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πŸš€ Welcome to the Future

DeshadSpace

Exploring Space, Code, and Beyond. Leveraging Machine Learning, Predictive Analytics, and Satellite Technology to push the boundaries of aerospace data science.

Latest Work

πŸ›°οΈ
Active Development

SENTINODE X

Satellite telemetry simulator with real-time anomaly detection using Neural Networks and predictive analytics.

Explore Project β†’
🌍
Research

GRACE + ML

Downscaling GRACE satellite data for Sri Lankan water storage predictions using XGBoost and ensemble methods.

Read Research β†’
🌾
βœ“ Published

Smart Agriculture

Paddy yield prediction for Sri Lanka using Stacked Ensemble Learning. Published in SciForum IECAG 2025.

View Publication β†’
β˜„οΈ
In Progress

Asteroid Mining

Remote resource estimation of Near Earth Asteroids using autoencoders and spectral analysis.

Learn More β†’

Meet the Explorer

I'm Deshad Senevirathne, a Manufacturing & Industrial Engineering graduate from the University of Peradeniya, transitioning my passion and expertise towards the exciting frontier of Satellite Technology and Aerospace Data Science.

My academic journey at the University of Peradeniya provided me with a robust foundation in engineering principles, which I now combine with advanced skills in Machine Learning, Predictive Analytics, and Full-Stack Development.

My goal is to leverage computational intelligenceβ€”from building neural networks for anomaly detection to designing control algorithms for satellite systemsβ€”to contribute meaningfully to next-generation space missions and Earth observation initiatives.

Field Engineering Experience

On-site project participation during my tenure as Mechanical Site Engineer

Certifications & Credentials

Continuous learning in Space Technology, Robotics, AI/ML, and Engineering

🌾 Agriculture

Certificate of Recognition to the Poster Presenter

Agronomy MDPI
Issued Dec 2025
πŸ€– Robotics

Modern Robotics, Course 3: Robot Dynamics

Northwestern University
Issued Dec 2025
Credential ID: VRX04EK6RPEA
πŸ€– Robotics

Modern Robotics, Course 2: Robot Kinematics

Northwestern University
Issued Nov 2025
Credential ID: MS8LW5ZPB6DY
πŸ€– Robotics

Modern Robotics, Course 1: Foundations of Robot Motion

Northwestern University
Issued Nov 2025
Credential ID: KJ6KBAIP8WUN
πŸš€ Space

Space Mission Design and Operations

EPFL (edX Verified Certificate)
Issued Nov 2025
Credential ID: 93b1b9fa0e2f449897890e911a06c64b
πŸš€ Space

Participation - International Space Apps Challenge 2025

NASA - National Aeronautics and Space Administration
Issued Oct 2025
πŸš€ Space

Guidelines for Long-term Sustainability of Outer Space Activities

United Nations Office for Outer Space Affairs (UNOOSA)
Issued Jun 2025
πŸš€ Space

Introduction to the Space Economy

United Nations Office for Outer Space Affairs (UNOOSA)
Issued Jun 2025
βš™οΈ Engineering

Become a PLC Developer

LinkedIn Learning
Issued Dec 2024
🧠 AI/ML

Computer Vision

Kaggle
Issued Dec 2024
🧠 AI/ML

Data Cleaning

Kaggle
Issued Dec 2024
🧠 AI/ML

Feature Engineering

Kaggle
Issued Dec 2024
🧠 AI/ML

Geospatial Analysis

Kaggle
Issued Dec 2024
🧠 AI/ML

Intermediate Machine Learning

Kaggle
Issued Dec 2024
🧠 AI/ML

Intro to AI Ethics

Kaggle
Issued Dec 2024
🧠 AI/ML

Intro to Deep Learning

Kaggle
Issued Dec 2024
🧠 AI/ML

Intro to SQL

Kaggle
Issued Dec 2024
🧠 AI/ML

Time Series

Kaggle
Issued Dec 2024
🧠 AI/ML

Artificial Intelligence Foundations: Thinking Machines

LinkedIn Learning
Issued Nov 2024
🧠 AI/ML

Data Visualization

Kaggle
Issued Nov 2024
🧠 AI/ML

Intro to Machine Learning

Kaggle
Issued Nov 2024
βš™οΈ Engineering

Introduction to Embedded Systems with Rust

LinkedIn Learning
Issued Nov 2024
🧠 AI/ML

Pandas

Kaggle
Issued Nov 2024
πŸ’» Programming

R Programming

Encode
Issued Nov 2024
Credential ID: 957a5f38-c42c-4cd9-99cf-7d6cf7932be4
🧠 AI/ML

Supervised Machine Learning: Regression and Classification

DeepLearning.AI
Issued Apr 2024
🎡 Music

Musicianship: Tensions, Harmonic Function, and Modal Interchange

Berklee College of Music
Issued Mar 2024
πŸ”¬ Research

Understanding Research Methods

University of London
Issued Jan 2023

Technical Arsenal

πŸ›°οΈ Core Engineering & Data Science

Deep Learning (NN, Keras/PyTorch)
Predictive Analytics (Tree Models, Ensembles)
Control Systems Engineering (ADCS)
Orbital Mechanics & Astrodynamics

πŸ’» Software & Development

Python (NumPy, Pandas, Scikit-learn)
Full-Stack Development (Node.js, React)
Database Systems (SQL, MongoDB)
Version Control (Git, GitHub)