Jana Becker

Computer Vision Lawn Diseases

Mainz, Germany
Experience
Jun 2023 - Present
2 years 2 months

Computer Vision Lawn Diseases

Sommerfeld AG

  • Automated detection of lawn diseases using CNNs, including semantic segmentation.
  • Built a platform for quick and easy labeling of new datasets.
  • Tools: Python, Tensorflow, Keras, AWS (S3), Docker, LabelStudio
Dec 2022 - May 2022
-1 years -6 months

Webapp Pharma

Ecker + Ecker GmbH

  • Coordinated my own team.
  • Converted a monolithic software in the pharmaceutical sector from an on-premises system to a web application.
  • Tools: Python, VueJs, Quasar, Docker
Oct 2022 - Present
2 years 10 months

AI Platform

R+V Versicherung AG

  • Built an AI platform for semi-automated processing of large data volumes with machine learning and ETL pipelines in a large team of developers and data scientists.
  • Secure handling and explainable black-box processing of sensitive data.
  • Monitored systems and visualized processes using monitoring and reporting tools (ELK).
  • Tools: Kafka, Django, PostgreSQL, Python, Docker, ELK Stack (Logstash, Elasticsearch, Kibana), AWS (S3), Airflow
Feb 2022 - Apr 2022
3 months

HR Clustering

Aconso

  • Developed a prototype (SaaS) for improved searching, classification, and analysis of HR documents.
  • Tools: cluster analysis, word embedding, ELK Stack, Python, scikit-learn, VueJs, Flask, Docker
Jan 2022 - Present
3 years 7 months
Wiesbaden, Germany

Data Scientist

masem research institute GmbH

  • I advise clients on data science and machine learning projects.
  • For the largest client, R+V, I design in an eight-person team the architecture for ETL pipelines of an AI platform for semi-automated processing of sensitive customer data.
  • Modernize the project's tech stack with Docker and Elasticsearch and train my colleagues in monitoring and reporting with the ELK Stack.
  • For another client that builds golf courses, I develop an ML application for quick detection of lawn diseases (using a fine-tuned MobileNetV2 and semantic segmentation).
  • In a completed project, I led the team and managed the project to convert an existing monolithic on-premises system into a web application.
Aug 2021 - Jul 2022
1 year

Site Search

RWE AG

  • Consulting to optimize the search functionality of the corporate website and related data engineering processes.
  • Improved user experience with search suggestions and input completion.
  • Tools: ELK Stack, Lucene/Solr, Python, Flask, Docker
Apr 2021 - May 2021
2 months

Application Monitoring & Logging

Trumpf

  • Consulting to collect, analyze, and visualize system-relevant information and logs from various data sources with the ELK Stack.
  • Built a dashboard for system monitoring.
  • Tools: ELK Stack, Python, Docker
Feb 2021 - Oct 2022
1 year 9 months

Security Portal

Anonymous client

  • Created a system (SaaS) for data collection, visualization, and analysis of security-relevant information from various data sources.
  • Relevant security aspects.
  • Tools: ELK Stack (Logstash, Elasticsearch, Kibana), Python, Flask, VueJs, Quasar, Docker
Jul 2020 - Jan 2021
7 months
Mannheim, Germany

Learning Analytics Profiles (LeAP)

Universität Mannheim

  • Created an MVP for an evaluation platform to measure student learning progress.
  • Integrated into an existing system.
  • Tools: Elasticsearch, Logstash, VueJs, PHP, SQL (MariaDB), Docker
Feb 2019 - May 2019
4 months

Data Science Hackathon

J on the Beach (Tech Konferenz)

  • Prepared and supervised a hackathon as part of an IT conference on exploring NLP use cases using a microservice framework.
  • Tools: Roxcomposer, scikit-learn, nltk, gensim, Flask, Elasticsearch
Jan 2019 - Dec 2022
4 years
Mainz, Germany

Fullstack Developer (Machine Learning)

droxIT GmbH

  • I worked on both in-house software products and client projects.
  • Played a key role in developing the company's main product, a search technology ("Rocket Search", 05/2019 - 10/2022): The software replaces the search bar on the client's website, crawls page content and indexes it in Elasticsearch to present it to end users in an intelligent search function. Keywords include result quality, improved search suggestions ("did you mean?"), autocomplete, filters, and a portal where user behavior is tracked and analyzed in a dashboard. You can also make settings such as boosting certain keywords, creating synonyms, or setting exclusions. Tools: Elasticsearch, Kibana, Scrapy, Python, VueJS, Flask, Docker, nginx, Gitlab Runner.
  • Developed the internal "Sales Tool" (07/2021 - 03/2022): A single page application for tracking and analyzing internal sales processes and customer management. Tools: Elasticsearch, Kibana, VueJs, Python, Flask, Docker, nginx.
  • Completed an open source microservice software ("Roxcomposer", 10/2018 - 04/2019): Developed a framework for creating machine learning pipelines that outsources steps like tokenization into reusable microservices and lets you assemble them via a GUI. Tools: Elasticsearch, Python, Django, scikit-learn, nltk, gensim.
  • In client projects I also worked daily with the ELK Stack, developed ETL pipelines, and built full-stack web applications for data processing and visualization.
Jan 2016 - Dec 2019
4 years
Mainz, Germany

Student Research Assistant

Johannes Gutenberg-Universität

  • Tutor for the courses Artificial Intelligence, Programming Languages, and Software Development.
Jan 2016 - Dec 2016
1 year
Mainz, Germany

Student Research Assistant

Universitätsmedizin

  • Analysis of patient data (neurological DTI scans) from patients with multiple sclerosis.
Languages
German
Native
English
Advanced
Russian
Advanced
Swedish
Intermediate
Education
Oct 2016 - Jun 2020

Johannes Gutenberg-Universität

M.Sc. · Natural Science Informatics · Mainz, Germany · 1,6

Oct 2013 - Jun 2016

Johannes Gutenberg-Universität

B.Sc. · Computer Science · Mainz, Germany · 2,2

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