Debarjun chakraborty
@debarjunchakraborty
Data science researcher at Newcastle University building satellite telemetry anomaly detection with 92% accuracy.
United KingdomWhat I'm looking for
At Newcastle University, I’m developing a satellite telemetry feature-extraction adapter that achieved 92% anomaly detection accuracy across 2,123 variable-length segments. I also re-engineered six digital signal processing blocks in Python, reducing preprocessing crashes by 25% during streaming evaluations.
For a space autonomy project at Newcastle University, I’m simulating a relay architecture featuring 200 LEO satellites. My evaluations showed a 40% reduction in end-to-end payload latency and increased successfully transmitted telemetry payloads from 50% to 90%.
As a Machine Learning Research Intern at Newcastle University, I engineered GUARDIAN, a neural architecture for imputing missing IoT water meter data. It achieved 99.9% reconstruction accuracy in simulated blackout scenarios, and its masking strategy outperformed baseline imputation methods by 18% in physical realism and model plausibility ratings.
As a Data Analyst Intern at Newcastle University, I developed a Python ETL pipeline that harmonized library access logs and processed 2,634,210 events into a unified dataset. I also combined inventory and usage data to build KPIs for dashboards evaluating resource use and digital versus physical formats.
Experience
Work history, roles, and key accomplishments
Research Assistant Intern (Satellite Telemetry & DSP)
Jun 2026 - Present (4 months)
Developing a time-series DSP feature-extraction adapter for satellite telemetry, achieving 92% anomaly detection accuracy on resource-constrained CubeSat architectures. Re-engineering DSP C-blocks into Python, reducing preprocessing crashes by 25%.
Designing a Sub-Orbital Relay Node architecture with 200 LEO satellites to extend ground communication windows by 2x. Evaluating optical inter-satellite links and edge-compute algorithms, reducing payload latency by 40%.
Developed a Python ETL pipeline to harmonize library access logs, processing 2,634,210 events and eliminating Power BI crashes. Coalesced inventory and usage datasets to track 307,200 student engagement events and engineered custom KPIs.
Engineered GUARDIAN, a retrieval-augmented neural network for imputing missing IoT water meter data, achieving 99.9% reconstruction accuracy. Designed a 12-scenario masking strategy and standardized 123,000 telemetry readings.
Education
Degrees, certifications, and relevant coursework
Newcastle University
Master of Science, Data Science and Artificial Intelligence
2025 -
Grade: Distinction (predicted)
Pursuing an MSc in Data Science and Artificial Intelligence with a predicted grade of Distinction, covering machine learning, deep learning, and generative AI.
University of Mumbai
Bachelor of Science, Computer Science
2022 - 2025
Grade: First Class Honours
Completed a BSc in Computer Science with UK First Class Honours, including coursework in Python, statistics, database management, and cloud computing.
Newcastle University
NCL+ Award, Award
Awarded the NCL+ Award for extracurricular achievement and contribution to the university community.
Postman
Postman API Fundamentals Student Expert, API Fundamentals
Certified as a Postman API Fundamentals Student Expert, demonstrating proficiency in API development and testing.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Salary expectations
Job categories
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