-aligned analytics.
Developed over 35 new Power BI reports and dashboards and supported/enhanced 12+ existing reports, delivering insights across operational, financial, supply chain, production, training, HR, HSE and executive levels.
Migrated 20+ complex Tableau dashboards to Power BI from scratch through production deployment, ensuring performance optimization and data accuracy.
Built and optimized data models using SQL, Oracle, Excel, and Power Query.
Created advanced DAX measures, implemented new logics and features for complex business demands.
Implemented Row level Security(RLS), managed Power BI Service workspaces, apps, and deployments, ensuring secure and governed access.
Delivered end-to-end Power BI architecture, development, and deployment for enterprise-scale Oil & Gas reporting solutions, Engaged with stakeholders and teams for requirement specification, Developed over 35 new Power BI reports and dashboards and supported/enhanced 12+ existing reports, Migrated 20+ complex Tableau dashboards to Power BI from scratch, Built and optimized data models using SQL, Oracle, Excel, and Power Query, Created advanced DAX measures, implemented new logics and features, Implemented Row level Security(RLS), managed Power BI Service workspaces, apps, and deployments
Developed an NLP-based emotion detection system integrated into ERP software to analyze employee sentiment and productivity.
Implemented sub-emotion classification using NRC & BOSE Emotion Lexicons.
Built models for depression detection using NLP pipelines (data cleaning, feature engineering, clustering).
Conducted research and deployed working sub-emotion detection model improving staff productivity analytics.
Utilized Python, Jupyter Notebook, scikit-learn, NLTK, and other ML tools for model development.
Analyzed real-time Twitter data for emotion and depression detection as part of freelancing projects.
Developed an NLP-based emotion detection system integrated into ERP software, Implemented sub-emotion classification using NRC & BOSE Emotion Lexicons, Built models for depression detection using NLP pipelines, Conducted research and deployed working sub-emotion detection model improving staff productivity analytics, Utilized Python, Jupyter Notebook, scikit-learn, NLTK, and other ML tools for model development, Analyzed real-time Twitter data for emotion and depression detection as part of freelancing projects
Built supervised and unsupervised learning models to predict student performance and cluster Iris dataset.
Designed interactive Tableau dashboards and published them to Tableau Public.
Completed end-to-end data science project workflow — model building, analysis, visualization, and deployment.
Built predictive models for Parkinson’s Disease Detection and Fake News Classification.
Created a Binary NLP Chatbot using Python and Dialogflow.
Worked on data cleaning, NLP pipelines, and model evaluation metrics.
Developed a classification-based predictive model to assess the immunity level of individuals and forecast COVID-19 severity using data analytics and machine learning techniques.Extracted and analyzed patient data to identify meaningful patterns correlating with disease outcomes such as ventilator use and mortality risk.Designed a system to accept user input and match against historical data to generate a severity risk score and predict potential clinical outcomes.Utilized predictive analytics, including data mining and machine learning, to enable early identification of high-risk patients.Focused on practical applications in clinical decision-making, aiding in triage, resource allocation, and treatment planning.Project aims to reduce mortality risk by enabling proactive healthcare decisions based on data-driven insights.
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