• Gained in-depth knowledge of AI algorithms, focusing on machine learning and NLP enhancements. I developed and managed synthetic databases with over 5 million entries, including data generation, validation, and preprocessing.• Trained a Random Forest model using data sourced from AWS S3 via API calls, improving performance with pre-defined modules in a Jupyter notebook on an AWS instance.• Utilized Jira for issue tracking and project management to streamline workflows and ensure efficient project progression.

• Conducted data preprocessing, capture, and exploratory data analysis (EDA) on datasets with over 400,000 rows and 80 columns. • Generated a comprehensive EDA report detailing variable correlation, feature engineering, missing value treatment, and outlier detection using K-means and Hierarchical clustering algorithms. This analysis identified significant trends and correlations, providing valuable insights for decision-making.• Developed supervised and unsupervised machine learning models to predict household poverty and program eligibility. Achieved reliable and accurate predictions with a Gradient Boosting Model, attaining an F1 score of 91%.• Prepared a detailed report for KfW, explaining the collected data clearly and thoroughly.

• Contributed to developing a Python-based program for managing sales, inventory, and finances for a confectionery business.• Conducted comprehensive business analytics, including univariate and bivariate analyses, to identify areas for improvement and assess financial performance.• Created data visualizations, including charts, graphs, and heat maps, to provide actionable insights on daily sales trends and popular products.• Utilized industry-standard libraries such as Pandas, Seaborn, and Matplotlib to produce visual representations of sales patterns, client numbers, and revenue relationships.• Identified significant trends and correlations through visualizations, enabling better business decisions.

• Assisted senior programmers in preparing various program requirements for a software to support social emergency/disaster programs in Malawi. I also assisted in software testing requirements through each phase• Assisted in the preparation of IT material, such as PTT's, needed for conferences and training. Also filtered raw data and executed data analysis for social protection projects.• Contributed to the data collection process by administering surveys and ensuring the systematic acquisition of valuable information.

Created a sophisticated software solution, utilizing the C programming language, to optimize and streamline the operational processes of a gaming store, particularly in relation to payment management and financial tracking. This robust program was designed to enhance efficiency and accuracy by seamlessly handling various payment methods, including associated costs and transactions.By implementing this system, the gaming store was empowered to maintain meticulous records of daily earnings, providing a comprehensive overview of financial performance. Additionally, the software facilitated meticulous inventory management, ensuring real-time monitoring of stock levels, product availability, and replenishment requirements.The software's advanced functionalities enabled the gaming store to effectively track and analyze sales data, identify trends, and make informed decisions to optimize profitability. With its intuitive user interface and seamless integration with existing systems, the program served as a reliable tool to enhance overall operations, enabling the store to provide an efficient and streamlined experience for both customers and staff.