I'm a meticulous Data Analyst, invested in continuous learning and development. I'm proficient in Excel, Power BI, and Python, with Knowledge in SQL. Hey, don't judge me, I never said I wouldn't learn!
@sinmi_the_analyst
This was an exciting project! dealt with sales analysis of different publishers and sales of games at different regions such as, North america, Europe and Japan. Check this out to see my findings!
Carried out an analysis of suicide rates between 101 countries. This shows the disparities between the male and female genders about suicide, and other insights with regards to the suicide dataset that was worked with. To know more, you should probably view this.
Data Exploration in SQL Server:
With the power of SQL, I navigated this critical dataset, unveiling the story of the pandemic through a data-driven lens that just numbers couldn't show. This was an exciting project by the way.
In my sales analysis using Power BI, I dove into the intricacies of revenue streams, tracked trends, and dissected performance metrics. With Power BI's dynamic dashboards and interactive reports, I craft a personalized view of sales data, empowering me with insights for strategic decision-making.
My journey in exploring this HR dataset using Power BI revolved around understanding the intricacies that affects employees in the workforce. This broadened my understanding to different factors that affect employees such as distance, work life balance and many other factors. You should definitely check this out!
In my predictive diabetes analysis using Python, I delved into the intricate details of health data. Through thorough exploration and preprocessing, I crafted a personalized solution. Leveraging a Support Vector Machine (SVM) with a linear kernel, I achieved commendable accuracy, providing insights that hit close to home. This journey empowered me to understand diabetes risks, making the analysis deeply personal and impactful.
Performed data analysis on Google Play Store data using Excel. Explored app categories, ratings, and user reviews to identify trends. Utilized pivot tables and charts for visual representation. Insights gained include popular categories, average ratings, and correlations between user reviews and app size. Definitely not borring!
Wumba, Abuja, Nigeria