• Using Tableau and Power BI software to draw insight into data for clients.• Extracted and interpreted and interpreted data patterns to translate findings into actionable outcomes.• Making use of pivot tables to create visualizations that have helped to uncover insight and data-driven decisions for my clients.• Developed tables, views, and materialized views using SQL.• Tested data prediction algorithms based on historical• Utilized advanced querying, visualization, and analytics tools to analyze and process complex data sets,• Applied statistical and algebraic techniques to interpret key points from gathered data.• Created and implemented new forecasting models to increase company productivity.• Built company A/B testing frameworks to test model quality.• Tested and validated models for the accuracy of predictions in outcomes of interest.• Develop intricate algorithms based on deep-dive statistical analysis and predictive data modeling.• Assessed the accuracy and effectiveness of new and existing data sources and data analysis techniques.• And also an instructor subject like SPSS, python, pivot table, power bi

Major Duties and Responsibilities:1. AI Strategy Development - Led the strategic planning and implementation of AI initiatives, establishing frameworks for integrating AI-driven solutions across the company's core functions. - Collaborated with cross-functional teams to identify high-impact areas where AI could optimize processes, reduce costs, and improve operational efficiency.2. Project Management and Model Deployment - Managed and executed end-to-end AI projects, from data gathering and model building to deployment and ongoing monitoring. - Oversaw the implementation of machine learning models and predictive analytics tools that enhanced the company's data-driven decision-making capabilities. - Successfully led the development and deployment of an anomaly detection system, improving the accuracy of quality control by 35%.3. Data Infrastructure and Pipeline Optimization - Designed and implemented scalable data pipelines to support data ingestion, processing, and storage, which increased data accessibility and usability for analytical teams. - Led the migration of legacy systems to cloud-based platforms, resulting in a 50% reduction in data processing times.4. Team Leadership and Mentorship - Headed a team of data scientists, providing mentorship, guidance, and technical support to ensure successful project execution. - Fostered a culture of continuous learning and innovation, hosting bi-monthly workshops on advanced AI topics, which enhanced team skillsets and improved project outcomes.5. Stakeholder Engagement and Reporting - Communicated technical insights and project updates to stakeholders, translating complex AI concepts into actionable insights for non-technical audiences. - Developed and presented comprehensive reports, helping to secure buy-in from senior leadership for future AI-driven projects and initiatives.

Course Facilitator on python, power bi, SQL, SPSS, Excel