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Besides Project Management and market research, I am experienced in Talent Acquisition with focus on Recruiting, HR Projects and Onboarding, but also worked with data in a Data Science bootcamp and in People Analytics. It wasn't only Recruiting Analytics but also analytics in e.g. L&D, Workforce, Diversity and Retention & Exit Interviews. During the Data Science bootcamp at neue fische for which I learned the programming language Python without any previous knowledge, I worked with data from datasets in Real Estate and weather and other data to predict air quality (including Machine Learning) and also created PPT for defined target groups and stakeholder. Find my notebooks from neue fische but also ongoing projects on Git: https://github.com/IronMan2483 Notebook about Attrition & Diversity: https://github.com/IronMan2483/HR_Analytics_IBMDataset Soon: Notebook about Resume Screening & Job Description Matching Capstone final presentation about imbalance energy price prediction (exploratory data analysis, time series and machine learning): https://www.youtube.com/watch?v=BiMvUGV7Gto&t=119s Languages, Python, Data Science, Data Analytics, Matplotlib, Seaborn, Git, Kanban, Agile Working, NoSQL, People Analytics, Data Analysis, SAP Business Warehouse interests: Gardening, Smart Home, MCU, Streaming Recruiting, Executive Search, Active Sourcing, Renewables, Automotive, Project Management, HR, Consulting, Employer Branding, Workday, Lumesse Talentlink, SAP SuccessFactors, Talent Acquisition #teamironman #neurodiverse
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