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_data/exp.json

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"details": [
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{
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"title": "Smart Sensing and Analytics",
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"description": "MSc. Internship, built a Scikit-Learn \& TensorFlow based Machine-Learning pipeline for classification of LOS\/NLOS 5G \& GNSS signal to further enhance positioning algorithm accuracy. Created Jupyter notebooks for ML-pipeline and documented data preprocessing. Performed ANOVA testing and PCA for feature selection. Migrated code for Kalman filter from MATLAB into python and ran unit-tests to verify and debug code execution.",
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"description": "MSc. Internship, built a Scikit-Learn & TensorFlow based Machine-Learning pipeline for classification of LOS\/NLOS 5G & GNSS signal to further enhance positioning algorithm accuracy. Created Jupyter notebooks for ML-pipeline and documented data preprocessing. Performed ANOVA testing and PCA for feature selection. Migrated code for Kalman filter from MATLAB into python and ran unit-tests to verify and debug code execution.",
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"languages": " Python MATLAB SketchUp Oktal-SE SE-NAV"
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},
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{
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"title": "Sensor Fusion and Localization",
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"description": "Designed a new Positioning Referece Signal for 5G (3GPP Release 16) and compared the positioning accuracy of state of the art with LTE-based OTDOA multilateration. Implemented a MATLAB simulation using a statistical Channel model\& Ray-tracing model of Indoor Office environment.Added PRS module to the company codebase using CI/CD pipeline. Built a GUI to visualize real-time TDOA simulation with mobile base stations.",
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"description": "Designed a new Positioning Referece Signal for 5G (3GPP Release 16) and compared the positioning accuracy of state of the art with LTE-based OTDOA multilateration. Implemented a MATLAB simulation using a statistical Channel model& Ray-tracing model of Indoor Office environment.Added PRS module to the company codebase using CI/CD pipeline. Built a GUI to visualize real-time TDOA simulation with mobile base stations.",
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"languages": "Matlab C++ SketchUp"
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},
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{
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"title": "Smart Sensing and Analytics",
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"description": "Assisted a team in developing a testbed for 5G - New Radio signalling. Preprocessed Bayern state survey data to generate a 3D model of the city for channel modelling. Executed moving \& coverage simulations for 5G \& GNSS networks. Performed remote-controlled tests using Sim-Gen via python scripts over TCP/IP for GNSS \& 5G hybrid positioning.",
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"description": "Assisted a team in developing a testbed for 5G - New Radio signalling. Preprocessed Bayern state survey data to generate a 3D model of the city for channel modelling. Executed moving & coverage simulations for 5G & GNSS networks. Performed remote-controlled tests using Sim-Gen via python scripts over TCP/IP for GNSS & 5G hybrid positioning.",
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"languages": " Python MATLAB SketchUp Blender Spirent SimGEN Oktal-SE SE-NAV"
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}
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]

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