Eddwin Cheteni

Eddwin Cheteni currently serves as a Data Analyst at eRoute2market (Pty) Ltd, where he plays a pivotal role in transforming raw sales data into actionable insights that drive strategic decision-making. His expertise in querying and managing large datasets using both MongoDB and SQL databases in Python and R enables the company to maintain a high level of data integrity and accessibility. Eddwin’s proficiency in navigating complex file systems, including JSON files via command line, allows him to efficiently organize and preprocess diverse data sources, ensuring seamless integration into the company's data pipelines.

At eRoute2market, Eddwin is instrumental in developing robust data pipelines that handle data cleaning, missing value imputation, and categorical feature encoding—crucial steps for accurate predictive modeling. His experience in building machine learning models, including regression and classification algorithms, supports the company's efforts in sales forecasting, customer segmentation, and demand prediction. Eddwin’s skills in hyper-parameter tuning and cross-validation optimize model performance, ensuring reliable and scalable solutions.

His current projects involve consolidating daily sales data from multiple sources such as MySQL databases, spreadsheets, and FTP files, then cleaning and validating this data to maintain quality and consistency. Eddwin also matches new buyers with existing database records, enhancing customer profiling and targeting strategies. Leveraging tools like Microsoft Azure, H2O.ai, and SQLite, he deploys scalable data analysis solutions and web applications that facilitate real-time insights. Eddwin’s comprehensive skill set in data wrangling, system deployment, and model optimization positions him as a key contributor to eRoute2market’s data-driven growth initiatives.