Data Professional Experience

Jianting (Fiona) Li

Lexington, MA

201-***-**** ● *********@*****.***

Skills Summary:

5+ years statistical programming (SAS and R) and modeling experience

1+ year of SAS programming experience in the Biotech/Pharmaceutical industry

Experience with CDISC (ADaM/SDTM) data standards

Solid knowledge in statistics and clinical trials

Highly organized, efficient, and self-motivated.

Strong communication skills; can effectively interact with people of various interests and background.

Professional Experience:

SCIENTIFIC AND ARTISTIC SYSTEMS, LLC, NJ 1/2016 – present

SAS Programmer

Created metadata to map raw data to CDISC compliant SDTM format

Converted raw data to SDTM format and SDTM data to ADAM format

Created tables and listings for safety parameters (AE, labs, vital signs, ECG etc.) using proc report and proc tabulate

Produced statistical summaries by using SAS procedures such as proc freq, proc means and proc univariate

PROCLINPHARM, INC., NJ 6/2015 – 12/2015

Trainee

Received systemic SAS training with targeted application in clinical studies

Annotated CRF according to SDTM specifications

Worked on projects deriving SDTM and ADaM data sets in various domains

Generated tables, figures, and listings for efficacy and safety parameters

TOKIO MARINE MANAGEMENT, INC., New York City, NY 2008 – 2013

Assistant Actuary

Used SQL, R, and SAS to access, process, reconcile, and model premium and loss data

Developed rate level indications by performing analysis on premium, loss, loss expense, underwriting expense and exposure data for various products, lines and states

Prepared rate filings by gathering appropriately documented filing forms, rate level indications, experience exhibits and rate level effect exhibits

Supported cross-functional assistance to Underwriting, Accounting, Claims and ERM data requests

Produced auditing data by gathering claim count triangles, loss and ALAE triangles, partial LDF, special reserves and net earned premium

Developed a computer program based on the statistical language R, which simulates the loss reserve variability of the company’s business. The program utilizes loss and ALAE triangles as input data and outputs reserve variability via implementation of Efron's Bootstrap procedure. And performed statistical analysis of large data sets to find out the best fitting for each line

Reconciled claims loss data between former legacy and replacement database systems

LOYOLA UNIVERSITY, Chicago, IL 2002 – 2004

Teaching Assistant • Statistics Department

Provided assistance for undergraduate and graduate level courses in statistics and probability

Led discussion sessions, held office hours, and evaluated homework

Education and Certificates:

M.S. in Statistics, Loyola University, Chicago, IL, GPA: 4.0/4.0

B.S. in Applied Mathematics, Renmin University of China, Beijing, China

SAS Certified Base Programmer

Credit for CAS courses 1, 2, 3/M, 3L, 4/C, 5 and VEE’s

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