- Data Cleaning & Preparation: Ensure data integrity and accuracy by meticulously cleaning and preparing datasets, handling inconsistencies, and addressing missing values using tools like Excel, Python, and SQL.- Data Manipulation & Analysis: Leverage advanced techniques in Python, SQL, and R to manipulate large datasets, perform statistical analyses, and uncover actionable insights by identifying trends and patterns.- Data Visualization: Create compelling, easy-to-understand visualizations using Tableau, Power BI, and Excel, enabling stakeholders to make informed, data-driven decisions with confidence.- Data Automation & Reporting: Streamline processes by building automated workflows and reports, utilizing tools like VLOOKUP, Pivot Tables, and Python for efficient and accurate reporting.- Machine Learning & Predictive Analytics: Apply foundational machine learning techniques to create predictive models and enhance data-driven decision-making for future business strategies.

- Develop and tailor action plans for each phase of the project lifecycle to ensure successful goal achievement.- Provide regular updates to internal teams and the Strategic Sales Team, ensuring rapid identification and resolution of potential issues.- Lead project success by coordinating cross-functional teams and implementing data-driven strategies through advanced project management tools.- Trained team members on project management best practices, improving overall team efficiency.