Strategic and resourceful data analyst with a proven ability to translate complex data into actionable insights that solve real-world challenges. Skilled in SQL, Python, Excel, Tableau, and Power BI, with the flexibility to adopt new tools as needed. Known for spotting trends others miss, crafting clear visualizations, and delivering solutions that align with business goals. Focused on driving impact, I use data to uncover opportunities, streamline processes, and contribute to strategies that deliver measurable success.
I worked at Cleveland State University's Athletics Department to stream Soccer, Volleyball and Basketball games on ESPN3.
In my role as a Business Operations Specialist, I combined analytical and technical expertise to deliver data-driven solutions that enhanced business operations and informed strategic decision-making. Utilizing SQL for querying and extracting data from complex databases, I ensured accuracy and consistency across datasets. I applied Excel for data preprocessing, advanced analysis, and the creation of dynamic dashboards, while leveraging Python for uncovering trends, patterns, and key performance indicators. Additionally, I used Tableau and Power BI to design impactful visualizations, enabling stakeholders to easily interpret insights and drive actionable outcomes. Collaborating with cross-functional teams, I developed Standard Operating Procedures (SOPs), optimized workflows, and implemented scalable, long-term solutions. These efforts consistently translated complex data into meaningful insights, driving operational efficiency and supporting strategic business goals.
Projects:
Brand Trust Score (BTS):
Analyzed seller listing data to calculate trust metrics, identified trends and factors affecting credibility, and provided actionable recommendations to enhance marketplace performance and trust. Collaborated with stakeholders across business units to design Tableau dashboards and Excel-based reports, ensuring insights were easily interpretable and aligned with business objectives.
Intellectual Property Compliance:
Conducted detailed analyses to detect trends and patterns of counterfeit, copyright, and patent infringement. Partnered with compliance stakeholders to deliver data-driven insights, mitigate risks, and develop strategies to protect brand assets effectively.
Machine Learning – Stanford Online
February 2020
Developed expertise in machine learning algorithms, including neural networks, supervised/unsupervised learning techniques, and predictive analytics.
https://coursera.org/share/d768c95bf80b802f20bb0c5f6c195335
Using Databases with Python – University of Michigan (Coursera)
March 2020
Learned database design and management with Python, SQL querying, and relational database principles for data-driven solutions.
https://coursera.org/share/fba68dc7fe99a47ad51637c2b39520be