I am a data analytics graduate student at Rutgers University - New Brunswick, New Jersey. I am a data enthusiast who enjoy strategizing tasks by visualizating and analyzing data. I believe data can help human to better understand our world and ourselves.
I am a Tableau Certified Associate, and still continuously uploading my viz on Tableau Public. Every time I find an interesting objective through my viz, I often move to next step -- modeling, to further dig into that specifc subject.
Before I came to the states, I was a professional swimmer. I had practiced for 12 years. Even now, I still deeply love this sport. Every summer when I go back to Beijing, where I was born and rasied, I worked as a part-time swimming instructor. It's such a rewarding job to me.
Felicia Luo
(732)532-9054
luowanfei@gmail.com
Master in Data Analytics • May 2020
Where I learned and honed my analytical skills and decided to become a data-driven analyst.
B.A. Degree in Economics, minored in Statistics • May 2018
I chose to study in Economics as it helps me to better observe the society.
One-year Next-gen Data Analyst Intern• May 2019 - May 2020
A global asset management company headquarted in Baltimore, MD (accquried by Franklin Templeton on July 2020). My office was located in New York City.
• Work with the IT data team to build AWS Redshift-based enterprise database system and integrate external data and internal data for improving pipeline operations.
• Design and develop new managerial dashboards on Tableau by querying internal and competitive data from enterprise database and external sources to uncover potential growth opportunities in new products or businesses.
• Work on various ad hoc diagnostic and descriptive analytics, and programming assignments using Python.
• Perform monthly and quarterly reports on competitive pricing analysis using SAP BusinessObjects and excel for the US product team and fund board members.
Data Analyst Extern • September 2018 - February 2019
Leading global provider of pharmaceutical devices and technology solutions.
• Research, design and implement predictive models and natural language processing techniques to help spot anomalous transactions using R.
• Collaborate with the internal auditing team to develop solutions for complex internal management and internal audits.
• Design, develop and implement anomalous detection of T&E (Travel and Expenses) transactions by analyzing large structured and unstructured datasets.
I have strong passion on using data to explain things, to discover patterns, and to tease out connections between problems.
I've worked on many data visualizations using Tableau as the tool.
During my past work experience, I built a series of managerial dashboards from scratch, including setting up desired Redshift DB schemas/views and desiging the dashboards by collaborating with the product managers to presenting to the Product Management team.
Click the details to check out my Tableau Profile.
This is a data analysis externship project I've done with 1 more teammate during my senior year. This was also the first time I tried to implement NLP.
NLP,Python,TeamworkThis project focuses on classifying each image by the manufacturer's model of the ultrasound device that was used which is considered as part 1, and then performed part 2 by implementing a Multiple-layer Perceptron model to classify PII and non-PII points on images
Reinforce Learning