Zeeshan Mansoor

- Building a leading-edge robust suite of Cloud Artificial Intelligence capabilities to accommodate multiple use cases analyzing customer data, providing insights, and streamlining business processes. - Participate in all aspects of the software development life cycle, from design to implementation - Partner with data science and domain engineering teams to support the business requirements - Develop highly scalable systems, algorithms, and tools to support machine learning solutions

- Worked as a cross-functionality with engineers, product and data science teams to expose the work of the data science team to the broader organization - Delivered production ready data-driven solutions that integrate with current and future products using Python - Researched on new ideas and technologies in machine learning and integrate it with the existing software - Built machine learning and statistical based models for natural language applications

- Responsible for creating a real-time business intelligence dashboard using Shiny R - Collaborated with the backend development team for the successful integration of the dashboard - Also, participated in testing and deployment of the dashboard on a cloud-based server and provided debugging support to the development team

- Built an image classification model for automatically checking the papers using machine learning - Also created a prototype of the Apache server in Java for teaching - Helped 80+ students in understanding the concepts of operating systems using Linux

- Created a web-based semantic search engine for recommending 1.3 million academic papers using machine learning for the University of Windsor - Developed the front-end using Java and AngularJS and integrated it with the machine learning module implemented in Python - Also linked the data from different sources and preprocessed 1TB of unstructured text files

- Developed smart bash scripts for analyzing OS level security in the Teradata database architecture. - Also automated the process of inserting logs into the Teradata database by using natural language processing in Python

- Led the Android development team and successfully launched a time-sensitive mobile application for a client - Communicated with various teams so that the application could successfully integrate with the other modules.

- Developed a model in C++ for integrating heterogeneous databases such as SQL and Oracle using HADOOP in Linux

- Conducted interviews for the requirement collection of an official e-commerce based website with the client and showed flexibility in making changes as required by the client - Used web technologies like AngularJS, JavaScript, HTML, CSS, and PHP

Specializing in machine learning and awarded Director’s honor award