Explore my journey through data analytics as I tackle real-world challenges and deliver actionable insights. Below are some of my featured projects, each highlighting different aspects of my expertise and tools.
Project Title:
SHIP FUEL CONSUMPTION & CO2 EMISSION
A detailed analysis of maritime fuel consumption, CO2 Emission and environmental impact.
Project Title:
SHIP PERFORMANCE CLUSTERING ANALYSIS
This project delves into clustering analysis for ship performance metrics, uncovering operational trends and efficiency insights. Leveraging advanced data science techniques, it offers actionable results for maritime industry stakeholders. .
Project Title:
TECH GIANTS STOCKS ANALYSIS
A SQL & Tableau Based Project
This project dives deep into the stock performance of leading tech companies, offering valuable insights into their trends and patterns. It showcases advanced data analysis and visualization techniques applied to financial data, emphasizing the significance of data-driven decision-making.
Project Title:
PREDICTIVE MAINTENANCE FOR MARINE ENGINES
This project analyzes marine engine sensor data using machine learning models to predict maintenance needs, helping ship Owners & operators prevent costly breakdowns.
Project Title:
Bank Customer Churn Prediction
(Kaggle Competition Host)
This project was designed to predict customer churn for a fictional bank, utilizing machine learning techniques
Project Title:
Maritime Port Call & Performance Analysis (2022-2023)
This project analyzes maritime port performance statistics across various vessel types from 2022 to 2023. The data was extracted and compiled from UNCTADstat, offering insights into vessel characteristics, time spent in ports, and capacity trends across global shipping operation
Project Title:
Inventory Stock Reorder System – Excel Automation Dashboard
This project automates inventory tracking and reorder analysis using Microsoft Excel and VBA. It combines multi-year inventory data, applies intelligent filtering, and generates an insightful dashboard highlighting stock status by supplier and category. Key tasks like PDF export and Outlook email notifications are streamlined into a single click for efficient stock management.