Imam Hadrazi Baihaki Email and Phone Number

In my role as Senior Data Scientist, I leverage advanced analytics and automation to enhance clients' mining operations and ensure seamless use of Hexagon’s fleet management system. Some of my key contributions include:• Geospatial analysis of excavator digging rates: Developed and implemented spatial models to analyze and visualize poor-performing loading areas. This enables the operational team to quickly identify inefficiencies and take corrective actions, ultimately improving excavator productivity.• Empty stop clustering: Utilized data-driven approaches to identify and address high-congestion zones within mine haul routes, leading to reduced delays and enhanced truck movement optimization.• Automated dispatch check for Hexagon's fleet management system: Designed and developed an automated tool that verifies over 30 critical dispatch configurations in real time, ensuring dispatchers can quickly identify and fix configuration errors and maintaining high operational standards.

• Led a initiatives in remotely monitoring client performance across 4 APAC countries. Leveraged advanced analytics to build and deploy 70+ BI dashboards and reports, resulting in a 12% increase in client mining productivity and over 15% cost reduction.• Collaborated with various client departments (site management, operations, engineering, cost control) to identify improvement opportunities and translate data insights into actionable recommendations.• Played a key role in the pre-sales process by analyzing client data and employing statistical analysis to predict potential savings. Successfully identified a USD 10 million reduction in operating costs for a prospective client with a potential deal size exceeding USD 3 million.

Managed end-to-end operations for 5 verticals (4W & 2W transportation, logistics, food deliveries, and groceries) across 3 regions (Bali, West Nusa Tenggara, and East Nusa Tenggara). Utilized data analysis to improve operational performance, including:• Led a team of 5 data analysts to monitor business performance across 5 verticals (GrabCar, GrabBike, GrabExpress, GrabFood, GrabMart). Extracted actionable insights from data to identify problems and opportunities, enabling data-driven decision-making by the business operations team.• Increased daily order fulfillment rate from 55% to 83% within 4 months by leveraging predictive analysis to forecast demand growth and optimize driver allocation based on factors like demand density, driver behavior, and driver’s preferred working areas.• Successfully navigated a challenging market during the COVID 19 era by implementing data-driven strategies. Managed to recover the GMV by even 5% more than the pre-COVID 19 time. Tailored promotions based on user segmentation and maintained price parity with competitors.• Ensured business profitability by conducting financial analysis and driving cost-saving initiatives. Monitored profit and loss (P&L) and implemented cost reductions in promotions, driver incentives, and marketing expenses, exceeding the EBITDA target by 10%.

• Led the automation of a business process audit for one of the world’s largest copper and gold mining company by leveraging data analytics expertise. This shifted the audit approach from traditional random sampling to a 100% data-driven assessment, improving audit efficiency and effectiveness.• Utilized data from SAP to identify potential fraudulent transactions in the supply chain related to sole sourcing. Developed a Tableau dashboard for continuous monitoring, enabling proactive risk mitigation.• Supported risk analysis activities in Finance and Accounting (ensuring compliance with Indonesian central bank regulations) and Warehouse and Inventory Management (identifying mismatches between purchase documents and goods received). Utilized data analysis to create BI dashboards for ongoing monitoring and compliance.

Led and managed the deployment of data-driven solutions for mining operations, enabling clients to optimize processes and make data-driven decisions. Utilized data analytics techniques to identify improvement opportunities and develop real-time BI reports for performance visualization.• Acted as Project Manager for deploying an AI-based fatigue detection system, resulting in real-time identification of fatigued operators and potentially reduced accident risks for a prominent Indonesian mining service contractor.• Led a team in deploying an IoT-based high precision drilling system for a major coal mining contractor in Indonesia. The project significantly reduced process time by > 60% and increased productivity by providing an accurate navigational system for drilling operations.• Performed data analysis and skill gap mapping for an Australian mining company. The BI report identified areas for improvement in production, equipment and personnel productivity, and process efficiency.

Contribute to the Company’s production and profit by increasing mining efficiency through the optimal usage of fleets with the following responsibilities:• Optimized production efficiency by leveraging data analysis and IoT technology. Developed a real-time truck allocation system that considered factors like hauling distance, equipment capacity, and operating costs. This resulted in >15% improvement in overall truck productivity.• Increased team efficiency by automating routine reporting tasks using SQL and Excel macros. This reduced reporting time by approximately 80%, freeing up valuable time for the team to focus on other critical tasks.

• Developed probabilistic baseline schedule of PHE-38B Platform and Subsea Pipeline Project using the Monte-Carlo Simulation method by Primavera Risk Analysis program• Performed quantitative risk assessment to analyze the impact of the risks to the project schedule• Analyzed most sensitive risk events and activities in project WBS to determine the risk response plans• The research conducted was highly appreciated and considered Excellent by the Project Department Manager of Pertamina Hulu Energi WMO.