Technical support at Solink Contact Center

Awarded the "Best of the Best" recognition on the service team for achieving the highest Net Promoter Score (NPS) in customer satisfaction, securing the largest number of referrals, and resolving 100+ client issue tickets within the quarter.

I worked as a Data and Reporting Analyst Intern with the Data Analysis Origin Team. My responsibilities included participating in phases of a transport planning project, such as data generation, developing transportation models, simulation planning, risk analysis, and generating reports.• Collaborated with the transport and data analysis team to gather field data, conduct traffic counts, and assess pedestrian safety measures, contributing to templated transport reports used by stakeholders and regulatory councils for decision making on transportation objectives• Analyzed census data using NOMIS to forecast transportation needs for various current and future development projects, using trip generation and distribution models to predict traffic volumes and direction for residents and commuters• Conducted risk assessments on a commercial development project, identifying bottlenecks and proposing mitigation strategies, reducing the likelihood of traffic congestion by 30% by implementing cohesive signal times on junction arms• Utilized junction modeling software such as PICADY and LinSig, alongside databases such as TRICS and Tempro, to simulate traffic flow scenarios, providing insights on junction design for transport engineers

I worked as a Data Analyst Intern with the Data Analytics and Model team. The goal of my work was to verify and validate collected data using tools such as SQL, MS Excel, and Tableau.• Assisted in developing a simple water purification machine with a team, leading to a 95% purity rate and a 15% decrease in regular operational costs• Performed data analysis on Windows, Linux, and macOS operating systems, extracted data by SQL queries from multiple databases, and visualized data in Tableau to present to teams and management, enabling tracking and trend discovery• Detected 93% of dataset anomalies using complex SQL queries and reported all discrepancies and rectifications to the supervisor • Gained knowledge in water waste management solutions through team exercises, engineer shadowing, and field visits