Evans Musembi

• Creating dynamic and interactive web pages using Typescript and python frameworks (e.g., Angular and django) and handling APIs(Django rest api)
• Developed a thorough understanding of the software development life cycle through hands-on experience.
• Upgraded products to deliver smooth-running systems.
• Developed strong problem-solving skills by troubleshooting complex issues during the internship period.
• Acquired knowledge about industry best practices concerning security measures when implementing new modules or modifying existing ones.
• Participated in brainstorming sessions to generate innovative ideas, leading to several successful project outcomes.
• Created responsive and mobile-friendly designs that work across various devices and screen sizes
• Optimized code performance by identifying bottlenecks and refactoring for improved efficiency.
• Worked with developers to identify and remove software bugs.
• Showcased excellent time management skills while juggling multiple tasks simultaneously under tight deadlines.
• Participated actively in peer-to-peer learning opportunities which helped expand personal skillset as well as foster a collaborative work environment.
• Ensuring that web applications work consistently across different web browsers.

1. Data Collection and Cleaning: Gathered data from various sources, such as databases, spreadsheets, or APIs. These involved removing duplicates, dealing with missing values, and ensuring data

integrity.

2. Data Analysis: Running statistical analyses to identify patterns, trends, and correlations within the data. These included using tools like

Excel.

3. Data Visualization: Creating visual representations of data using graphs, charts, and dashboards to communicate insights effectively to non-technical stakeholders.

4. Reporting: Compiling regular reports

summarizing key findings, metrics, and performance indicators. These reports helped in decision-making.

5. Data Interpretation: Translating

complex data findings into actionable insights that can guide business strategies

or decisions.

6. Optimized SQL queries for faster processing times, increasing overall productivity within the team.

7. Assisted management in making informed decisions by presenting clear and concise reports detailing analytical findings.