Data Science Intern
Automated grocery supply chain environment monitoring using machine learning models and business intelligence systems, strengthened food risk traceability, reducing labor costs by 60% and processing time by 90%.
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Mengjie (Maggie) C. is listed as Data Scientist @Walmart | UCSD & CUHK(SZ) Alumnus based in San Diego Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Mengjie (Maggie) C..
Mengjie (Maggie) C. previously worked as Data Science Intern at Walmart and Supply Chain Data Scientist (Capstone) at Thermo Fisher Scientific. Mengjie (Maggie) C. holds Master Of Science - Ms, Business Analytics from Uc San Diego.
I began my career in management consulting. As I witnessed firsthand how big data accelerated the progress of several projects, my curiosity grew, compelling me to dive deeper into data science. Today, I am an aspiring data scientist with a strong foundation in statistics, driven by a passion for crafting research-based, advanced analytical solutions that bring tangible impact.💼 Phase 1: ConsultingIn consulting, I thrived in fast-paced environments, rapidly learning new industries. Armed with a major in Statistics, I mastered the art of translating complex technical concepts into simple terms for non-technical stakeholders. This ability has been key to fostering effective collaboration and driving strategic decision-making through compelling data-driven storytelling.🚀 Phase 2: Research & AnalyticsAt Meituan, I sharpened my skills in model research, implementing advanced A/B testing models like CUPED, MAB, and Sequential Testing. Leveraging my academic research background, my work has had a lasting influence in over 100 experiments, positively impacting more than 10M users.🔬 Phase 3: Product-oriented Data ScienceAt Walmart, I collaborated closely with the product science team in the supply chain department, where I developed and automated machine learning models to monitor and evaluate grocery deliveries. These models reduced labor costs by 90% and contributed to ~$50M in food waste reduction, demonstrating the power of data-driven optimization at scale.I am committed to lifelong learning, staying at the forefront of emerging tech and data science trends. Let's connect to explore potential collaborations, share insights, or discuss the latest in tech, data, and analytics!
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San Bruno, California, United States
Automated grocery supply chain environment monitoring using machine learning models and business intelligence systems, strengthened food risk traceability, reducing labor costs by 60% and processing time by 90%.
Carlsbad, California, United States
● Conducted headroom analysis to identify pain points in excess and obsolete (E&O) risks, optimizing inventory costs by 25% through Monte Carlo simulations.● Enhanced E&O prediction accuracy to 97% for each SKU using LASSO regression and XGBoost, incorporating penalty functions to refine purchasing strategies and reduce inventory waste.
Beijing, China
Researched and implemented advanced online experimentation techniques like overlapping experiments, cluster randomization, and causal inference, addressing the limitations of traditional A/B testing to improve inference quality.
Shenzhen, Guangdong, China
Studied the optimal exploitation strategy of multi-armed bandits under an adversarial environment with limited budget in recommendation systems. Submitted an academic paper revised and under review by an SCI Q1 journal.
Shenzhen, Guangdong, China
• Collaborated with senior consultants to develop tailored anti-money laundering solutions for a banking client. Sorted out pain points of current risk management based on desk research and expert interview.• Extracted indicators from transactional records to assist in constructing a risk warning Random Forest model. Elevated model coverage and accuracy by adjusting parameters.
Shanghai, China
Investigated and analyzed new energy market expansion opportunities
Activities and Societies: VP in Marketing, Rady Student Association Courses: Recommender system, Data-Driven Communication, SQL/ETL.
Activities and Societies: Model United Nations, Mathematical Modeling · Core courses: Statistical Inference, Categorical Data Analysis.
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Mengjie (Maggie) C. is listed as Data Scientist @Walmart | UCSD & CUHK(SZ) Alumnus.
Mengjie (Maggie) C. is based in San Diego Metropolitan Area, United States.
Mengjie (Maggie) C. has worked for Walmart, Thermo Fisher Scientific, Meituan, The Chinese University Of Hong Kong, Shenzhen 香港中文大学(深圳), and Oliver Wyman.
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Mengjie (Maggie) C. holds Master Of Science - Ms, Business Analytics from Uc San Diego.
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