Introducing a valuable asset for your pharmaceutical endeavors: a consultant who is equipped with fundamental knowledge of the pharmaceutical industry and a wealth of experience utilizing statistics to analyze claims data proficiently, employing Python and SQL which position as an invaluable asset in unlocking the full potential of your pharmaceutical data to drive strategic decisions.
KMK Consulting Inc. – Morristown, NJ (Sept 2022 – Present)
Associate Commercial Analyst
⦿ Completed intensive fundamental training regarding fundamentals of the pharmaceutical industry, including courses such as Pharma Companies, Field Force, etc.
⦿ Evaluated several real-life, client-based projects, using Python and SQL, to enhance analytical capabilities and problem-solving skills.
⦿ Supported ad-hoc requests for analogs search of emerging pharma company.
⦿ Followed and supported promotional response project to answer different client queries.
Investment Fund Management Firm – Shanghai, China (May 2021 – Aug 2021)
Investment Analyst Intern
⦿ Collected real-time healthcare industry news and prepared weekly reports for investment purposes.
⦿ Compiled industry research reports of specific regions or sectors, such as active pharmaceutical ingredients.
⦿ Reported on and monitored existing portfolio companies developing detailed financial models for associates and reviewing determining initial project setup in system with key stakeholders.
⦿ Worked with deal teams to evaluate potential investment opportunities through industry research, data analysis, and review of financial and business information, and supported execution of live deal with Esign.
Securities Firm – Jinan, China (Aug 2019 – Dec 2019)
Risk Management Intern
⦿ Assisted in the evaluation and presentation of financial performance, monthly and quarterly forecasting, scenario modeling, and sensitivity analysis, and performed financial analysis and general ledger duties.
⦿ Visualized the data from financial statements of companies in several industries to easily present the financial condition to the trading group for avoiding imperceptible risks.
⦿ Used Excel to create monthly, quarterly, and adhoc financial reports to help trading groups establish a good fund allocation plan.
Technology Firm – Los Angeles, CA (Jun 2018 – Aug 2019)
⦿ Planned for several marketing assignments, including investigating the performance of previous advertisement, comparing sales with opponents etc. Contacted advertisers and published advertisements.
⦿ Researched and collected marketing information based on public interest on topics such as restaurant preference, interface design preference, and app demand. Assisted the technology team in developing the main market-driven functions of the app.
Prediction by Early Detection
⦿ Aimed to find out how to predict cardiovascular disease by analyzing hundreds of cases of illness as data points and 16 risk factors as predict variables. Tested samples using the prediction model constructed by regression method for accuracy. Further investigated the prediction of CVDs and found out 8 symptoms as the significant factors.
Demographic Data Analysis on Tumor PET/CT Images
⦿ Assisted in analyzing and processing raw data from National Cancer Database, Orphanet, etc, for developing an objective and quantitative criterion to aid cancer diagnosis with a focus on the radiomics analysis of Positron Emission Tomography/ Computed Tomography (PET/CT) images. Visualized the data with scatter chart to easily locate the key points with high concentration of radioactive tracer.
Tools: Excel, Python, SQL, SEQ
Master of Science in Law
Northwestern University Chicago, Illinois
Bachelor of Science in Mathematical Science
University of California, California