Analyst

Wallstreet Forex

1. Data Collection and Cleaning:
2. Gathering data from various sources, such as databases, spreadsheets, APIs, and more.
3. Ensuring data accuracy and reliability by cleaning and preprocessing data to remove inconsistencies, errors, and duplicates.
4. Data Analysis:
5. Performing exploratory data analysis (EDA) to understand the structure and characteristics of the data.
6. Applying statistical techniques to identify patterns, correlations, and trends within the data.
7. Conducting hypothesis testing and A/B testing to validate assumptions and make data-driven decisions.
8. Data Visualization:
9. Creating visualizations, such as charts, graphs, and dashboards, to communicate insights effectively to non-technical stakeholders.
10. Using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to create meaningful visual representations of data.
11. Report Generation:
12. Generating comprehensive reports and presentations that summarize findings, insights, and recommendations.

Blockchain Engineer

Silicon Swap

1. I am developing blockchain architectures, smart contracts, and decentralized applications.
2. Ensuring security measures, optimizing performance, integrating blockchain with existing systems, and staying updated on blockchain advancements and emerging technologies.
3. Collaborating with cross-functional teams and contributing to the overall blockchain strategy are also key responsibilities.

Chukwuemeka Odumegwu Ojukwu University

Science