● Conducted surveys and inspections of vessels to assess damage and determine repair requirements.● Utilized technical knowledge to identify suitable dock space within the company's yard for vessel docking, ensuring efficient utilization of available resources.● Prepared detailed and customized repair offering submissions for >30 vessels, incorporating cost estimates, timelines, and proposed solutions, and presented them to vessel owners for review and approval.● Initiated and conducted early negotiations with stakeholders for >40 repair projects, addressing concerns and expediting repair commencement.● Collaborate with internal teams and external stakeholders to finalize repair project contracts.● Oversee marketing activities related to commissioned repairs, including developing promotional materials, coordinating advertising efforts, and leveraging digital channels to reach target audiences.● Manage the billing process by accurately calculating repair costs, compiling invoices, and addressing any discrepancies or inquiries from clients.● Facilitate final negotiations on repair prices with vessel owners.● Create joint contract agreements with clients to foster long-term partnerships and enhance customer retention.● Set and exceed yearly income targets by implementing strategic marketing initiatives, identifying new business opportunities, and delivering exceptional service to clients.● Effectively manage dockyard operations during peak periods, optimizing resource allocation, scheduling, and workflow management to meet project deadlines and maintain operational efficiency.

Completed series of projects using certain analytics tools-Data VisualizationExploratory Data Analysis using Tableau to gain insights with several charts and scorecards including dual axis lineplot, pie chart and comparing two variables in scatterplot.-Python for Data Analyst(Google Colab)1. Data cleaning and manipulation from a dataframe using Pandas2. Gain insights with several charts using matplotlib and seaborn3. Create clustering and generate business recommendation using RFM method- SQL(Bigquery)Exploratory Data Analysis on sales data of E-Commerce company including used of join tables, CTE, window function and simple moving average.- Spreadsheets1. Data cleaning2. A/B testing on the marketing campaign3. Calculate descriptive statistic and visualize the insights

● Conducted surveys and inspections at >30 vessel incident sites, examining all relevant factors contributing to each incident.● Examined technical and financial reports provided on-site for >40 incidents, ensuring a comprehensive understanding of the circumstances leading to each incident.● Determined the extent of damage and identified damaged materials on >70 vessels, conducting detailed inspections of hulls, machinery, equipment, and other components.● Inspected the ship to verify if it met the requirements to continue the insurance policy.● Produced high-quality survey reports with detailed recommendations, exceeding industry standards by generating more efficient reports.● Demonstrated exceptional responsiveness by managing to arrive at incident sites within short notice periods.● Conducted surveys across various locations in Indonesia, covering sites such as the Natuna Sea, Tanjung Lesung, Flores Sea, and others.