Dhruv Nirmal Email & Phone Number

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

Consulted the Director of VCDI, built machine learning models and published a PowerBI dashboard for the Department of Transport and Planning, significantly enhancing procurement performance monitoring and detecting anomalies, with 96% accuracy.→ Data Analysis: Implemented advanced anomaly detection in procurement data using Python, collaborated with teams, to enhance data accuracy, by reducing false positives by 20% and improving stakeholder decision-making processes.→ Teamwork: Collaborated with a 7-member cross-functional team to integrate anomaly detection code into existing workflows, ensuring seamless code implementation, enhancing operational efficiency.→ Stakeholder Management: Liaised with stakeholders to gauge priorities, employing agile methodologies, which built strong relationships and informed development priorities.→ Presentation: Presented the whole project to 20+ people including the director of VCDI, stakeholders and clients from DTP.

Worked with Head of Blast and Damage Studies to acquire, analyse, and filter noise using butterworth filter from blast-wave data, resulting in a 20% reduction in noise levels, making better defence equipement for the Defence Research and Developement Organisation. → Data Analysis: Analysed blast wave data using advanced statistical models to predict noise levels, enhancing the design efficiency of defence equipment with a 20% increase in prediction accuracy.→ Report Writing: Compiled and synthesised blast wave analysis findings into comprehensive 70-page report, utilising visualisation tools like MATLAB and Excel, thereby aiding the TBRL team in refining defence equipment designs by 10%.

Worked with the Head of Electronics and Automation Department to analyse and fix faulty equipments with 100% accuracy, saving 15 hrs/week in labour hours.→ Leadership: Led a 7-member team in troubleshooting and repairing complex machinery, addressing department complaints efficiently, which led to a 40% decrease in complaints.→ Time Management: Delivered over 30+ fixed equipments within 2 months, meeting deadlines 95% of the time.

Master'S Degree, Business/Managerial Economics

Courses: Statistics I and II, Machine Learning, Communicating with Data, Supply Chain Management, High Dimensional Analysis, Web App.

Bachelor Of Engineering - Be, Electronics Instrumentation And Control

C, C++ , Analog and Digital Electronics, Entrepreneurship, Mathematics I, II and III