Jialin Wu
- Evelyn -
As a data analyst, I am striving to become a senior business analyst. I am dedicated to supporting the strategic initiative, seeking out inefficiencies, and offering recommendations for improvements, both functionally and strategically. Also, I am adept at using data analysis to tailor business offerings and strategic choices, as well as to meet the organization's OKRs more effectively. As a result of my extensive experience in advanced analytics, I can provide both top-down and bottom-up answers to a variety of questions.
On top of that, my goal is to positively impact the field of data-driven decision-making through my continued involvement with analytics.
Interests
- Business Intelligence
- Analytics
- Data Management
- Healthcare Industry
Education
- BSBA in Business Analytics @ University of Denver
- MS in Applied Data Science @ University of Chicago
Professional Experience
- Data Analyst @ MoxieLash, Inc.
- Researcher @ Weill Cornell Medicine
Programming Languages: SQL, Python, R, SAS, VBA, VBScript, JavaScript, HTML, CSS, ASP, PHP
Data Tools: Tableau, Power BI, Google Data Studio, IBM SPSS Modeler, JMP, Microsoft Visio, SQL Server Management Studio, Visual Studio, Google BigQuery
Certifications: Microsoft Office Specialist, SAS Certified Specialist, Google Analytics
Years of Experience: Data Analyst
Python Projects
Market Basket Analysis
Utilize market basket analysis to identify customer purchase patterns to increase sales. Its primary objective is to identify products and categories that are more likely to be purchased together.
NLP
Utilize Natural Language Processing (NLP) to analyze text data derived from a variety of sources, including social media, customer service live chats, emails, product reviews and surveys, for example.
Customer Segmentation
Utilize customer segmentation analysis to group customers according to similar characteristics. Segmenting customers is crucial for maximizing customer value and optimizing marketing campaigns.
Sales Forecasting
Utilize the sales forecast technique to estimate revenues for a period of time. With a well-designed sales forecast, companies can devise more effective strategies to counteract risk and mitigate losses.
Cohort Analysis
Utilize cohort analysis to evaluate customer behavior throughout the customer lifecycle, which can uncover issues that are not readily apparent by using overall metrics, especially when marketing methods and activities are constantly changing.
RFM Analysis
Utilize RFM to understand customer behavior and assess customer value. By identifying high-quality customers, the company can develop marketing and communication strategies tailored to customers' specific needs, thereby supporting more effective marketing decisions.
Medical Image Analysis
Medical image analysis leverages advanced machine learning techniques to extract critical diagnostic information from complex medical images, enabling more precise disease detection and treatment planning, and finds applications across diverse domains, including radiology, pathology, and oncology, to drive data-driven decisions and advancements in healthcare.
R Projects
Survival Analysis
Survival analysis is used to analyze time-to-event data and to identify factors that contribute to the occurrence of events of interest. It is used in a wide range of fields, including medical research, economics, engineering, and social sciences, to make informed decisions based on the analysis of such data.