As a Data Analyst Session Lead at Udacity, I1. Provide world-class technical support to students globally in their Data Analytics Nanodegree learning journey. 2. Mentor others to hone their technical skills in the field through weekly connect sessions. 3. Explain concepts and topics of the Data Analyst Nanodegree program to group of students4. Solve questions raised by students during the Connect session, and report student's attendance and progress to the Mentor's dashboard.

1. Developed and implemented data pipelines that extract, transform, and load data into an information product.2. Led data wrangling tasks to enable data usability for advanced analytics.2. Worked on managing, storing, processing and analyzing large data sets to identify business opportunities/efficiencies3. Audited clients processes and recommend data and automation solutions to create value for the client's businesses.4. Evaluated, analyzed, and understand the voice of the customer through a variety of data sources.5. Led the development of suites of digital products that enables faster analytics and automation for adopters.6. Drove product strategies and long term vision to build best in class analytics and automation digital products.7. Monitored, analyzed, and acted on key product analytics. Continually improved the product, increase retention rate, and boost customer lifetime value (LTV).8. Conducted user research and usability studies, collaborated with designers, developers and research teams from end to end of the process.9. Participated in market research, validation, and whitespace analysis to identify new opportunities for new and existing features and functionalities10. Partnered with business owners and agile product teams to build product roadmaps that will be incorporated in to the broader company product portfolio plan

1. Led the data audits and root causes analysis for a top federal government loan initiative to achieve reconciliation across multiple tech infrastructure and bank records. 2. Cleaned data, optimised data processes, and built PowerBI reporting dashboards for several federal government intervention programmes for a top federal government financial institution. 3. Built algorithms to mine data and tracked various monitoring & evaluation projects using AI techniques. 4. Researched, recommended, and trained staff on the proper CRM tool for sales improvement. 5. Trained staff and clients in automation and AI related technologies. 6. Computed the revenue figures and managed business relationships with top clients. 7. Designed business model for social and financial technology businesses. 8. Designed wireframes, documented requirements and managed several projects. 9. Oversee the demo and implementation of automation and analytics products and consulting services for clients.10. Managed the Project Management Office (PMO) and Technology Management Office (TMO) of a nationwide Federal Government loan intervention programme and successfully delivered technologies and technical expertise to manage the programme end to end and ensured data integrity.

1. Facilitated data analytics and business analysis training sessions.2. Facilitated Conversational AI/Chatbot Engineering course in the Digital Transformation class3. Groomed Business Intelligence Developers, Business Analyst and AI Engineers.

1. Facilitated several data science and artificial intelligence training sessions.2. Mentored participants in the Artificial Intelligence Immersion Programme.3. Supported the team in other data science and AI related activities.4. Trained and mentored global participants in the Data Science and AI Diploma Programme

1. Mapped and optimized the warehouse inbound process to reduce vendors/merchants inbound waiting time. 2. Built PowerBI dashboards to automate sales reporting and business optimisation. 3. Optimised B2C Quote processing and mapped the end-to-end online ordering process. 4. Improved marketing and customer service operations with data science techniques.5. Identified important metrics to measure for business success and created dashboards to automate the the reporting.

1. Optimised several business operations and increased new business and revenue generating streams. 2. Prepared intelligent analytics which contributed to revenue increment by 24% in 1year. 3. Performed analytics to identify strategic insights which contributed to increased passengers' figure by 73% in 1 year. 4. Conducted strategic analysis with Cargo Manager which contributed to increased cargo revenue by over 100% in 1year. 5. Prepared monthly market share, revenue, and cost performance report for the management team. 6. Optimised budgeting with intelligent budget analysis and forecasting together with the CFO. 7. Led the planning, implementation, and training on strategic documents & quality management system.

1. Performed complex analysis to identify business requirements, priorities, and recommendations. 2. Co-ordinated with product teams to implement business solutions to develop potential opportunities..3. Identified important business metrics and automated the reporting to increase revenue and decreased cost significantly