Muhammad Shoaib

Currently working with Multiple clients as an Offshore BI Consultant. And my day-to-day responsibilities are: Successfully developed and deployed various interactive Tableau/Power BI dashboards for different business users. Working closely with the business users to better understand their business questions and requirements. Involved in the full project lifecycle covering planning, requirement gathering, design, implementation, testing, documentation, delivery, maintenance, and Support. Develop complex KPI and KRI metrics with the collaboration of other BI and data Engineers. Engaged in project progress meetings with clients on daily/weekly bases.

Developed and deployed interactive dashboards, KPIs, and ad-hoc reports using cutting-edge BI technologies to provide clients with valuable insights and facilitate data-driven decision-making Collaborated extensively with internal stakeholders and departments to identify business requirements and translate them into robust BI solutions that aligned with organizational objectives Partnered with Product Managers, Marketing, and Sales teams to provide real-time, actionable insights by leveraging advanced data analysis and visualization tool such as Tableau Utilized advanced SQL techniques, including self-joins, subqueries, and aggregations, to create complex queries for diverse business requirements, optimizing data accessibility and accuracy Managed Tableau Server, ensuring effective site, project, user, and user group management to maintain data security and accessibility Identified and resolved data discrepancies occurring among various information systems and reports using data reconciliation tools, safeguarding data integrity Streamlined and enhanced BI dashboards and reports by incorporating the latest BI technologies and data visualization best practices, optimizing user experience and empowering end-users and stakeholders with critical insights

Collected and prepared large datasets, ensuring their quality and completeness for subsequent analysis Trained a Named Entity Recognition (NER) model using RASA NLU, fine-tuning it to accurately identify entities within unstructured text data Integrated the NER model with a Flask REST API, enabling fast and flexible access to NER functionality via HTTP requests Built a scoring API that utilized advanced string matching algorithms like "Fuzzy Wuzzy" to find matching documents within large datasets Leveraged Elastic Search database technology to store and manage the dataset, providing powerful search and retrieval capabilities for end-users

As an internee: Assisted in developing the backend system using the Model-View-Controller (MVC) framework Collaborated with the team to create user-friendly forms for data management using Django Gained experience working with Microsoft SQL Server, and learned to write SQL queries to extract the necessary data

Responding to student inquiries and providing additional support during office hours and via email Grading and providing constructive feedback on student assignments and exams within the given timeframe Collaborating with the course instructor and other teaching assistants to develop and maintain course materials, such as lecture notes, presentation slides, and supplementary resources Conducted student vivas and prepared progress reports Designed solution sets for course assignments and provided a demonstration

As a internee my responsibilities were: Worked on Designing of the Application Developed rich UI for the applications modules using List View, Scroll View and Navigation Drawer and developed custom View. Customized different widget that include Button’s, Toast’s and Dialog’s