Roger David O.

Hello everyone, I am excited to present myself as a Data Analyst with one year of experience. Throughout my career, I have gained valuable insights into the world of data analysis, honing my skills in Python, PowerBI, Excel, and Google Sheets. Although my experience with SQL is limited, I am eager to expand my knowledge in this area. Today, I will briefly highlight my experience and technical skills in data analysis. Experience Highlights: In my one year as a Data Analyst, I have been involved in various projects that have allowed me to develop a deep understanding of data extraction, cleaning, and analysis. I have used Python extensively to manipulate and analyze data, creating scripts that automate repetitive tasks. Additionally, I have leveraged PowerBI to design interactive dashboards that effectively communicate data insights to stakeholders. Technical Skills: Python: Proficient in data manipulation, statistical analysis, and machine learning. PowerBI: Skilled in creating interactive dashboards for data visualization and reporting. Excel: Advanced proficiency in data cleaning, formula creation, and advanced analysis techniques. Google Sheets: Experienced in collaborative data analysis and sharing insights with stakeholders. SQL: Although my expertise is limited, I have a foundational understanding of querying databases for data extraction and transformation. Project Highlights: I have had the privilege of working on a variety of projects that have showcased my data analysis skills. For instance, I analyzed sales data to identify key revenue drivers and recommended strategies for growth. Additionally, I built a backtest for a StockMarket index that tested a investing strategy with the S&P500. Key Achievements: I take pride in my accomplishments as a Data Analyst. Notably, I developed a Python script that automated data cleaning processes, saving significant time each week. Moreover, my implementation of a new data visualization strategy using PowerBI increased stakeholder engagement. Lastly, I identified cost-saving opportunities through data analysis, resulting in a 15% reduction in operational expenses. Conclusion: As a Data Analyst, my goal is to leverage the power of data to drive informed decision-making. I am eager to expand my knowledge in SQL to enhance my data analysis capabilities further. Additionally, I aim to develop my skills in machine learning for predictive analytics projects. Continual professional development is essential to stay up-to-date with the latest data analysis techniques and tools. Thank you for your attention. I am available to answer any questions you may have. Best regards, Dabid