Oseremen Umolu

I am a skilled data analyst and data science modeler with a strong foundation in data-driven decision-making, predictive modeling, and business intelligence. My expertise spans across data analysis, statistical modeling, and machine learning, enabling me to derive meaningful insights from complex datasets and support strategic business decisions.

With hands-on experience in data analysis, I have worked on projects that involve exploratory data analysis (EDA), data visualization, and reporting, helping businesses understand trends, patterns, and key performance indicators (KPIs). My proficiency in tools like Microsoft Excel, Power BI, and SQL allows me to process and analyze large datasets efficiently, while my ability to use Python and R for statistical modeling enhances my analytical capabilities.

In addition to my analytical skills, I specialize in data science modeling, where I leverage machine learning techniques to develop predictive models that drive business outcomes. From regression analysis to classification models and clustering techniques, I apply advanced algorithms to extract valuable insights and forecast trends. I have experience deploying models using Python and Docker, ensuring scalable and efficient implementation of data-driven solutions.

I have also contributed to real-world data projects, such as analyzing business performance for Kevin Cookies Company and conducting profitability analysis using Power BI. My ability to interpret regression analysis, evaluate model performance, and present actionable insights has helped businesses optimize their operations and improve decision-making.

Beyond technical expertise, I have a strong background in training and mentoring, having conducted data analysis training for a World Bank project in collaboration with Jos Business School. My passion for knowledge sharing allows me to help others develop their data skills, whether in Excel, Power BI, SQL, or Python.

With a multidisciplinary background that includes estate management and valuation, I bring a unique perspective to data analysis, applying my skills to diverse industries, including real estate, healthcare, and finance. My goal is to continue leveraging data science and analytics to drive innovation, solve complex problems, and