Sijia Zeng

Los Angeles, CA +1-424-***-**** ad4fug@r.postjobfree.com https://www.linkedin.com/in/sophiezeng/ Technical Skills

Data Analytics & Visualization: Tableau, PowerBI, A/B Testing, Pandas, NumPy, Matplotlib, Machine Learning, R Shiny, Spark, Hive, Programming Languages: Python, SQL, R, MATLAB, HTML, CSS, WTForms, Java, JavaScript, C++, Ruby Soft Skills: Problem-Solving, Cross-Functional Collaboration, Communication, Leadership, Public Speaking, Critical Thinking EDUCATION

ANDERSON SCHOOL OF MANAGEMENT, UNIVERSITY OF CALIFORNIA, LOS ANGELES Los Angeles, CA Master of Science, Business Analytics (MSBA) Expected December 2024

• Data Management, Marketing, Behavioral Economics, Prescriptive Analysis, Pricing Strategies, Optimization Math, Data Mining UNIVERSITY OF CALIFORNIA, LOS ANGELES Los Angeles, CA Bachelor of Science in Economics (Major GPA: 3.9/4.0) June 2023

• Statistics (regression models), Brand Management Quantitative Modeling, Stochastic Process, Forecasting, Accounting PROFESSIONAL EXPERIENCE

TIKTOK /BYTEDANCE Los Angeles, CA

Spring Large Language Model Global Data Analyst April 2024 – June 2024

• Will establish large-scale distributed fine tuning and training infrastructure, deploying LLMs on GPU instances for real-time use

• Will develop new product features using advanced machine learning algorithms, LLMs and statistical techniques PING AN INSURANCE Shenzhen, China

Summer Data Analyst of Big Data Analysis Department July 2023 – September 2023

• Refined a customer retention model by utilizing R’s caret and Random Forest packages for feature selection and by building a logistic regression model to predict the likelihood of subscription renewals among e-commerce clients, narrowing down on the five influential factors and boosting prediction precision by 11.5% to enable more targeted retention effort and personalized offer

• Conducted a SQL-based risk management model to evaluate clients’ risk and predict their behavior with a precision of 87.3%

• Updated feature weight and fine-tuned risk-alerting algorithms using Random Forests and KNN using R to enhance the precision and recall of the system, resulting in improvements to discern subtle data patterns with an accuracy increase of 16.8%

• Innovated a deep learning algorithm to evaluate the influence of different agents, leveraging LSTM networks to process sequential agent-customer interaction data resulting in a 34.7% uplift in the acquisition of a B-2-B property insurance contracts

• Led a data integration algorithm to combine customer interaction and transaction data and to identify influential factors on customer loyalty via usability testing and statistical analysis, leading to a 23.8% uplift in subscription renewal rate E3 MANAGEMENT SOLUTIONS Los Angeles, CA

Off-cycle Business Analyst March 2023 – June 2023

• Drafted a 17-page visualization that tracked market metrics (ARPU), churn rate, and retention rate) using Tableau and PowerBI, providing strategic insights for gaming industry and facilitating data-driven decision-making in content sales strategies

• Assisted a strategic consulting of an e-commerce startup using cluster analysis and PCA to target marketing campaigns and efficient resource distribution, enhancing customer engagement and sales conversion to create a $34,000 synergy

• Conducted data analysis on 100+ gaming industry reports to visualize future geographic and business expansion plans COVE STREET CAPITAL Los Angeles, CA

Summer Marketing & Investing Associate July 2022 - September 2022

• Spearheaded a marketing strategy overhaul of an e-commerce company by focusing on multi-channel advertising campaigns and rigorous A/B testing of Google ad copy, leading to an improvement in ROI of 18.3% and a reinforcement of brand name

• Quantified the moat and profitability of invested firms and presented the performance of small-cap portfolio in client meeting

• Visualized portfolio historical performance and networked in market to build partnerships and to optimized customer loyalty PROJECT & LEADERSHIP EXPERIENCE

TEAM LEADER, NEURAL NETWORK DEVELOPMENT WITH KERAS Los Angeles, CA

• Utilized Keras for neural network architecture design, emphasizing multi-layer configurations and diverse activation functions for complex classification tasks and implementing randomized cross-validation to calculate the best parameter set using Python

• Developed a neural network model using only dense layers and dropout layers and enhanced performance via strategic optimization via SGD, loss functions and learning rate adjustments to improve the accuracy, recall, precision, F1 and AUC

• Applied data standardization and one-hot encoding to ensure model accuracy, demonstrating attention to data integrity and validated a neural network for credit default prediction, highlighting practical problem-solving skills and technical application TEAM LEADER, LIFE EXPECTANCY PREDICTION Los Angeles, CA

• Performed data analysis on a life expectancy dataset to demonstrate proficiency in predictive modeling and statistical analysis

• One-hot encoded and standardized variables and applied multiple linear regression to predict life expectancy, leveraging Python libraries (NumPy and pandas etc.) for data manipulation and utilizing VIF and K-fold Cross Validation to select the best model

• Plotted heatmap and chart to visualize the distribution of factors, enabling interpretation of dataset to inform model development

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