About me
I am Samuel, a data scientist from Afikpo, Nigeria with a strong detail-oriented and analytical mindset. I am committed to using my expertise in data analysis, statistical modeling, programming to drive business decisions. I have a proven track record of success in improving business processes and identifying opportunities for growth. I am also passionate about using data to make a positive impact on the world.
I grew up in a humble background and had to work hard to get through school. I even sold clothes on the side to make ends meet. But I never gave up on my dream of becoming a data scientist.
I graduated from university with honors and now work as a data scientist for a large tech company. I am using my skills to help businesses make better decisions and mentor young people from my community. I believe that data has the power to transform lives and I am committed to using my skills to make a positive impact on the world.
If you are looking for an experienced and efficient data scientist with a strong analytical mindset, I would be a great fit for your team. I am confident that I can use my skills to help your business grow and achieve its goals.
My Story
Samuel Enyaude is a Data Scientist and IT System Support Engineer with extensive experience in Data Cleaning and Analysis, Data Visualization, Machine Learning, and IT support. He is proficient in Python, Power BI, MySQL, Tableau, Excel, Google Sheet, Git, and SQL. He is an excellent communicator and team player, and he is always willing to help others learn and grow.
Samuel has successfully undertaken a variety of projects, including:
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Creating a data model for Faith City hospital's COVID-19 data collection and processes, which improved the efficiency of the data collection process and led to a 10% increase in the number of patients who were tested.
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Developing a data visualization dashboard that improved a company's customer satisfaction scores by 5%.
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Using machine learning to predict customer churn and help the company increase its sales by 20%.
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Conducted a comprehensive data analysis project on water access and usage patterns in Africa, focusing on the Sustainable Development Goals (SDGs) for water access.
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Identified and mapped different types of water sources and their maintenance status across Africa, providing valuable insights for infrastructure development and resource allocation.
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Uncovered gender disparities in water access in both urban and rural areas, highlighting the need for gender-sensitive water policies and interventions.
Samuel is committed to continuous learning and is driven to publish a data science paper to further contribute to the field. He is passionate about utilizing data to tackle real-world challenges and make a positive impact on the world. He takes joy in mentoring others and aiding their growth in the realm of data science.
In his free time, Samuel enjoys engaging in physical activities, practicing mindful meditation, and expressing his thoughts through writing. He is also an avid learner and is always looking for new areas to explore.
Accomplishment
Situation:
Our hospital's COVID-19 laboratory struggled with a cumbersome data collection and reporting process for testing results. The manual workflow was prone to errors, delayed reporting, and limited insights for administrators.
Task:
As a data analyst, I was tasked with streamlining the data workflow and improving data accuracy to empower data-driven decision-making.
Action:
Analyzed existing processes: I identified bottlenecks and data quality issues in data collection, entry, and reporting in the COVID-19 laboratory.
Developed a data pipeline: I implemented an efficient and automated data capture system in collaboration with the laboratory information system (LIS) developers, focused on the seamless integration of data capture mechanisms in the laboratory setting, and built automated reports.
Data validation and cleaning: I designed data validation rules and applied advanced techniques to detect and correct errors in real time, improving data accuracy by 40%.
Visualization and dashboards: I created interactive dashboards for hospital administrators, providing timely insights on testing trends, resource utilization, and patient outcomes.
Result:
Streamlined data flow reduced reporting delays by 45%.
Improved data accuracy by 60%, enabling confident decision-making based on reliable data.
Administrators gained real-time insights into testing volume, resource allocation, and patient trends, facilitating data-driven resource management and clinical interventions.
Contact
I'm always looking for new and exciting opportunities.
Let's connect.