Tenzin Tsering

Experience

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  ZIGPOS GmbH

  Jul 2014 - Sept 2014

  Student Intern as Embedded System Programmer

  Worked on a project namely, “Home automation system ” , strives to control households appliances wirelessly and securely with use of sensors in a Personal Area Network. I gained experience in Embedded Programming and Wireless Network Analysis.

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  TobyRich GmbH

  Jan 2015 - Jan 2016

  Student Intern as Software Developer

  Worked in a software team in developing cross-platform mobile application software that controls low energy bluetooth drones. Work includes coding in QT and Vplay for implementation of designing, engaging in code reviews and project management in version control systems like Git, and finally testing it's performance. Moreover, I really enjoyed the freedom at the same time learnt how to be more self reliant and take responsibilities in a small startup company.

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  Jacobs University Bremen

  Sept 2016 - Jan 2019

  Researcher under the supervision of Prof.Dr. Adalbert Wilhelm. Successfully produced master thesis titled "Unstructured text analysis using IBM Watson Cloud Analytics". Unstructured text from human generated documents, web sites, social media are extracted using APIs, and then 4 use cases in areas such as NLU and Personality Insights were developed to analyse general public sentiment towards brands(brand monitoring) namely Apple v/s Samsung. Moreover, Personality characteristics based on Big 5 model were also analysed based on subject's tweets. Weniger anzeigen

  • Graduate data science researcher

    Feb 2017 - Jan 2019

  • Research Project Lead

    Sept 2016 - Jun 2018

  • Graduate Teaching Assistant

    Sept 2016 - Apr 2017
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  Freelance, self-employed

  Jan 2019 - Feb 2020

  Junior Data Scientist / Engineer

  Building Machine Learning pipelines - Implemented Artificial Neural Network & Gradient Boosting Trees for predicting churn rates. Developed a robust classification model with a grid search possibility to find the best algorithm for predicting advertisement responsiveness. Leveraged regression algorithms for predicting salaries.Big Data Management - Processed big data with AWS Lambda and Glue ETL. Moved and transformed massive data streams with Kinesis. Stored big data with S3 and Dynamo DB in a scalable and secure manner. Analyzed big data with Kinesis Analytics, Amazon Elasticsearch Service and Redshift. Constructed full life cycle custom ML models on google cloud platform. Exploited cloud Dataprep and Dataflow for data cleansing and preparation. Utilized Datalab/Colab for building and evaluating models and also tuning hyperparameters. Leveraged managed native container, ML engine to train and deploy models.Built pipelines using Apache Beam and Cloud Dataflow for ETL jobs. Designed big data warehouse using BigQuery. Weniger anzeigen

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  Vesseltracker.com, A Wood Mackenzie Business

  Feb 2020 - now

  IoT Engineer