Analysing the impact of migrants on the German labor market taking in consideration the percentage of foreigners in Germany, Asylum seekers, unemployment rate, GDP growth, the supply of vacancies in the German labor market over the time.
projecting the population of Germany for the next 45 year with low, medium and high migration balance.
correlation of the numbers of native vs foreign workers in Germany.
visualising the most critical sector of the labor market in Germany and showing the percentage of migrants' participation in these sectors.
creating the required charts, diagrams and graph using the most often used tools such as Python, PostgreSQL and Teableau Desktop & Public.
processing a report clarifying the results.
2017
FINRA Assistant Representative Order Processing (Series #11)
2017 - 2018
Anti-Money Laundering for Broker Dealers
2018
Annual Compliance Reminders for Institutional Registered Representatives.
Business Analyst at [Company on request].
Responsibilities:
Profile
Dynamic professional with a robust background in business analysis, project management, and data analysis within diverse industries. Proven track record in supporting strategic decision-making through comprehensive research, insightful analytics, and actionable insights. Skilled in optimizing processes and driving efficiencies through meticulous project leadership and coordination. Proficient in leveraging advanced Python, SQL, Excel and Tableau tools to deliver impactful reports and visualizations. Adept at fostering collaborative relationships across departments to ensure seamless project execution. Ready to contribute expertise in enhancing operational effectiveness and driving business growth.
Skills
Data Analytics & Visualization:
Python, SQL (PostgreSQL), Tableau, Excel (VLOOKUP, Pivot Tables), Power BI.
Project Management:
Reporting, KPIs tracking, stakeholder management, and process optimization.
This project involves extracting data, performing exploratory data analysis (EDA), and utilizing APIs for data acquisition. Key tasks include data wrangling and cleaning to prepare the dataset for analysis. The study focuses on uncovering correlations and conducting regression analysis using Python. Finally, visualizations will be created in Tableau to present insights effectively.
Analysing the impact of migrants on the German labor market taking in consideration the percentage of foreigners in Germany, Asylum seekers, unemployment rate, GDP growth, the supply of vacancies in the German labor market over the time.
projecting the population of Germany for the next 45 year with low, medium and high migration balance.
correlation of the numbers of native vs foreign workers in Germany.
visualising the most critical sector of the labor market in Germany and showing the percentage of migrants' participation in these sectors.
creating the required charts, diagrams and graph using the most often used tools such as Python, PostgreSQL and Teableau Desktop & Public.
processing a report clarifying the results.
2017
FINRA Assistant Representative Order Processing (Series #11)
2017 - 2018
Anti-Money Laundering for Broker Dealers
2018
Annual Compliance Reminders for Institutional Registered Representatives.
Business Analyst at [Company on request].
Responsibilities:
Profile
Dynamic professional with a robust background in business analysis, project management, and data analysis within diverse industries. Proven track record in supporting strategic decision-making through comprehensive research, insightful analytics, and actionable insights. Skilled in optimizing processes and driving efficiencies through meticulous project leadership and coordination. Proficient in leveraging advanced Python, SQL, Excel and Tableau tools to deliver impactful reports and visualizations. Adept at fostering collaborative relationships across departments to ensure seamless project execution. Ready to contribute expertise in enhancing operational effectiveness and driving business growth.
Skills
Data Analytics & Visualization:
Python, SQL (PostgreSQL), Tableau, Excel (VLOOKUP, Pivot Tables), Power BI.
Project Management:
Reporting, KPIs tracking, stakeholder management, and process optimization.
This project involves extracting data, performing exploratory data analysis (EDA), and utilizing APIs for data acquisition. Key tasks include data wrangling and cleaning to prepare the dataset for analysis. The study focuses on uncovering correlations and conducting regression analysis using Python. Finally, visualizations will be created in Tableau to present insights effectively.