
Milan Waghmare
- Rheine, Deutschland
I'm Enthusiastic and dedicated data analyst with a strong foundation in data collecting, loading, and analysing data. Having recently completed a comprehensive data analytics boot camp where I gained hands-on experience in various aspects of data science, including data collection, data cleaning, data analysis, and data visualization.Throughout the boot camp, I actively engaged in multiple projects, allowing me to apply a wide range of tools and techniques used in data analysis, such as Python (Pandas | Numpy | Matplotlib | Seaborn | Plotly Plot | Scikit-Learn), Visualization Tools (Tableau | Power BI), Cloud Computing (AWS - S3 Buckets | Redshift ), running Python scripts using DockerImage, MySQL, Dbeaver, Apache Spark, Kafka and GitHub repository. I have knowledge of popular Python libraries, including Pandas, NumPy, Seaborn,Plotly, Sklearn, and experience in machine learning projects using various algorithms such as Decision Tree, Linear Regression, Classification model. These experiences have equipped me with the technical skills and proficiency needed to excel in the field of data analysis.My journey into data analysis began during my time as an HR professional, where I spearheaded various data-driven analysis, generating reports and metrics related to HR attrition rates, employee satisfaction, and employee performance measurement. I also delved into predictive analysis to provide valuable insights for strategic decision-making.To delve deeper into my expertise and experiences, feel free to connect with me on LinkedIn or reach out via email at milanwaghmare@yahoo.com. Let's connect and explore opportunities together!I'm Enthusiastic and dedicated data analyst with a str
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Berufswunsch
Analyst (m/w/d)
- Bank-, Finanz- und Versicherungswesen, Wirtschaft und Finanzen
Mein bisheriger Werdegang
- 04/2024 - 04/20241 Monat
Analyst (m/w/d)
- 03/2023 - 09/20236 Monate
Studium: Data Analyst
- 03/2023 - 03/202411 Monate
Analyst (m/w/d)
- 01/2011 - 04/20209 Jahre, 2 Monate
HR-Manager (m/w/d)
- 06/2005 - 05/20071 Jahr, 11 Monate
Studium: Human Resource
- 06/2000 - 04/20043 Jahre, 10 Monate
Studium: Management