Benjamin Nyandega
Data Analyst with 3+ years of experience leveraging computational statistics and machine learning to deliver accurate and scalable data solutions for optimal business operations.
Data Analyst with 3+ years of experience leveraging computational statistics and machine learning to deliver accurate and scalable data solutions for optimal business operations.
...from analytics to automation and prediction...
Transforming raw data into meaningful insights using Python, SQL, Power BI, and Tableau to drive better decisions.
Designing scalable data pipelines and automating workflows using Azure Data Factory, Logic Apps, and SQL tools.
Building predictive models to forecast trends and solve business problems using Python, scikit-learn, and TensorFlow.
From dashboards to automation, here are examples of how I apply data to solve business problems.
Built an automated ETL pipeline using Azure Data Factory and SQL to streamline retail sales reporting, reducing manual effort and latency by 60%.
Tools: ADF, SQL, Logic Apps, Data Lake
Developed an interactive Power BI dashboard to track and analyze churn trends, supporting marketing decisions that cut churn by 12%.
Tools: Power BI, DAX, SQL, Excel
Created a SARIMA model in Python to predict weekly inventory needs for a warehouse, cutting overstock by 18%.
Tools: Python, Pandas, Statsmodels, Jupyter
Automated real-time KPI tracking and notifications using Python, APIs, and Slack webhooks to alert teams on critical metric changes.
Tools: Python, REST APIs, Slack Webhooks, Automation
Cleaned and standardized 100,000+ public health records, addressing missing values and inconsistent codes for accurate downstream analysis.
Tools: Python, Pandas, Data Profiling, Jupyter
Performed customer segmentation using K-Means clustering to inform targeted marketing campaigns and improve customer engagement by 22%.
Tools: Python, scikit-learn, Matplotlib, Jupyter