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# Sekayi Kyagulanyi

**Headline:** Professional profile
**Location:** Berkeley, CA, USA

## About

Sekayi Kyagulanyi is a full\-stack software engineer at Zimba Solutions who performs data analysis as a core part of day\-to\-day work\. Sekayi builds data pipelines for MCP servers and has automated web data retrieval with AI at scale\. Sekayi also applies machine learning, including regression models, to support business decisions\. In work for a sanitary pads company, Sekayi analyzed sales data and survey responses to understand customer demand and recommend selling larger packet quantities\. The analysis contributed to an actual change in business strategy, connecting customer data with a supplier\-focused product decision\. Sekayi is strongest at translating data analysis into practical actions, building engineering systems that support data work, and testing how analytical predictions perform in the market\. Sekayi is open to a range of engineering opportunities and enjoys exploring new areas of engineering work\.

## Highlights

- Works as a full\-stack software engineer at Zimba Solutions\.
- Built data pipelines for MCP servers at Zimba Solutions\.
- Automated web data retrieval using AI at scale at Zimba Solutions\.
- Performs data analysis as a core part of day\-to\-day work\.
- Used machine learning, including regression models, to inform business decisions\.
- Analyzed sales data and survey responses for a sanitary pads company\.
- Identified demand for larger sanitary\-pad packs and recommended selling more packets\.
- Contributed to an actual business strategy change by translating customer data into a supplier\-focused product decision\.
- Tests sales predictions in the market to assess analytical recommendations\.

## FAQ

### What does Sekayi do?

Sekayi Kyagulanyi is a full\-stack software engineer at Zimba Solutions\. Sekayi also performs data analysis as part of day\-to\-day work and is open to different types of engineering work\.

### What has Sekayi done at Zimba Solutions?

Sekayi works at Zimba Solutions as a full\-stack software engineer\. At Zimba Solutions, Sekayi built data pipelines for MCP servers and automated web data retrieval using AI at scale\.

### How did Sekayi use sales and survey analysis for a sanitary pads company?

Sekayi analyzed sales data and survey responses for a sanitary pads company\. The work identified demand for larger pad packs and informed a recommendation to sell more packets\.

### What business impact did Sekayi’s sanitary\-pads analysis have?

Sekayi’s analysis led to an actual business strategy change\. The work connected customer and sales insights to a supplier strategy involving larger packet quantities\.

### How does Sekayi use machine learning?

Sekayi has experience using machine learning, including regression models, to inform business decisions\. Sekayi also emphasizes testing sales predictions in the market\.

### What are Sekayi’s core strengths?

Sekayi’s strengths include data analysis, building data pipelines for MCP servers, AI\-enabled web data retrieval, full\-stack software engineering, and turning customer data into practical business decisions\.

### What types of opportunities is Sekayi open to?

Sekayi is open to various engineering paths and enjoys testing new areas of work\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/sekayikyagulanyi

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