Fine Dinning Analytics Resume
5.00/5 (Submit Your Rating)
TECHNICAL SKILLS:
- Power BI
- R SQL
- Java Microsoft Word
- PowerPoint, Excel
PROFESSIONAL EXPERIENCE:
Confidential
Fine Dinning Analytics
Responsibilities:
- Created different sets of data for testing and training using R programming
- Modeled and interpreted table turn over on training data set using Multiple Regression
- Predicted and validated top 10 restaurant with table turn over, by incorporating regression result on testing data set
- Solved different queries related to a Confidential system using SQL
- Performed analysis and presented results using SQL
Confidential
Securities Operations Associate
Responsibilities:
- Monitored and managed large volumes of transactions updates in systems and performed reconciliations daily
- Assisted the Global Asset Administration Department during month - ends by reviewing agent bank notices in Laserfiche and update quick fields as well as distribute specific notifications to appropriate parties accordingly
- Researched and communicated with counterparts to ensure accuracy of transaction flow and followed up on outstanding issues
Confidential
Repair Tech and Sales Representative
Responsibilities:
- Respond to customers technical and hardware problems and research the best solution to the problem daily
- Create a step by step guide to test and diagnose technical issues related to smartphone and connected devices
- Analyze the customer daily habit to determine the best accessories for their device efficiency
- Analyzed and processed up to 200 customer returns per day while multitasking with customer services and stock leads to ensure proper handling of products
- Managed and verified up to 15 delivery route and merchandise return sent through them
- Reduced fraudulent returns by consulting with different department managers and created a return guideline to be used by other employees and customers.
- Lead a team of 5 people to restock up to 30 merchandises throughout the day
- Improved efficiency with sales and stocking by strategically organizing merchandise location’s
- Trained and assisted up to 5 new employees on work procedures and store policy