Rana Mahmud is a Dhaka-based software engineer and senior data scientist with a decade of experience blending statistics, machine learning, and full-stack development to build data-driven products, including medical imaging solutions. Holding an MSc in Statistics and a double major in Statistics and Computer Science, she augments formal training with Udacity nanodegrees in Data Science and Deep Learning and hands-on experience across Power BI, Python, Django, MongoDB, SQL/NoSQL and BigQuery ML. She has delivered over 400 projects, mentors interns, and moves models from prototype to production while also building analytical dashboards that make complex data accessible to stakeholders. An active problem-solver, she contributes algorithmic C++ solutions to community LeetCode repos, demonstrating strong fundamentals in data structures and complexity analysis. Ambitious and collaborative, Rana combines rigorous statistical thinking with practical engineering to drive measurable impact in interdisciplinary teams.
Contributions:6 commits, 1 PR, 5 comments in 1 day
Contributions summary:Md contributed to the LeetCode solutions repository by adding C++ solutions for specific problems. Their work focused on implementing the `search` function for the "Search in Rotated Sorted Array" problem and providing a solution to the "Single Number" problem. The contributions showcase the user's ability to implement algorithms and data structures in C++ along with incorporating time and space complexity analysis. This indicates a strong foundation in problem-solving within the context of algorithm design and implementation.
Contributions:132 commits, 117 pushes, 1 branch in 5 months
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