u/Beginner4ever

Applied ML researcher / engineer open to freelance or contract work (forecasting, digital twins, data apps)

I work mostly on applied machine learning problems involving forecasting, reliability, and complex systems.

Previously worked as a postdoctoral researcher in the Netherlands on an EU-funded project focused on AI for engineering systems.

My background is in:

• Global time-series forecasting
• Digital twins for engineering systems
• Explainable ML and clustering
• Network / telemetry analysis
• Building interactive data tools and dashboards

Most of my work has been around situations where data is limited, noisy, or expensive to collect, but predictions still need to be reliable.

Projects I’ve worked on include:

• Lifetime prediction for physical systems
• Forecasting across thousands of related time series
• ML for network telemetry / SDN environments
• Deployable research tools for engineers and non-technical teams

Tech stack is mainly Python (LightGBM, CatBoost, scikit-learn, Streamlit), plus some C# for custom engineering tools and interfaces.

I also enjoy building interactive ML/visualization apps. Recently I’ve been experimenting with:

• semantic mapping tools
• language-learning/data-exploration apps
• Fined tunned and distilled models( available on Huigging Face)
• research-oriented Streamlit applications

Current interests: complex systems, higher-order interactions/networks, forecasting, and applied AI. I love decomposing complexity.

Published first-author work in applied ML / forecasting, and currently open to:

• freelance ML work
• research collaborations
• Modeling complex systems projects( network data, transportation/logistic/ communitcation/ social network data)
• dashboard/data-app development
• digital twin prototypes
• longer-term remote contracts

my base rate is €70/hour. I am also open to discussing fixed-price project milestones for specific deliverables (e.g., building a specific forecasting model or custom dashboard).

What I can build:

• forecasting systems for sparse or short time series
• digital-twin prototypes for degradation, drift, and reliability monitoring
• network data analysis pipelines for telemetry, port statistics, and anomaly detection
• explainable ML dashboards in Streamlit for engineers and researchers

Background:

• postdoctoral applied ML / digital twin work
• first-author ACM TIST paper on time-series forecasting + clustering
• AI for Networks experience: graph-network analysis.
• experience building usable Python/Streamlit tools, not just models

Good fit:

• sensor / equipment / reliability data.
• network data analysis and modeling.
• Data anlyasis in general.

Payment method::

• I live in EU, Netherland. So any legal payment method is okay.
• Rate: $35–$75/hour depending on scope, or fixed-price for well-defined projects. Minimum engagement: small paid pilot / prototype.