arman Ndjoli

Gained experience analyzing preferences, interpreting trends, and presenting complex information clearly to diverse populations. Strengthened communication, storytelling, and client facing skills valuable in delivering data-driven insights. Developed attention to detail for pattern recognition and customer insight.

Developed proficiency in writing SQL queries using Transact-SQL to retrieve, filter, and sort data. Gained hands-on experience with JOINs, subqueries, aggregate functions, and data manipulation techniques.

Acquired hands-on experience in using Power BI Desktop to import, transform, and model business data. Learned to create calculated columns and measures using DAX to perform in-depth analysis. Built interactive dashboards to visualize KPIs and support strategic business decisions.

Gained expertise in advanced Excel functions and formulas for dynamic data retrieval and logical analysis. Utilized SUMIFS, COUNTIFS, TEXT, DATE, and ROUND functions for complex data aggregation and formatting. Applied advanced formulas and functions to automate calculations and enhance spreadsheet efficiency.

Gained practical skills in using Python and Pandas for data cleaning, transformation, and visualization. Learned to handle missing data, perform statistical analysis to extract meaningful insights from real-world datasets.

Gained a foundational understanding of data analytics. Learned how to define business problems and ask effective analytical questions to guide data projects. Developed skills in identifying reliable data sources and managing data storage. Applied data cleaning techniques using spreadsheets and SQL to prepare datasets for accurate analysis. Performed exploratory data analysis using functions, filte

Learned working with RStudio, data types, and data structures. Gained experience in importing, cleaning, transforming, and visualizing data using R.

Learned the variables, loops, conditionals, and functions to write simple scripts.