Data Analyst
Dubai Roads And Transport Authority (rta)
Total years of experience :4 years, 10 Months
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Member of the data scientists team for AI project to produce working PoC’s
Project coordinator and mediator between both internal/external stakeholders and data science team
Successfully Negotiated and secured a no-budget MoU with a pioneer in security equipment industry
Built an analytics division
Scraping and mining data from open-source, newspaper outlets, social media platforms and media channels (TV, podcasts, radio…etc.) to monitor and protect “RTA Dubai” brand name and organizational activities, from a security perspective and aiding Digital Marketing, Customer Service and multiple other departments
Providing strategic insights through scenario analysis of transport network operations which drastically reduced service disruption response time, automated the data analytics reporting for end-users
Developed and implemented new processes to mine internal data to detect and prevent potential internal/external fraud, internal organizational corruption and embezzlement w/ NoSQL Databases
Simplifying analytics through data mining, text analytics (NLP) and visualization w/ Python scripts
Developed new software for end-users and integrated to main reporting system to ease information flow
Introduced risk management processes and risk matrix to inspection activities and automated reports w/ Excel VBA
Implemented a new system allowing singlehanded management of over 350+ Security Personnel in 60+ locations
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Data-Driven Decision Management
Successfully managed 3 inspection divisions/teams
Developed inspection policies, employee development and training plans
Developed and implemented new policies and system to handle grievance issues, ensuring customer satisfaction
Re-evaluated and improved employee evaluation Metrics & KPI
Interviewed and selected good hires based on developed metrics and department requirements
Increased department’s productivity by 273% within 8 months
Forecasting/Predictive analytics to analyze inspection, violation, time, occurrence, severity and other factors in productivity and provide insights on
Smart mapping and spatial analytics to discover points of productivity (similar to POS), led to efficient asset management and lessened resource wastage
Built data visualization dashboards to track and analyze key data points to monitor inspectors productivity results to influence strategic decisions
Introduced digital archiving to the department and administered databases to preserve and backup documents
Researched and analyzed inspection processes, performed root-cause analysis on inspection criteria to develop and implement new processes and improve current process
Anticipated graduation in April 2021
Graduated with honors, cum laude GPA: 3.54 Dean’s list for academic excellence
High School Arts Section