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Fleet Performance Specialist || Maritime Digitalization & Decarbonization || Naval Architect || AI, ML & Data Analytics in Shipping || Ex-ZeroNorth || BITS Pilani Dubai || Driving Data-Driven Maritime Operations
Maritime professional with 8+ years of experience across vessel performance optimization, naval architecture, fleet operations, drydocking, and maritime digitalization. Currently working as a Fleet Performance Specialist at MTM Ship Management, focusing on fuel efficiency, emissions monitoring, PMS coordination, operational analytics, decarbonization initiatives, and sustainable fleet performance improvements aligned with the future of green and low-emission shipping. My professional journey combines deep maritime domain expertise with advanced capabilities in Data Science, Artificial Intelligence, Machine Learning, and cloud technologies. Having worked across shipping operations, vessel optimization, ship design, and data analytics roles, I actively work at the intersection of maritime engineering, sustainability, and emerging technologies. Previously associated with organizations including ZeroNorth, DP World, Inland Waterways Authority of India (Ministry of Shipping), Drydocks World Dubai, Indian Register of Shipping, and Hindustan Shipyard Limited, contributing to projects involving: • Vessel performance optimization • Fuel efficiency & emissions reduction • Voyage and fleet analytics • Drydocking & technical operations • Maritime sustainability & green shipping initiatives • AI-driven operational insights • Data engineering & cloud-based analytics solutions • Emission reduction and operational efficiency strategies I hold an M.Tech in Data Science & Artificial Intelligence from BITS Pilani Dubai and a degree in Naval Architecture & Marine Engineering from Indian Maritime University. Particularly interested in: • Green & emission-free shipping initiatives • Maritime decarbonization strategies • AI-driven shipping operations • Maritime digital twins • Predictive analytics & ML applications • Autonomous and smart vessel ecosystems
GEEKLURN SINGAPORE
PG DSBA, Artificial Intelligence
September 1, 2022 – Present
Birla Institute Of Technology and Science, Pilani Dubai
Master of Technology - MTech, Data Science & Artificial Intelligence
July 1, 2022 – July 1, 2024
Indian Maritime University, Chennai
Engineer’s Degree, Naval Architecture and Marine Engineering
April 1, 2013 – April 1, 2017
MTM SHIP MANAGEMENT INDIA PVT. LTD.
Fleet Performance Specialist & PMS Lead | Decarbonization
April 1, 2026 – Present
Mumbai, Maharashtra, India · On-site
ZeroNorth
Performance Analyst
March 1, 2025 – March 1, 2026
ZeroNorth
Vessel Optimization Analyst
March 1, 2025 – March 1, 2026
Rigi
Machine Learning Engineer
September 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India · On-site
Google Developer Student Club BITS Dubai
Creative Executive
February 1, 2024 – August 1, 2024
Dubai, United Arab Emirates · On-site
Travendr
Data Engineer
September 1, 2023 – August 1, 2024
Dubai, United Arab Emirates · On-site
Marine and Industrial Solutions LLC
Project Engineer
August 1, 2022 – August 1, 2023
DP World
Project Engineer
October 1, 2020 – July 1, 2022
Dubai, United Arab Emirates · On-site
Inland Waterways Authority of India, (Ministry of Shipping, Govt. of India)
Technical Assistant
July 1, 2019 – September 1, 2020
Noida, Uttar Pradesh, India
Inland Waterways Authority Of India
Trainee Engineer
October 1, 2017 – October 1, 2018
Noida, Uttar Pradesh, India
Ashkam Energy Pvt. Ltd.
Graduate Engineering Trainee
June 1, 2017 – September 1, 2017
Mumbai, Maharashtra, India
Hindustan Shipyard Limited, Visakhapatnam
Project Trainee
March 1, 2017 – May 1, 2017
Vishakhapatnam Area, India
Udupi Cochin Shipyard Limited
Project Intern
August 1, 2016 – September 1, 2016
Mangalore Area, India
Hindustan Shipyard Limited - India
Summer Intern
June 1, 2016 – July 1, 2016
visaakhapatnam
Project_on_shallow_draft_pusher_tug_for_inland_waterways
October 1, 2017 – March 1, 2018
This project focused on designing a shallow-draft pusher tug to enhance cargo transportation efficiency on National Waterway 1 (NW-1), India’s longest inland waterway, which spans 1,620 km from Haldia to Allahabad. A detailed analysis of NW-1 was conducted to identify navigable routes and address challenges such as variable water depths and operational constraints. The design aimed to optimize the tug's performance under these varying conditions.Comprehensive ship design calculations were performed, including hydrostatic analysis, hull form optimization, propulsion system design, and structural strength assessments. The hydrostatic analysis ensured vessel stability and buoyancy, while hull form optimization. Key aspects of the project included: 1.Detailed Waterway Analysis: Conducted an in-depth analysis of NW-1, identifying navigable routes & addressing issues like variable water depths, infrastructure constraints, and environmental conditions. 2.Vessel Design: Performed comprehensive ship design calculations,covering hydrostatic analysis,hull form optimization,propulsion systemdesign & structural strength assessments.The design incorporated a shallow draft, square bow, and knees for barge handling, ensuring the vessel could operate efficiently in the region’s unique water conditions. 3.Compatibility with Indian Waterways: The design specifically accounted for the operational characteristics of Indian waterways, ensuring the vessel could handle varying water depths and efficiently navigate the entire length of NW-1. 4.Efficiency Solutions: Proposed solutions to improve IWT for different types of vessels, including cargo vessels, Over Dimensional Cargo (ODC), and tourism vessels.These solutions align with the government’s Jal Marg Vikas Project, aimed at revitalizing and expanding India’s inland water transport infrastructure. 5.Global Operational Standards:Ensured that vessel design adhered to global standards for structural strength,stability & prop. systems.
Google Cloud Big Data and Machine Learning Fundamentals
Coursera
June 25, 2026 – Present
Introduction to data Engineering
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across maritime engineering, data engineering, and machine learning roles, coupled with a master's in Data Science & AI, suggests adaptability and a continuous learning mindset. Their involvement in the Google Developer Student Club indicates a proactive approach to community and technology engagement. The transition from naval architecture to data science shows a willingness to pivot and acquire new skills, which can be a strong cultural fit for dynamic environments. However, the primary project is heavily focused on naval architecture, which, while demonstrating analytical rigor, is not directly aligned with typical data analyst projects, potentially indicating a need to bridge this gap in a data-centric culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their experience in optimizing fleet performance and identifying efficiencies. Their collaboration with commercial operators and stakeholders indicates good communication and teamwork abilities. The project on shallow-draft pusher tug design also highlights a structured approach to complex problem-solving.