Hi, I’m
Camellia Bai
Data Scientist
Summary
Experienced and results-oriented Data Scientist and Data Analyst adept at utilizing advanced analytics, machine learning, and data visualization methods to generate actionable business insights and enhance operational efficiencies. Proficient in Python, SQL, Tableau, and various machine learning frameworks. Eager to apply analytical expertise in a dynamic, data-driven environment.
Overview
6
years of professional experience
Work History
Luminary LLC
Data Scientist
05.2023 - Current
Job overview
- Applied advanced data research methodologies, including predictive modeling and machine learning, to enhance CRM analytics, improving user experience by 25%
- Used SQL to apply advanced data integration and statistical analysis to improve back-end operations across diverse platforms, enhancing operational efficiency
- Developed and deployed data-driven KPIs and data models, improving the capacity to manage and guide project success, leading to elevated business planning and go-to-market strategies.
- Created data visualizations and interactive dashboards to communicate insights across cross-functional teams effectively, improving management decision-making processes.
Innerview Group
Data Scientist
03.2023 - 09.2023
Job overview
- Developed data models and scientific computations using Python and Knime to perform advanced analytics, transforming customer insights into actionable intelligence for the company's flagship product 'InFront'.
- Enhanced client decision-making by creating impactful visualizations in Tableau and Python, underpinned by critical insights, driving data-driven strategies.
- Conducted extensive data mining of historical data to pioneer the production of user personas and industry profiles, providing invaluable market insights and validating industry trends.
T- REX Group (SaaS)
Data Engineer
05.2022 - 10.2022
Job overview
- Optimized data processing by implementing efficient ETL pipelines and automation framework using Python, Ascend.io, and Amazon S3, resulting in a 25% increase in data processing efficiency
- Executed data quality assurance procedures across multiple integrated systems to ensure provision of high-quality data for end users
- Collaborated with Data Insights and DevOps teams to build and maintain the Data Management Platform
VMLY&R (WPP)
Financial Data Analyst
06.2018 - 06.2021
Job overview
- Leveraged VBA to optimize financial performance by streamlining the analysis generation process, resulting in a 30% increase in efficiency
- Supported executive management in making informed decisions by providing ad-hoc analytics reports and real-time financial data visualization
- Analyzed diverse database sets to redefine and monitor KPIs, identifying new financial trends and efficiency optimization opportunities.
- Enhanced financial forecasts with thorough trend analysis and statistical models, resulting in more accurate projections.
Education
Fordham UniversityNew York, NY
Master of Science from Data Science
05.2021 - 05.2023
University Overview
- Dean's Scholarship Recipient
- Relevant Coursework: Python, Text Mining, Machine Learning, Data Analytics, and Artificial Intelligence
- 3.91 GPA
Fordham UniversityNew York, NY
Bachelor of Science from Mathematics And Economics Major, Minor in CS
05.2014 - 05.2018
University Overview
- Relevant Coursework: Financial Modeling, Statistical Analysis, C++, Math Modeling and Database Management
- 3.78 GPA
Skills
SQL
C
R
Data Modeling
PyTorch
TensorFlow
NLP
Tableau
Data Visualization
Data Cleaning
Machine Learning
Data Architecture
Big Data Analytics
Web Analytics
Text Mining
AWS
GCP
GCP
ETL Pipelines
Microsoft Office (Excel: VBA, Macros, Pivot Table, V-Lookup)
Database Management
Git
FP&A
Sentiment Analysis
Financial Reporting
Fluent in Mandarin
Projects
- WebMD Reviews (Python, Tableau): Leveraged advanced topic modeling techniques on a colossal dataset of 300,000 drug reviews, revealing key drivers of patient satisfaction. Applied sophisticated sentiment analysis and implemented cutting-edge feature engineering, resulting in highly accurate predictive models.
- Indeed Job Recommendations: (Python): Transformed user job search experience by processing over 20,000 dynamic data points from Indeed using advanced web scraping techniques, alongside building a recommendation system to guide users towards higher-paying positions with actionable insights on skill trends in diverse job roles.
- Amazon Wildfire Predictions (Weka, Tableau, Python, Excel): Achieved 89.85% accuracy in predicting wildfire locations and timing by employing Bayesian Network classifier along with visualizations
Timeline
Data Scientist
Luminary LLC
05.2023 - Current
Data Scientist
Innerview Group
03.2023 - 09.2023
Data Engineer
T- REX Group (SaaS)
05.2022 - 10.2022
Fordham University
Master of Science from Data Science
05.2021 - 05.2023
Financial Data Analyst
VMLY&R (WPP)
06.2018 - 06.2021
Fordham University
Bachelor of Science from Mathematics And Economics Major, Minor in CS
05.2014 - 05.2018