CV
Contact Information
| Name | Mandar Hemant Chandorkar |
| Professional Title | Data Scientist - Machine Learning |
| mandar2812@gmail.com | |
| Location | , Amsterdam, North Holland |
Professional Summary
Data scientist and machine learning researcher with expertise in probabilistic forecasting, Gaussian processes, deep learning, and MLOps. PhD in Applied Physics with a focus on Machine Learning in Space Weather.
Experience
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2019 - 2025 Amsterdam, the Netherlands
Data Scientist - Machine Learning
Connecterra B.V.
Working on machine learning solutions for dairy herd management, including health alerts, fertility prediction, and edge deployments.
- Actionable and reliable health alerts for dairy herds
- Adapting smart fertility alerts for new markets
- Built customised ML experimentation platform
- Large scale model evaluation pipelines for relevant KPIs
- Quantisation of ML models for power savings on sensor deployments
- Running ML models as real-time asynchronous microservices
- Model deployment using Docker and Kubernetes
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2015 - 2019 Amsterdam, the Netherlands
Researcher
Centrum Wiskunde en Informatica
Research on machine learning methods for space weather forecasting and geomagnetic field modeling.
- Developed a novel neural network approach for predicting speed and arrival time of solar wind
- State of the art probabilistic forecasts of geomagnetism by combining GP and LSTM models
- Uncertainty Quantification of radiation belt physics using Gaussian Process methodology
- Developed an open source computational toolbox for ML applications in Space Weather
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2012 - 2014 Bangalore, India
Software Engineer - Data Engineering
Perk.com
- Built reporting dashboards for monitoring product metrics
- Hadoop pipelines for aggregating usage data
Education
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2014 - 2019 Eindhoven, the Netherlands
PhD
Technische Universiteit Eindhoven
Applied Physics
- Machine Learning in Space Weather
- Probabilistic forecasting
- Bayesian parameter identification
- Uncertainty quantification
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2014 - 2015 Leuven, Belgium
Master of Science
Katholieke Universiteit Leuven
Artificial Intelligence
- Thesis: Large scale implementation of the FS-LSSVM model for classification in Scala
- Gaussian Processes and Least Squares SVM
- Neural Networks
- Computer Vision
- Logic Programming
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2011 - 2012 Kharagpur, India
Master of Technology
Indian Institute of Technology Kharagpur
Industrial Engineering
- Thesis: Combinatorial optimization of manufacturing assembly lines
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2007 - 2011 Kharagpur, India
Bachelor of Technology
Indian Institute of Technology Kharagpur
Manufacturing Science
- Thesis: Modelling of coupled vibrations of storage tank - fluid systems
Awards
Publications
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2014 DynaML: A Scala environment for machine learning
GitHub
A Scala environment REPL for Machine Learning
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2014 PlasmaML: Machine Learning tools for Plasma and Space Physics
GitHub
Machine Learning tools for Plasma and Space Physics
Skills
Machine Learning (Expert): Gaussian Processes, Deep Neural Networks, Time-series Models, Probabilistic Forecasting, Bayesian Inference
MLOps (Advanced): Docker, Kubernetes, Microservices, Model Deployment, Experimentation Platforms
Programming (Expert): Scala, Python, Java, SQL
Languages
English : Fluent
Marathi : Native speaker
Hindi : Fluent
Interests
Applied Mathematics: Physical Systems, Bayesian Inference, Stochastic Processes
Machine Learning: Time-series Models, Gaussian Processes, Deep Neural Networks