Riend User

Independently translated complex Web3 protocols into clear guides and community threads, growing communities to 10K+ members and reducing support escalations through precise explanations and workflow documentation.

Progressed from customer support to Trainer and Team Leader, creating structured training programs, coaching staff on escalation handling, and maintaining meticulous support documentation. Improved team consistency and response quality.

Provided empathetic, detail-oriented communication and sensitive reporting in NGO volunteer work, enhancing community support processes and maintaining accurate records.

Managed client relationships and escalations while developing structured documentation and training materials to improve support quality and reduce escalations. Scaled community engagement through clear communication and content structuring.

Activities and societies: Built practical projects including: arithmetic formatter (aligns and solves math problems), time calculator (adds/subtracts durations), budget app (tracks deposits/withdrawals), polygon area calculator (computes shapes like rectangles/triangles), and probability calculator (simulates dice rolls/card draws).

This certification covers Python fundamentals like variables, loops, functions, data structures, OOP, algorithms, recursion, regex, networking basics, and relational databases. It includes hands-on projects such as building an arithmetic formatter, time calculator, budget app, polygon area calculator, and probability calculator—focusing on practical scientific computing and problem-solving skills.

Activities and societies: Completed hands-on projects: analyzed medical exam data for correlations and visualizations, processed census demographics with statistics and charts, explored forum page view trends over time, built a sea level predictor using linear regression on historical data, and performed exploratory analysis on health surveys using Pandas for insights and reporting.

This certification teaches core data analysis using Python, including reading data from CSVs/SQL, manipulating it with libraries like NumPy and Pandas, and visualizing results with Matplotlib and Seaborn. It emphasizes processing, cleaning, exploring datasets, and creating insights through real-world projects, building strong foundations for data handling and reporting.

Activities and societies: Explored operating systems, networks, distributed systems, compilers, software engineering, algorithms, data structures, and computational theory. This built strong problem-solving and systems thinking skills I use for troubleshooting, automation, and learning technical tools.

This graduate-level certificate focuses on advanced topics in systems software, including operating systems, computer networks, distributed systems, compilers, software engineering principles, algorithms, data structures, and computational theory. It builds deep skills in designing and implementing robust systems, with coursework emphasizing software that powers complex, scalable technologies.