Lin Meng Email & Phone Number

Salt Lake City, Utah, United States

Santa Clara, California, United States

• Developed shock segmentation and mold prediction models leveraging IoT data for supply chain risk analytics, and designed pre-production code modules for batch processing.
• Implemented an interactive live dashboard using Plotly Dash and AWS cloud for real-time cargo data processing, modeling, and risk monitoring. Facilitated monetization of the SaaS offerings.
• Led a team in developing prototype machine learning-based data ingestion solutions for richly formatted data. Reduced the client’s current business operation time by 75%.
• Built a prediction pipeline using a Postgres backend, weakly supervised label model, MLflow on Docker Compose to extract data from documents. Achieved 0.9 F1 score after model retraining.
• Designed and launched the 1st in-house training curriculum for learning the occupational technology toolkit.

San Francisco Bay Area

• Streamed ~200k photos from S3 bucket based on Python scripts and developed image recognition models such as ResNet from scratch in Keras to detect pre-insurance damages.
• Transformed telematics data into string representations and fitted a bag-of-words model to automatically validate the point of impact in crashes.
• Coded a scalable preprocessing pipeline in SQL and PySpark to filter the 30k+ unique sensor events associated with customer claims from unstructured data in multiple data stores.
• Performed Latent Dirichlet Allocation (LDA) on the tokenized insurance notes data. Identified 2 topics that help separate the text for labeling.

Shenzhen, Guangdong, China

• Delivered over 10 research analyses on product, customer, and industry benchmarking to stakeholders. Converted the data-driven insights into customized products and increased assets under management by 600+ million RMB.
• Initiated data visualizations as part of market analysis using ggplot2 in R. Improved OKR of product development for 3 consecutive quarters.
• Built a quantitative investment strategy algorithm in R. Achieved an average 8% annual return with moderate volatility and maximum drawdown over a 5-year horizon.
• Coordinated with different teams through the whole lifecycle of development and fostered positive relationships with 6 external organizations which became long-term business partners.

Shenzhen, Guangdong, China

Xiamen, Fujian, China

• Identified contract-related incentives by integrating the design of quasi-experiment and regularized logistic regression.
• Implemented a data collection and cleaning pipeline using R for 2GB of data on NBA players.

Xiamen, Fujian, China

• Graduate Course: Probability and Statistics
• Held TA sessions of a class (57 students) once a week, gave lectures in English and Chinese, teaching assessment: 4.98/5.0

Chengdu, Sichuan, China

• Wrote equity investment reports of companies under counseling and assisted in the fundraising of 300 million RMB.
• Engaged in the negotiation with 4 enterprises and composition of prospectuses to prepare for their initial public offerings.

Master Of Science - Ms, Data Processing And Data Processing Technology/Technician

Coursework: Machine Learning, Deep Learning, SQL, Spark, A/B testing, Product Analytics, Data Structures and Algorithms, Data Ethics

Master'S Degree, Applied Statistics

Coursework: Generalized Linear Models, Time Series, Econometrics

Bachelor'S Degree, Finance