About Me.
Hello! I'm Dan Wu, I go by Dani :), a Master of Applied Statistics and Data Science student at UCLA, with a deep passion for unraveling the mysteries hidden within data. When I'm not immersed in complex statistical models or leading groundbreaking projects in predictive analytics, you can find me exploring the world through my camera lens.
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Photography is more than just a hobby for me; it's a way of capturing the fleeting moments that we often overlook. My journey through various landscapes—both urban and natural—is not just about the destinations, but about the stories and the diverse cultures I encounter along the way. I will keep posting some great photograph on this website to record the beautiful world.
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As an avid traveler, I've had the privilege of visiting numerous countries, each adding a layer of complexity and joy to my life. These experiences not only broaden my perspective but also enhance my creativity, which spills over into my analytical work, allowing me to approach problems with a fresh and nuanced perspective.
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Professionally, I aspire to lead data-driven projects that not only push the boundaries of what analytics can achieve but also improve people's lives tangibly. I am eager to collaborate with organizations that are committed to ethical data use and innovative approaches to solving complex issues.
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Whether through code, a lens, or simple human interaction, I am passionate about learning and leaving a positive mark on the world. If you resonate with my journey and goals, let’s connect and explore how we can collaborate for a brighter, data-informed future!
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You may find my current Resume below to explore a more professional way of me~
Education
2023.9-Present
(Expected: Dec, 2024)
University of California - Los Angeles
Master of Applied Statistics and Data Science (currently pursuing)
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Related Coursework:
Machine Learning (Python - Pytorch, Numpy), Stat Computing and Programming (Terminal, Gitlab, Python, SQL), Applied Multivariate Statistics (R), Statistical Models in Finance (R), Data Management (AWS, Cloud Computing, Terminal), Tools in Data Science (Python), Data Visualization (R - ggplot, shiny; Python - Matplotlib, Seaborn, Plotly; Tableau).
2021.7-2023.6
(Graduated)
University of California - Los Angeles
B.S. in Statistics and Data Science and Minor in Mathematics
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Related Coursework:
Statistical Programming with R, Probability, Mathematical Statistics, Data Analysis and Regression, Computational Statistics with R, Linear Model, Design and Analysis of Experiment, Computation and Optimization for Statistics, Statistical Models and Data Mining, Monte Carlo Methods, Practice of Statistical Consulting I & II, Linear Algebra, Optimization (MATLAB).
Professional Experience
2021.10-2021.12
PwC
Process Quality Assurance Intern
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Utilized Alteryx for data collection and analysis, employed Boosted Models and Principal Component Analysis, enhanced prediction accuracy, reduced dimensionality, which led further refinements to the analytical process.
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Implemented Bayesian models for regression analysis to evaluate 16-quality control metrics, achieving an accuracy of 94%, which optimized the quality assurance process and contributed to a 15% improvement in the accuracy of quality forecasts.
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Engaged in the evaluation process with a third-party entity, Measures, to analyze the potential risks of the project and streamlined the process of testing Agile methodologies.
2021.6-2021.9
Shangli Information Technology (Shanghai) Co., Ltd.
Data Intern
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Compiled and organized over 300 annual reports from executive leaders, supplemented by public recruitment data from platforms such as LinkedIn. Successfully extracted and cleansed salary data across various company positions and ranks.
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Conducted secondary research on the client’s industry and utilized Salesforce to analyze employee registration data to provide insights that allowed the company to set more competitive salary standards based on industry benchmarks.
