Prakash Gautam
@prakashgautam
I build machine-learning pipelines that turn complex sensor, geospatial, and time-series data into actionable insights.
What I'm looking for
I've built data-driven detection pipelines at Dryad GmbH that reduced event-detection latency by 66%, from 45 seconds to 15 seconds, through compensation-logic optimisation and diffusion-rate modelling.
Across HNE Eberswalde and 5micron GmbH, I've developed Python ETL workflows, applied statistical testing and regression analysis, and processed large multi-source geospatial datasets spanning approximately 2,380 polygons across three German federal states. My work combines data ingestion, cleansing, modelling, validation, visualisation, and technical reporting.
I'm looking to bring Python, R, machine learning, forecasting, and rigorous statistical inference to credit risk, customer analytics, fraud detection, and forecasting initiatives.
Experience
Work history, roles, and key accomplishments
Graduate Researcher / Data Analyst
Hochschule für Nachhaltige Entwicklung (HNE)
May 2024 - Feb 2025 (9 months)
Designed a quantitative meta-analysis framework synthesizing findings from 100 peer-reviewed studies and engineered a comparative RMSE evaluation framework for positioning algorithms. Performed multivariate analysis to quantify impacts on positional accuracy and distilled conflicting evidence into unified recommendations.
Education
Degrees, certifications, and relevant coursework
Hochschule für Nachhaltige Entwicklung Eberswalde
Master of Science, Forest Information Technology
2019 - 2025
Pursued a Master of Science in Forest Information Technology with a specialization in GIS, spatial analysis, remote sensing, machine learning, and statistical modelling. Completed a thesis on GNSS positioning in forest environments.
Availability
Location
Authorized to work in
Job categories
Skills
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